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MCP-Connect

Enables cloud-based AI services to access local Stdio based MCP servers via HTTP requests

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Scored 19 hours ago · breakdown

About MCP-Connect

MCP-Connect is an MCP server published by EvalsOne in the Developer Tools category: enables cloud-based AI services to access local Stdio based MCP servers via HTTP requests.

The repository has 240 stars and 35 forks, with the last commit 19 hours ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

Claude Code
claude mcp add connect -- npx -y @gatewaze/connect
npx
npx -y @gatewaze/connect

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 2 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

MCP Connect

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Node.js Version TypeScript

Lightweight bridge that exposes local MCP servers as HTTP APIs


What Is MCP Connect?

MCP Connect is an HTTP gateway that lets you call local MCP servers (that speak stdio) through Streamable HTTP or a classic request/response bridge.

What's New

  • Added Streamable HTTP mode on top of the classic request/response bridge
  • New quick-deploy scripts and configs under deploy/e2b for launching in an E2B sandbox

How It Works

+-----------------+   HTTP (JSON)               +------------------+      stdio      +------------------+
|                 |   /bridge                   |                  |                 |                  |
|  Cloud AI tools | <------------------------>  |  Node.js Bridge  | <------------>  |    MCP Server    |
|   (Remote)      |                             |    (Local)       |                 |     (Local)      |
|                 |   HTTP (SSE stream)         |                  |                 |                  |
|                 |   /mcp/:serverId            |                  |                 |                  |
+-----------------+         Tunnels (optional)  +------------------+                 +------------------+

Key Features

Feature Description
🚀 Dual modes Call local stdio MCP servers via Streamable HTTP or the classic HTTP bridge
🔄 Session management Maintain conversational continuity with sessions
🔐 Security Bearer token auth + CORS allowlist
🌐 Public access Built-in Ngrok tunnel to expose endpoints externally
☁️ Cloud deploy One-click deploy to E2B cloud sandbox

Quick Start

Prerequisites

  • Node.js >= 22.0.0 (recommended)
  • npm or yarn

1) Install

git clone https://github.com/EvalsOne/MCP-connect.git
cd mcp-connect
npm install

2) Preparations

A. Set up initial environment variables

cp .env.example .env

Set ACCESS_TOKEN in .env before starting the server. Startup fails if it is empty.

B. Configure MCP servers

For Streamable HTTP method, each MCP server needs to be configurated separately, edit file to add more configurations other than the existing sample servers.

vim mcp-servers.json  

3) Run

# Build and start
npm run build
npm start

# Or use dev mode (hot reload)
npm run dev

# Enable Ngrok tunnel
npm run start:tunnel

After you see the startup banner, visit http://localhost:3000/health to check server status.


Usage

Mode 1: Streamable HTTP bridge

General-purpose and compatible with any MCP client that supports Streamable HTTP.

In Streamable HTTP mode, each MCP server is assigned a unique route. Example: add the fetch MCP server in mcp-servers.json.

{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"],
      "description": "HTTP/HTTPS content fetcher"
    }
  }
}

Once started, access the fetch MCP server with your favorite MCP client (e.g. Claude Code, Cursor, Codex, GitHub Copilot...)

http://localhost:3000/mcp/fetch

Note: You must configure mcp-servers.json before starting the service, otherwise the server won't be available.


Mode 2: Classic request/response bridge

Non-standard invocation where you implement methods like tools/list, tools/call, etc.

Include Authorization: Bearer <token> in every request header. ACCESS_TOKEN is required at startup.

Example 1: List available tools

curl -X POST http://localhost:3000/bridge \
  -H "Authorization: Bearer your-secret-token-here" \
  -H "Content-Type: application/json" \
  -d '{
    "serverPath": "uvx",
    "args": ["mcp-server-fetch"],
    "method": "tools/list",
    "params": {}
  }'

Example 2: Call a tool

curl -X POST http://localhost:3000/bridge \
  -H "Authorization: Bearer your-secret-token-here" \
  -H "Content-Type: application/json" \
  -d '{
    "serverPath": "uvx",
    "args": ["mcp-server-fetch"],
    "method": "tools/call",
    "params": {
      "name": "fetch",
      "arguments": {
        "url": "https://example.com"
      }
    }
  }'

Security

Authentication

MCP Connect requires a token-based authentication system. Set ACCESS_TOKEN in .env before startup. If it is empty, the server exits with a configuration error.

Authorization: Bearer <your_auth_token>

Allowed Origins

In production, set ALLOWED_ORIGINS to restrict cross-origin requests:

ALLOWED_ORIGINS=https://yourdomain.com,https://app.yourdomain.com

If ALLOWED_ORIGINS is set, non-matching origins are rejected.


API Reference

GET /health

Health check endpoint (no auth required)

Response:

{"status": "ok"}

POST /mcp/:serverId

Streaming HTTP mode

Path params:

  • serverId: server ID defined in MCP_SERVERS

Headers:

  • Authorization: Bearer <token> (required)
  • Accept: application/json, text/event-stream (required)
  • mcp-session-id: <session-id> (optional, reuse existing session)

Body:

[
  {"jsonrpc":"2.0","id":"1","method":"tools/list","params":{}},
  {"jsonrpc":"2.0","method":"notifications/initialized"}
]

POST /bridge

Original request/response bridge mode

Headers:

  • Authorization: Bearer <token> (required)
  • Content-Type: application/json

Body:

{
  "serverPath": "Executable command or URL (http/https/ws/wss)",
  "method": "JSON-RPC method name",
  "params": {},
  "args": ["optional command-line args"],
  "env": {"OPTIONAL_ENV_VAR": "value"}
}

Supported methods:

  • tools/list, tools/call
  • prompts/list, prompts/get
  • resources/list, resources/read
  • resources/subscribe, resources/unsubscribe
  • completion/complete
  • logging/setLevel

Expose Publicly via Ngrok

  1. Get a token: https://dashboard.ngrok.com/get-started/your-authtoken

  2. Add to .env:

    NGROK_AUTH_TOKEN=your-token-here
    
  3. Start the service:

    npm run start:tunnel
    
  4. The console will show public URLs:

    Tunnel URL: https://abc123.ngrok.io
    MCP Bridge URL: https://abc123.ngrok.io/bridge
    

Quick Deploy to E2B Sandbox

E2B provides isolated cloud sandboxes, ideal for running untrusted MCP servers safely.

Step 1: Prepare E2B environment

# Sign up at https://e2b.dev and get an API key
pip install e2b
export E2B_API_KEY=your-e2b-api-key

Optionally set a bearer token for the bridge (preferred env for E2B deployments):

export E2B_MCP_AUTH_TOKEN=your-secure-token

Step 2: Build sandbox templates

cd deploy/e2b
python build.py

Step 3: Launch from template

python sandbox_deploy.py --template-id mcp-dev-gui

See:E2B deployment guide for details.


Logging & Monitoring

Log files

  • combined.log: all levels
  • error.log: error level only

Levels

Control verbosity via LOG_LEVEL:

LOG_LEVEL=DEBUG  # development
LOG_LEVEL=INFO   # production (default)
LOG_LEVEL=WARN   # warnings + errors

Development

Project layout

src/
├── server/
│   └── http-server.ts      # HTTP server and routes
├── client/
│   └── mcp-client-manager.ts  # MCP client manager
├── stream/
│   ├── session-manager.ts   # session lifecycle
│   └── stream-session.ts    # SSE session implementation
├── config/
│   └── config.ts            # config loading & validation
├── utils/
│   ├── logger.ts            # Winston logger
│   └── tunnel.ts            # Ngrok tunnel management
└── index.ts                 # entry point

Contributing

Issues and PRs are welcome!


If this project helps you, please ⭐️ Star it!

README fetched from the repository 2 hours ago. The original is authoritative.

Questions

About MCP-Connect

How do I install MCP-Connect?

Run claude mcp add connect -- npx -y @gatewaze/connect, then add the server to your MCP client's configuration.

Is MCP-Connect safe to use with an AI agent?

Its trust score is 71 out of 100 (good). It passes 4 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is MCP-Connect still maintained?

Yes — the last commit was 19 hours ago. The repository has 240 stars and 35 forks and 1 open issues.