Skip to main content
Glama
main.ts3.22 kB
#!/usr/bin/env node /** * mcpGraph - MCP server that runs a directed graph of MCP server calls */ import { logger } from './logger.js'; import { loadConfig } from './config/loader.js'; import { validateGraph } from './graph/validator.js'; import { GraphExecutor } from './execution/executor.js'; import { McpClientManager } from './mcp/client-manager.js'; import { Server } from '@modelcontextprotocol/sdk/server/index.js'; import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'; import { ListToolsRequestSchema, CallToolRequestSchema } from '@modelcontextprotocol/sdk/types.js'; import { parseArgs } from 'node:util'; const { values } = parseArgs({ options: { config: { type: 'string', short: 'c', default: 'config.yaml', }, }, }); async function main() { try { const configPath = values.config || 'config.yaml'; logger.info(`Loading configuration from: ${configPath}`); const config = loadConfig(configPath); const errors = validateGraph(config); if (errors.length > 0) { logger.error('Graph validation failed:'); for (const error of errors) { logger.error(` - ${error.message}`); } process.exit(1); } logger.info(`Loaded configuration: ${config.server.name} v${config.server.version}`); logger.info(`Tools defined: ${config.tools.map(t => t.name).join(', ')}`); const clientManager = new McpClientManager(); const executor = new GraphExecutor(config, clientManager); // Initialize MCP server const server = new Server( { name: config.server.name, version: config.server.version, }, { capabilities: { tools: {}, }, } ); // Register tools server.setRequestHandler(ListToolsRequestSchema, async () => ({ tools: config.tools.map(tool => ({ name: tool.name, description: tool.description, inputSchema: tool.inputSchema, })), })); server.setRequestHandler(CallToolRequestSchema, async (request) => { const toolName = request.params.name; const tool = config.tools.find(t => t.name === toolName); if (!tool) { throw new Error(`Tool not found: ${toolName}`); } logger.info(`Tool called: ${toolName}`); const result = await executor.executeTool(toolName, request.params.arguments || {}); return { content: [ { type: 'text', text: JSON.stringify(result), }, ], structuredContent: result as Record<string, unknown>, }; }); const transport = new StdioServerTransport(); await server.connect(transport); logger.info('mcpGraph MCP server running on stdio'); } catch (error) { logger.error(`Error: ${error instanceof Error ? error.message : String(error)}`); if (error instanceof Error && error.stack) { logger.error(error.stack); } process.exit(1); } } main().catch((error) => { logger.error(`Fatal error: ${error instanceof Error ? error.message : String(error)}`); if (error instanceof Error && error.stack) { logger.error(error.stack); } process.exit(1); });

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TeamSparkAI/mcpGraph'

If you have feedback or need assistance with the MCP directory API, please join our Discord server