feat: Add unified agent integration with Prometheus, Every Code, and Dexto
This commit adds comprehensive integration of three major AI agent platforms: ## MCP Servers (3) - Prometheus MCP: Knowledge graph code reasoning with AST analysis - Every Code MCP: Fast terminal-based coding agent with Auto Drive - Dexto MCP: Agent harness with orchestration and session management ## Claude Code Skills (6) - /agent-plan: Generate implementation plans - /agent-fix-bug: Fix bugs end-to-end - /agent-solve: Solve complex problems - /agent-review: Review code quality - /agent-context: Get code context - /agent-orchestrate: Orchestrate workflows ## Ralph Auto-Integration - Pattern-based auto-trigger for all three platforms - Intelligent backend selection - Multi-platform coordination - Configuration in ralph/ralph.yml ## Documentation - Complete integration guides - Ralph auto-integration documentation - Setup scripts - Usage examples Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
uroma
495
mcp-servers/dexto-mcp/src/index.ts
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495
mcp-servers/dexto-mcp/src/index.ts
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#!/usr/bin/env node
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/**
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* Dexto MCP Server
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*
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* MCP server for the Dexto agent harness, exposing session management,
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* orchestration, and MCP client/server capabilities.
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*/
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import { Server } from "@modelcontextprotocol/sdk/server/index.js";
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import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
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import {
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CallToolRequestSchema,
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ListToolsRequestSchema,
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} from "@modelcontextprotocol/sdk/types.js";
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import { z } from "zod";
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import * as fs from "fs";
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import * as path from "path";
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import { spawn, ChildProcess } from "child_process";
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// Tool input schemas
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const CreateAgentSchema = z.object({
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name: z.string(),
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config: z.string(), // YAML config
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});
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const RunAgentSchema = z.object({
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agent: z.string(),
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input: z.string(),
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session: z.string().optional(),
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});
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const ListSessionsSchema = z.object({});
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const ResumeSessionSchema = z.object({
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sessionId: z.string(),
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});
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const OrchestrateSchema = z.object({
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workflow: z.string(), // YAML workflow definition
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input: z.string(),
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});
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class DextoMCPServer {
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private server: Server;
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private dextoPath: string;
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private activeSessions: Map<string, ChildProcess> = new Map();
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constructor(dextoPath: string) {
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this.dextoPath = dextoPath;
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this.server = new Server(
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{
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name: "dexto-mcp",
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version: "0.1.0",
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},
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{
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capabilities: {
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tools: {},
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},
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}
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);
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this.setupHandlers();
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}
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private setupHandlers() {
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// List available tools
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this.server.setRequestHandler(ListToolsRequestSchema, async () => {
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return {
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tools: [
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{
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name: "dexto_create_agent",
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description: "Create a custom agent from YAML configuration",
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inputSchema: {
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type: "object",
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properties: {
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name: { type: "string", description: "Agent name" },
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config: { type: "string", description: "YAML agent configuration" },
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},
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required: ["name", "config"],
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},
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},
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{
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name: "dexto_run_agent",
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description: "Run a configured agent with input",
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inputSchema: {
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type: "object",
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properties: {
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agent: { type: "string", description: "Agent name or ID" },
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input: { type: "string", description: "Input for the agent" },
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session: { type: "string", description: "Optional session ID to resume" },
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},
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required: ["agent", "input"],
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},
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},
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{
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name: "dexto_list_sessions",
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description: "List all active and historical sessions",
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inputSchema: {
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type: "object",
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properties: {},
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},
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},
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{
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name: "dexto_resume_session",
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description: "Resume a previous session",
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inputSchema: {
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type: "object",
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properties: {
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sessionId: { type: "string", description: "Session ID to resume" },
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},
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required: ["sessionId"],
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},
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},
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{
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name: "dexto_orchestrate",
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description: "Orchestrate multi-agent workflow",
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inputSchema: {
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type: "object",
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properties: {
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workflow: { type: "string", description: "YAML workflow definition" },
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input: { type: "string", description: "Workflow input" },
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},
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required: ["workflow", "input"],
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},
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},
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{
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name: "dexto_mcp_connect",
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description: "Connect to an MCP server",
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inputSchema: {
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type: "object",
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properties: {
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serverName: { type: "string", description: "Name for the MCP server" },
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command: { type: "string", description: "Command to start MCP server" },
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args: { type: "array", items: { type: "string" }, description: "Arguments for MCP server" },
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},
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required: ["serverName", "command"],
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},
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},
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{
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name: "dexto_mcp_list_tools",
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description: "List available tools from connected MCP servers",
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inputSchema: {
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type: "object",
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properties: {
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serverName: { type: "string", description: "MCP server name" },
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},
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},
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},
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{
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name: "dexto_memory_store",
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description: "Store information in agent memory",
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inputSchema: {
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type: "object",
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properties: {
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key: { type: "string", description: "Memory key" },
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value: { type: "string", description: "Value to store" },
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session: { type: "string", description: "Optional session ID" },
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},
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required: ["key", "value"],
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},
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},
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{
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name: "dexto_memory_retrieve",
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description: "Retrieve from agent memory",
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inputSchema: {
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type: "object",
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properties: {
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key: { type: "string", description: "Memory key" },
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session: { type: "string", description: "Optional session ID" },
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},
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required: ["key"],
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},
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},
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],
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};
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});
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// Handle tool calls
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this.server.setRequestHandler(CallToolRequestSchema, async (request) => {
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const { name, arguments: args } = request.params;
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try {
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switch (name) {
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case "dexto_create_agent":
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return await this.createAgent(args);
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case "dexto_run_agent":
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return await this.runAgent(args);
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case "dexto_list_sessions":
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return await this.listSessions();
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case "dexto_resume_session":
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return await this.resumeSession(args);
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case "dexto_orchestrate":
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return await this.orchestrate(args);
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case "dexto_mcp_connect":
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return await this.mcpConnect(args);
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case "dexto_mcp_list_tools":
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return await this.mcpListTools(args);
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case "dexto_memory_store":
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return await this.memoryStore(args);
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case "dexto_memory_retrieve":
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return await this.memoryRetrieve(args);
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default:
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throw new Error(`Unknown tool: ${name}`);
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}
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} catch (error) {
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const errorMessage = error instanceof Error ? error.message : String(error);
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return {
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content: [
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{
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type: "text",
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text: JSON.stringify({ error: errorMessage }),
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},
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],
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};
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}
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});
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}
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private async createAgent(args: any) {
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const { name, config } = args;
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// Save agent config to Dexto's agents directory
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const agentsDir = path.join(this.dextoPath, "agents");
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const agentFile = path.join(agentsDir, `${name}.yaml`);
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await fs.promises.mkdir(agentsDir, { recursive: true });
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await fs.promises.writeFile(agentFile, config);
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return {
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content: [
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{
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type: "text",
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text: JSON.stringify({
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success: true,
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agent: name,
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path: agentFile,
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message: `Agent '${name}' created successfully`,
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}),
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},
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],
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};
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}
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private async runAgent(args: any) {
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const { agent, input, session } = args;
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// Run Dexto agent via CLI
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const dextoArgs = ["--agent", agent, input];
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if (session) {
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dextoArgs.push("--session", session);
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}
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const result = await this.runDextoCommand(dextoArgs);
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return {
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content: [
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{
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type: "text",
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text: result,
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},
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],
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};
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}
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private async listSessions() {
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const sessionsDir = path.join(this.dextoPath, "sessions");
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if (!fs.existsSync(sessionsDir)) {
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return {
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content: [
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{
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type: "text",
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text: JSON.stringify({ sessions: [] }),
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},
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],
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};
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}
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const sessions = fs.readdirSync(sessionsDir)
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.filter(f => f.endsWith(".json"))
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.map(f => {
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const sessionData = JSON.parse(fs.readFileSync(path.join(sessionsDir, f), "utf-8"));
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return {
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id: f.replace(".json", ""),
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agent: sessionData.agent,
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created: sessionData.created,
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status: sessionData.status,
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};
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});
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return {
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content: [
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{
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type: "text",
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text: JSON.stringify({ sessions }),
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},
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],
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};
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}
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private async resumeSession(args: any) {
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const { sessionId } = args;
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const result = await this.runDextoCommand(["--resume", sessionId]);
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return {
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content: [
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{
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type: "text",
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text: result,
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},
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],
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};
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}
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private async orchestrate(args: any) {
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const { workflow, input } = args;
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// Save workflow temporarily
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const workflowFile = path.join(this.dextoPath, ".temp-workflow.yaml");
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await fs.promises.writeFile(workflowFile, workflow);
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const result = await this.runDextoCommand(["--workflow", workflowFile, input]);
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// Cleanup
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fs.unlinkSync(workflowFile);
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return {
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content: [
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{
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type: "text",
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text: result,
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},
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],
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};
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}
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private async mcpConnect(args: any) {
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const { serverName, command, args: cmdArgs } = args;
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// This would integrate with Dexto's MCP client capabilities
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// For now, return a placeholder
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return {
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content: [
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{
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type: "text",
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text: JSON.stringify({
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message: `MCP connection to '${serverName}' queued`,
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command,
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args: cmdArgs,
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note: "Full MCP client integration requires Dexto's MCP module",
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}),
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},
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],
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};
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}
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private async mcpListTools(args: any) {
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const { serverName } = args;
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return {
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content: [
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{
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type: "text",
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text: JSON.stringify({
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server: serverName,
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tools: [],
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note: "Tool listing requires active MCP connection",
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}),
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},
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],
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};
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}
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private async memoryStore(args: any) {
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const { key, value, session } = args;
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const memoryDir = path.join(this.dextoPath, "memory");
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await fs.promises.mkdir(memoryDir, { recursive: true });
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const memoryFile = session
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? path.join(memoryDir, `${session}.json`)
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: path.join(memoryDir, "default.json");
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let memory: Record<string, any> = {};
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if (fs.existsSync(memoryFile)) {
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memory = JSON.parse(fs.readFileSync(memoryFile, "utf-8"));
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}
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memory[key] = { value, timestamp: Date.now() };
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await fs.promises.writeFile(memoryFile, JSON.stringify(memory, null, 2));
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return {
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content: [
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{
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type: "text",
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text: JSON.stringify({ success: true, key, stored: true }),
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},
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],
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};
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}
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private async memoryRetrieve(args: any) {
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const { key, session } = args;
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const memoryDir = path.join(this.dextoPath, "memory");
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const memoryFile = session
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? path.join(memoryDir, `${session}.json`)
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: path.join(memoryDir, "default.json");
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if (!fs.existsSync(memoryFile)) {
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return {
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content: [
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{
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type: "text",
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text: JSON.stringify({ error: "Memory not found" }),
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},
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],
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};
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}
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const memory = JSON.parse(fs.readFileSync(memoryFile, "utf-8"));
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const value = memory[key];
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return {
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content: [
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{
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type: "text",
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text: JSON.stringify({ key, value }),
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},
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],
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};
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}
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private async runDextoCommand(args: string[]): Promise<string> {
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return new Promise((resolve, reject) => {
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const dextoProcess = spawn("dexto", args, {
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cwd: this.dextoPath,
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stdio: ["pipe", "pipe", "pipe"],
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});
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let stdout = "";
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let stderr = "";
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dextoProcess.stdout?.on("data", (data) => {
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stdout += data.toString();
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});
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dextoProcess.stderr?.on("data", (data) => {
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stderr += data.toString();
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});
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dextoProcess.on("close", (code) => {
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if (code === 0) {
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resolve(stdout);
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} else {
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reject(new Error(`Dexto exited with code ${code}: ${stderr}`));
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}
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});
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dextoProcess.on("error", (error) => {
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reject(error);
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});
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});
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}
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async start() {
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const transport = new StdioServerTransport();
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await this.server.connect(transport);
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}
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}
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// CLI entry point
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async function main() {
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const args = process.argv.slice(2);
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let dextoPath = process.env.DEXTO_PATH || process.cwd();
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for (let i = 0; i < args.length; i++) {
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if (args[i] === "--config" && i + 1 < args.length) {
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const configPath = args[i + 1];
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dextoPath = path.dirname(configPath);
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break;
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}
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if ((args[i] === "--dexto-path" || args[i] === "-d") && i + 1 < args.length) {
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dextoPath = args[i + 1];
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break;
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}
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}
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const server = new DextoMCPServer(dextoPath);
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await server.start();
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}
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main().catch(console.error);
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