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Get Started Free →Configure WebSocket transport for bidirectional MCP communication with connection management and reconnection handling.
.claude/skills/a5c-ai-mcp-transport-websocket-setup/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 7% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 26% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 12% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 0% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 41% | 0% |
Configure WebSocket transport for bidirectional MCP communication.
Invoke this skill when you need to:
| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | language | string | Yes | Target language | | server | boolean | No | Generate server code (default: true) | | client | boolean | No | Generate client code (default: false) | | secure | boolean | No | Use WSS (default: true) |
typescriptimport { WebSocketServer, WebSocket } from 'ws'; import { Server } from '@modelcontextprotocol/sdk/server/index.js'; interface Connection { ws: WebSocket; server: Server; lastPing: number; } const connections = new Map<string, Connection>(); const wss = new WebSocketServer({ port: parseInt(process.env.WS_PORT || '8080'), path: '/mcp', }); // Heartbeat interval const HEARTBEAT_INTERVAL = 30000; wss.on('connection', (ws, req) => { const connectionId = crypto.randomUUID(); console.log(`New connection: ${connectionId}`); // Create MCP server for this connection const server = new Server( { name: 'my-mcp-server', version: '1.0.0' }, { capabilities: { tools: {}, resources: {} } } ); // Register handlers registerToolHandlers(server); // Store connection connections.set(connectionId, { ws, server, lastPing: Date.now(), }); // Handle messages ws.on('message', async (data) => { try { const message = JSON.parse(data.toString()); await handleMessage(connectionId, message); } catch (error) { console.error('Failed to process message:', error); ws.send(JSON.stringify({ jsonrpc: '2.0', error: { code: -32700, message: 'Parse error' }, })); } }); // Handle close ws.on('close', () => { console.log(`Connection closed: ${connectionId}`); connections.delete(connectionId); }); // Handle errors ws.on('error', (error) => { console.error(`Connection error: ${connectionId}`, error); }); // Respond to pings ws.on('pong', () => { const conn = connections.get(connectionId); if (conn) conn.lastPing = Date.now(); }); }); // Heartbeat check setInterval(() => { const now = Date.now(); connections.forEach((conn, id) => { if (now - conn.lastPing > HEARTBEAT_INTERVAL * 2) { console.log(`Terminating stale connection: ${id}`); conn.ws.terminate(); connections.delete(id); } else { conn.ws.ping(); } }); }, HEARTBEAT_INTERVAL); async function handleMessage(connectionId: string, message: any) { const conn = connections.get(connectionId); if (!conn) return; // Process MCP message and send response // Implementation depends on message type } console.log(`WebSocket MCP Server running on port ${process.env.WS_PORT || 8080}`);
typescriptimport WebSocket from 'ws'; interface MCPClientOptions { url: string; reconnect?: boolean; maxRetries?: number; } class MCPWebSocketClient { private ws: WebSocket | null = null; private reconnectAttempts = 0; private maxRetries: number; private reconnectDelay = 1000; constructor(private options: MCPClientOptions) { this.maxRetries = options.maxRetries ?? 5; } async connect(): Promise<void> { return new Promise((resolve, reject) => { this.ws = new WebSocket(this.options.url); this.ws.on('open', () => { console.log('Connected to MCP server'); this.reconnectAttempts = 0; this.reconnectDelay = 1000; resolve(); }); this.ws.on('message', (data) => { const message = JSON.parse(data.toString()); this.handleMessage(message); }); this.ws.on('close', () => { console.log('Disconnected from MCP server'); if (this.options.reconnect) { this.attemptReconnect(); } }); this.ws.on('error', (error) => { console.error('WebSocket error:', error); reject(error); }); }); } private attemptReconnect() { if (this.reconnectAttempts >= this.maxRetries) { console.error('Max reconnection attempts reached'); return; } this.reconnectAttempts++; const delay = this.reconnectDelay * Math.pow(2, this.reconnectAttempts - 1); console.log(`Reconnecting in ${delay}ms (attempt ${this.reconnectAttempts})`); setTimeout(() => { this.connect().catch(() => { // Will trigger another reconnect attempt }); }, delay); } async send(message: any): Promise<void> { if (!this.ws || this.ws.readyState !== WebSocket.OPEN) { throw new Error('Not connected'); } this.ws.send(JSON.stringify(message)); } private handleMessage(message: any) { // Handle incoming MCP messages console.log('Received:', message); } close() { this.options.reconnect = false; this.ws?.close(); } }
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 19,357 | 13,528 | -30% | 1 | 1 | 0% | 4,380 | 4,392 | +0% | 0 | 0 | — |
case-02 | fail→pass | 23,146 | 16,795 | -27% | 1 | 1 | 0% | 5,095 | 5,438 | +7% | 0 | 0 | — |
case-03 | fail→pass | 19,155 | 16,817 | -12% | 1 | 1 | 0% | 4,324 | 5,459 | +26% | 0 | 0 | — |
case-04 | fail→fail | 11,246 | 7,010 | -38% | 1 | 1 | 0% | 2,304 | 3,093 | +34% | 0 | 0 | — |
case-05 | fail→fail | 13,713 | 7,344 | -46% | 1 | 1 | 0% | 2,505 | 3,100 | +24% | 0 | 0 | — |
case-06 | fail→fail | 13,098 | 12,987 | -1% | 1 | 1 | 0% | 2,580 | 4,380 | +70% | 0 | 0 | — |
case-07 | pass→pass | 12,097 | 5,372 | -56% | 1 | 1 | 0% | 1,994 | 2,585 | +30% | 0 | 0 | — |
case-08 | fail→pass | 9,423 | 1,913 | -80% | 1 | 1 | 0% | 1,731 | 1,931 | +12% | 0 | 0 | — |
case-09 | fail→fail | 13,730 | 8,719 | -36% | 1 | 1 | 0% | 2,712 | 3,295 | +21% | 0 | 0 | — |
case-10 | fail→fail | 5,965 | 3,404 | -43% | 1 | 1 | 0% | 911 | 2,216 | +143% | 0 | 0 | — |
case-11 | fail→fail | 9,544 | 1,881 | -80% | 1 | 1 | 0% | 1,696 | 1,863 | +10% | 0 | 0 | — |
case-12 | fail→pass | 13,431 | 3,682 | -73% | 1 | 1 | 0% | 2,319 | 2,329 | +0% | 0 | 0 | — |
case-13 | fail→fail | 7,525 | 3,279 | -56% | 1 | 1 | 0% | 1,280 | 2,206 | +72% | 0 | 0 | — |
case-14 | fail→pass | 8,129 | 3,389 | -58% | 1 | 1 | 0% | 1,488 | 2,091 | +41% | 0 | 0 | — |
case-15 | fail→fail | 3,959 | 3,148 | -20% | 1 | 1 | 0% | 692 | 2,152 | +211% | 0 | 0 | — |
case-16 | fail→fail | 11,974 | 8,071 | -33% | 1 | 1 | 0% | 2,233 | 3,226 | +44% | 0 | 0 | — |
case-17 | fail→pass | 10,465 | 1,672 | -84% | 1 | 1 | 0% | 1,849 | 1,859 | +1% | 0 | 0 | — |
case-18 | fail→pass | 11,299 | 5,122 | -55% | 1 | 1 | 0% | 2,223 | 2,672 | +20% | 0 | 0 | — |
case-19 | fail→fail | 7,076 | 3,097 | -56% | 1 | 1 | 0% | 1,585 | 2,194 | +38% | 0 | 0 | — |
case-20 | fail→fail | 4,734 | 3,347 | -29% | 1 | 1 | 0% | 935 | 2,210 | +136% | 0 | 0 | — |
case-21 | fail→pass | 10,307 | 6,563 | -36% | 1 | 1 | 0% | 2,030 | 3,123 | +54% | 0 | 0 | — |
case-22 | fail→fail | 12,766 | 13,279 | +4% | 1 | 1 | 0% | 2,577 | 3,985 | +55% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +36 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.