OpenRouter MCP Bridge

OpenRouter MCP Bridge

A lightweight MCP server that enables AI coding assistants to interact with OpenRouter API for direct queries, file analysis, and batch processing.

Category
Visit Server

README

OpenRouter MCP Bridge

PyPI version OpenRouter API

A lightweight MCP (Model Context Protocol) server that enables AI coding assistants to interact with OpenRouter API. Works with Claude Code, Cursor, VS Code, and other MCP-compatible clients.

✨ Features

  • Direct OpenRouter API Integration: Async HTTP calls using httpx
  • Simple MCP Tools: Three core functions for queries, file analysis, and batch processing
  • Stateless Operation: No sessions, caching, or complex state management
  • Production Ready: Robust error handling with configurable timeouts (default: 90 seconds)
  • Minimal Dependencies: httpx, python-dotenv, and mcp>=1.0.0
  • Async/Await: Full async support for concurrent operations
  • Model Flexibility: Support any OpenRouter-compatible model

🚀 Quick Start

Prerequisites

  1. Get OpenRouter API Key:

    # Visit https://openrouter.ai/keys
    # Sign up and get your API key
    
  2. Set Environment Variable:

    export OPENROUTER_API_KEY="your-api-key-here"
    

Installation

From PyPI:

pip install openrouter-mcp-bridge

Using uvx (recommended for MCP servers):

uvx openrouter-mcp-bridge

Local Development:

# Clone the repository
git clone https://github.com/htooayelwinict/open-bridge.git
cd open-bridge

# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate

# Install in development mode
pip install -e .

# Run directly
python -m src

⚙️ Configuration

Environment Variables

Variable Required Default Description
OPENROUTER_API_KEY ✅ Yes - Your OpenRouter API key
OPENROUTER_MODEL No openai/gpt-4o Model to use
OPENROUTER_TIMEOUT No 90 Request timeout (seconds)

Claude Code Configuration

# Add to Claude Code with uvx (recommended)
claude mcp add openrouter-mcp-bridge -s user \
  --env OPENROUTER_API_KEY=sk-or-... \
  --env OPENROUTER_MODEL=anthropic/claude-3.5-sonnet \
  -- uvx openrouter-mcp-bridge

Or add to ~/.claude.json:

{
  "mcpServers": {
    "openrouter-mcp-bridge": {
      "type": "stdio",
      "command": "uvx",
      "args": ["openrouter-mcp-bridge"],
      "env": {
        "OPENROUTER_API_KEY": "sk-or-...",
        "OPENROUTER_MODEL": "anthropic/claude-3.5-sonnet"
      }
    }
  }
}

🛠️ Available Tools

Tool Description
consult_openrouter Direct API query with structured output
consult_openrouter_with_stdin Pipe file content for analysis
consult_openrouter_batch Multiple concurrent queries

📋 Usage Examples

# Basic query
consult_openrouter(
    query="What authentication patterns are used in this project?",
    directory="/path/to/project",
    format="json"
)

# File analysis
consult_openrouter_with_stdin(
    stdin_content=open("src/auth.py").read(),
    prompt="Review this file for security issues",
    directory="/path/to/project"
)

# Batch processing
consult_openrouter_batch(
    queries=[
        {"query": "Analyze authentication patterns"},
        {"query": "Review database implementations"}
    ],
    directory="/path/to/project"
)

🏗️ Architecture

  • API-First: Direct async HTTP calls to OpenRouter API
  • Stateless: Each tool call is independent with no session state
  • Async/Await: Full async support for concurrent operations
  • Error Handling: Comprehensive HTTP and timeout error handling

📄 License

MIT License - see LICENSE file for details.

🙏 Credits

Originally forked from shelakh/codex-bridge.


Focus: A simple, reliable bridge between Claude Code and OpenRouter API.

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