{"id":"bartolli-mcp-llm-bridge","name":"mcp-llm-bridge","homepage":null,"repo_url":"https://github.com/bartolli/mcp-llm-bridge","category":"ai-ml","subcategories":[],"tags":["mcp","ai-ml","llm","function-calling","tool-invocation","adapter"],"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).","use_cases":["Enable OpenAI-compatible LLMs to call MCP tools without custom tool glue","Connect MCP tool ecosystems (e.g., resources/prompts/tools) to cloud or local OpenAI-compatible LLM endpoints","Prototype local LLM + MCP tool workflows (e.g., Ollama/local OpenAI-compatible servers)"],"not_for":["A standalone hosted API product (it appears to be a local Python bridge/entrypoint)","Use cases requiring a first-party REST/GraphQL service surface for external consumers","Environments needing strong guarantees about tool execution safety/authorization (not evidenced in the README)"],"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.","alternatives":["Use an MCP-native LLM client that supports MCP directly (if available for your model/runtime)","Write a custom adapter between your OpenAI-compatible client and MCP tools","Use OpenAI function-calling with your own tool wrapper that speaks MCP"],"af_score":44.5,"security_score":45.5,"reliability_score":22.5,"package_type":"mcp_server","discovery_source":["github"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T13:33:18.308378+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":["Python"],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["OpenAI API key via OPENAI_API_KEY","Optional/no auth for local OpenAI-compatible endpoints (api_key='not-needed' in examples)"],"oauth":false,"scopes":false,"notes":"Authentication is delegated to the chosen OpenAI-compatible endpoint. The bridge configuration appears to accept an API key and base_url, but the README does not describe any additional auth/authorization for MCP tool access."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing is described for the bridge itself; cost depends on the underlying LLM provider you point it at."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":44.5,"security_score":45.5,"reliability_score":22.5,"mcp_server_quality":0.0,"documentation_accuracy":55.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":90.0,"rate_limit_clarity":10.0,"tls_enforcement":60.0,"auth_strength":45.0,"scope_granularity":10.0,"dependency_hygiene":55.0,"secret_handling":60.0,"security_notes":"The README shows API key usage via environment variables (.env) but does not document logging redaction, secret handling guarantees, or tool-level authorization controls. Because this is a local bridge that can run/launch an MCP server via stdio command args, there may be significant risk if tool inputs are not controlled; specific mitigations are not evidenced in the provided content.","uptime_documented":0.0,"version_stability":30.0,"breaking_changes_history":30.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_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."]}}