MCP-Bridge

Middleware that bridges the OpenAI API with MCP tools, allowing developers to expose MCP tool capabilities through an OpenAI-compatible API endpoint. Supports streaming and non-streaming chat completions with MCP tool calls, SSE bridge for external clients, REST API endpoints for MCP primitives, and optional API key authentication.

Evaluated Mar 06, 2026 (0d ago) v0.5.1
Homepage ↗ Repo ↗ AI & Machine Learning openai-api middleware bridge fastapi mcp-tools llm-integration sse streaming vllm ollama
⚙ Agent Friendliness
59
/ 100
Can an agent use this?
🔒 Security
66
/ 100
Is it safe for agents?
⚡ Reliability
59
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
60
Documentation
60
Error Messages
50
Auth Simplicity
70
Rate Limits
50

🔒 Security

TLS Enforcement
80
Auth Strength
70
Scope Granularity
55
Dep. Hygiene
65
Secret Handling
60

Community/specialized tool. Apply standard security practices for category. Review documentation for specific security requirements.

⚡ Reliability

Uptime/SLA
65
Version Stability
60
Breaking Changes
55
Error Recovery
55
AF Security Reliability

Best When

You have existing OpenAI API workflows and want to add MCP tool support without rewriting your client code, or you need to bridge local LLM inference engines to MCP servers.

Avoid When

You already have native MCP client support in your application, or you need a production-hardened API gateway with monitoring and rate limiting.

Use Cases

  • • Expose MCP tools through an OpenAI-compatible API for existing OpenAI SDK users
  • • Connect local inference engines (vLLM, Ollama) to MCP tool ecosystems
  • • Build middleware that translates between OpenAI function calling and MCP tools
  • • Provide SSE bridge for external MCP clients
  • • Add API key authentication layer in front of MCP servers

Not For

  • • Direct MCP server implementation for specific services
  • • Production-grade API gateway (no rate limiting, monitoring)
  • • Non-OpenAI-compatible LLM APIs without adaptation

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
Yes ↗
SDK
No
Webhooks
No

Authentication

Methods: api_key
OAuth: No Scopes: No

Optional API key authentication via Bearer token in Authorization header. Disabled by default.

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

MIT licensed. Self-hosted. Inference costs depend on chosen backend (vLLM, Ollama, etc.).

Agent Metadata

Pagination
unknown
Idempotent
Unknown
Retry Guidance
Not documented

Known Gotchas

  • ⚠ Requires a separate inference engine with tool-call support (vLLM or Ollama)
  • ⚠ Tool call behavior depends on the inference engine's function calling capabilities
  • ⚠ SSE bridge adds latency compared to direct MCP connections
  • ⚠ Configuration via JSON file rather than environment variables for MCP server definitions

Alternatives

langchain-mcp-adapters mcp-client-for-ollama

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for MCP-Bridge.

$99
API endpoint ↗ Agent guide ↗ Report inaccuracy

Scores are editorial opinions as of 2026-03-06.

5178
Packages Evaluated
26151
Need Evaluation
173
Need Re-evaluation
♥
Community Powered