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Glama

AI Agent Template MCP Server

by bswa006
server.ts1.71 kB
import { Server } from '@modelcontextprotocol/sdk/server/index.js'; import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'; import { CallToolRequestSchema, ListResourcesRequestSchema, ListToolsRequestSchema, ListPromptsRequestSchema, ReadResourceRequestSchema, GetPromptRequestSchema, } from '@modelcontextprotocol/sdk/types.js'; import { setupResources } from './resources/index.js'; import { setupTools } from './tools/index.js'; import { setupPrompts } from './prompts/index.js'; // Initialize MCP server const server = new Server( { name: 'mcp-context-manager', version: '2.1.0', }, { capabilities: { resources: {}, tools: {}, prompts: {}, }, } ); try { // Setup resources (template content, patterns, context) setupResources(server); console.error('Resources setup complete'); } catch (error) { console.error('Failed to setup resources:', error); } try { // Setup tools (generators, validators, analyzers) setupTools(server); console.error('Tools setup complete'); } catch (error) { console.error('Failed to setup tools:', error); } try { // Setup prompts (workflow templates) setupPrompts(server); console.error('Prompts setup complete'); } catch (error) { console.error('Failed to setup prompts:', error); } // Handle errors server.onerror = (error) => { console.error('[MCP Error]', error); }; // Start the server async function main() { const transport = new StdioServerTransport(); await server.connect(transport); console.error('MCP Context Manager Server started successfully'); } main().catch((error) => { console.error('Failed to start server:', error); process.exit(1); });

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