MCP Gateway

MCP Gateway

A Bun-based gateway that provides self-describing, discoverable APIs for AI agents, restoring the hypermedia pattern of the web. It allows agents to autonomously explore and understand API surfaces through MCP protocol.

Category
Visit Server

README

MCP Gateway

A Bun-based gateway that brings back the original vision of the web: self-describing, discoverable APIs for AI agents.

Why This Exists

HTTP and HTML were designed as a hypermedia system—clients don't need external documentation because responses contain links describing available actions. REST APIs abandoned this, requiring separate docs for clients to know what endpoints exist.

MCP Gateway restores this pattern for AI agents:

Original Web MCP Gateway
Browser starts at URL Agent connects to /mcp
HTML describes available links Service cards describe available operations
User clicks links to navigate Agent calls tools/listtools/call
No external docs needed No external docs needed

The service card is the modern equivalent of an HTML page with links—a self-describing resource that tells the agent what it can do next.

How It Works

Agent                          Gateway
  │                               │
  ├── tools/list ────────────────►│
  │◄─── [gateway, memory, mesh] ──│
  │                               │
  ├── tools/call memory ──────────►│
  │◄─── "POST /semantic, GET /schema, ..." ──│
  │                               │
  ├── GET /memory/schema ─────────►│  (direct HTTP)
  │◄─── { labels: [...] } ────────│

The agent autonomously explores and understands the API surface, just like a browser exploring a website.

Features

  • Self-Describing APIs: Service discovery via MCP protocol (JSON-RPC 2.0)
  • OpenAPI-Compatible Config: Define services using familiar OpenAPI structure
  • Dynamic Service Loading: Drop TypeScript files in services/ and they're auto-loaded
  • STDIO Transport: Connect Claude Code directly via STDIO wrapper
  • Zero Dependencies: Pure Bun, no external runtime dependencies

Note: The services/ directory contains example implementations (memory, mesh, recall, orchestrator) that demonstrate the gateway pattern. These are works in progress and require external backends (Neo4j, embedding service). The gateway itself is stable—use it with your own services.

Quick Start

# Clone and install
git clone https://github.com/HiddenDeveloper/mcp-gateway
cd mcp-gateway
bun install

# Start the gateway
bun run src/gateway.ts

Visit http://localhost:3000 to see the gateway landing page.

Usage

MCP Discovery

# List available services
curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc": "2.0", "method": "tools/list", "id": 1}'

# Get service details
curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc": "2.0", "method": "tools/call", "params": {"name": "memory_service_card"}, "id": 2}'

Direct HTTP Calls

# Call operations directly
curl http://localhost:3000/memory/schema
curl -X POST http://localhost:3000/memory/semantic -d '{"query": "search term"}'

Claude Code Integration

Add to your Claude Code MCP settings:

{
  "mcpServers": {
    "my-gateway": {
      "command": "bun",
      "args": ["run", "/path/to/mcp-gateway/src/stdio/wrapper.ts"]
    }
  }
}

The gateway must be running before using the wrapper.

Architecture

                    ┌─────────────────────────────┐
                    │     Bun Gateway (:3000)     │
                    │                             │
MCP Client ────────►│  /mcp  → MCP Handler        │
(HTTP transport)    │         (service discovery) │
                    │                             │
Claude Code ───────►│  STDIO Wrapper ─────────────┼──► /mcp
(STDIO transport)   │  (src/stdio/wrapper.ts)     │
                    │                             │
HTTP Client ───────►│  /{service}/{path}          │
                    │         → Router            │
                    │         → Service Loader    │
                    │         → Service Handler   │
                    └─────────────────────────────┘
                                  │
                                  ▼
                    ┌─────────────────────────────┐
                    │     services/               │
                    │     └── memory/             │
                    │         ├── get_schema.ts   │
                    │         ├── semantic_search │
                    │         ├── text_search.ts  │
                    │         └── execute_cypher  │
                    └─────────────────────────────┘

Configuration

Config File

Create config/gateway.json:

{
  "gateway": {
    "info": { "title": "my-gateway", "version": "1.0.0" },
    "service_card": {
      "operationId": "gateway",
      "summary": "Gateway service discovery"
    }
  },
  "services": [{
    "servers": [{ "url": "http://localhost:3000/memory" }],
    "service_card": {
      "operationId": "memory",
      "summary": "Memory service"
    },
    "paths": {
      "/schema": {
        "get": {
          "operationId": "get_schema",
          "summary": "Get database schema"
        }
      }
    }
  }]
}

Environment Variables

Variable Default Description
MCP_CONFIG_PATH ./config/gateway.json Config file path
MCP_PORT 3000 Server port
MCP_SERVICES_DIR ./services Services directory
MCP_GATEWAY_URL http://localhost:3000/mcp Gateway URL (STDIO wrapper)
MCP_DEBUG false Debug logging (STDIO wrapper)

Writing Services

Services are TypeScript files that export a default async function:

// services/memory/semantic_search.ts
import { getNeo4jService } from "./lib/config";

interface Params {
  query: string;
  limit?: number;
  threshold?: number;
}

export default async function(params: Params) {
  const { query, limit = 10, threshold = 0.7 } = params;
  const service = getNeo4jService();

  const results = await service.semanticSearch(query, ["KnowledgeItem"], "embedding_vectors", limit);

  return { matches: results.filter(r => r.score >= threshold) };
}

The gateway:

  1. Loads services from services/{serviceId}/{operationId}.ts
  2. Routes HTTP requests to the matching service
  3. Passes query params, path params, and body as params
  4. Returns the service result as JSON

MCP Protocol

Method Path Description
GET /mcp Server info and capabilities
POST /mcp JSON-RPC 2.0 protocol
GET /health Health check
GET / Landing page

Supported JSON-RPC Methods

  • initialize - Initialize MCP connection
  • tools/list - List available service cards
  • tools/call - Get service details (returns operations)
  • ping - Health check

Development

# Run tests
bun test

# Run specific tests
bun test tests/config.test.ts
bun test tests/mcp.test.ts

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured