{"id":"bartolli-mcp-llm-bridge","name":"mcp-llm-bridge","af_score":44.5,"security_score":45.5,"reliability_score":22.5,"what_it_does":"Provides a bridge between MCP (Model Context Protocol) servers and OpenAI-compatible LLM APIs by translating MCP tool specifications into OpenAI function-calling schemas and mapping tool invocations back to MCP tool executions. Primarily targets OpenAI API usage, with support for other OpenAI-compatible endpoints (e.g., local servers).","best_when":"You want to reuse MCP-compliant tools with any OpenAI-compatible chat/function-calling client (cloud or local) and are comfortable running the bridge locally.","avoid_when":"You require formal API contracts (OpenAPI) and robust production-grade operational/SLA guarantees from the bridge itself (not evidenced), or you need fine-grained authorization controls around which MCP tools the model may invoke.","last_evaluated":"2026-03-30T13:33:18.308378+00:00","has_mcp":false,"has_api":false,"auth_methods":["OpenAI API key via OPENAI_API_KEY","Optional/no auth for local OpenAI-compatible endpoints (api_key='not-needed' in examples)"],"has_free_tier":false,"known_gotchas":["Tool execution safety/authorization is not described; agents could trigger unintended MCP tool actions if not guarded by the MCP server/tool layer.","When using stdio-based MCP server parameters, subprocess/stdio wiring issues may occur and may require debugging beyond the README.","For local OpenAI-compatible endpoints, base_url/endpoint compatibility varies by server implementation."],"error_quality":0.0}