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MCP-Bridge

ToolsActiveMIT

Overview

MCP-Bridge is a Python middleware that provides an OpenAI-compatible endpoint to call MCP tools.

Capabilities

  • tool calling support
  • stdio transport support
  • network transport options
  • resource handlers
  • tool call interface
  • sampling support

Best For

Python middleware enabling OpenAI-compatible endpoints for MCP tools, supporting Model Context Protocol integration.

Decision Snapshot

Install

available

Usage

available

Docs

3 links

Config

5 strong hints

Capabilities

8 key capabilities detected

  • • GitHub stars: 922
  • • Forks: 114
  • • Source provenance count: 1
  • • Active signal: Updated this week from lifecycle signals.
  • • Last seen: 4/15/2026
  • • Published: 3/15/2026

Installation / Setup

docker-compose up --build -d

Usage

{ && "inference_server": { && "base_url": "http://example.com/v1", && "api_key": "None"

Features

  • SSE Bridge for external clients
  • streaming completions are not implemented yet
  • add the config.json file to the same directory as the compose.yml file and use a volume mount (you will need to add the volume manually)
  • add a http url to the environment variables to download the config.json file from a url
  • add the config json directly as an environment variable
  • ./config.json:/mcp_bridge/config.json

Use Cases

  • Capability coverage: tool calling support; stdio transport support.

Supported Clients / Integrations

  • tool calling support
  • stdio transport support
  • network transport options
  • resource handlers
  • tool call interface
  • sampling support
  • authentication support
  • github integration

Compatibility Signals

  • Claude Desktop: mentions (Mentioned in approved metadata/docs evidence.)
  • GitHub: supports (Detected in parser config/capability hints.)

Prompt Examples

example

{ && "inference_server": { && "base_url": "http://example.com/v1", && "api_key": "None"

Notes / Requirements

  • Primary language: Python
  • License: MIT
  • Documentation coverage: high
  • Parser coverage score: 1.00
  • Source provenance includes GitHub discovery
  • Source feeds: GitHub Search API
  • Topic cluster: general

Official Links

Source Information

Community: 922 stars
Last Updated: Apr 15, 2026
PythonMIT

You can verify all information on this page against the source repository above.

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What To Do Next

Continue from this tool into a workflow and a learn guide to shorten implementation time.