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MCP-Bridge

SecretiveShell/MCP-Bridge

A middleware for an openAI compatible endpoint to call MCP tools

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

45views this month

930 stars119 forksLast push Dec 8, 2025 Python MIT

Decision brief

MCP-Bridge facilitates integration of MCP tools with systems expecting an OpenAI API interface via Python.

Good fit when

  • When needing to interact with MCP tools through an OpenAI-compatible endpoint
  • To enable legacy systems expecting the OpenAI API to work with MCP services

Avoid when

  • If your system can natively support and communicate directly with MCP protocols without API translation
  • For scenarios where OpenAI compatibility is not required, as using MCP-Bridge would introduce unnecessary complexity

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (285d since push)
As of Sep 20, 2026
Provenance
Not a fork · Personal account
As of Sep 20, 2026
Security (OSV)
No MCP manifest
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install MCP-Bridge
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

SecretiveShell/MCP-Bridge is a Python-based middleware project that enables interaction with Model Context Protocol (MCP) tools via an OpenAI-compatible API endpoint.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Sep 20, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Sep 20, 2026

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Sep 20, 2026

Languages
python

Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Tags

README

Installation The recommended way to install MCP Bridge is to use Docker. See the example compose.yml file for an example of how to set up docker. Note that this requires an inference engine with tool call support. I have tested this with vLLM with success, though ollama should al...

For agents

This page has a .md twin and JSON over the API.

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