{"id":"pinkpixel-dev-mindbridge-mcp","name":"mindbridge-mcp","homepage":null,"repo_url":"https://github.com/pinkpixel-dev/mindbridge-mcp","category":"ai-ml","subcategories":[],"tags":["mcp","llm","llm-routing","agent-tools","orchestration","typescript","openai-compatible","multi-provider"],"what_it_does":"mindbridge-mcp is a Model Context Protocol (MCP) server/bridge that routes tool calls to multiple LLM providers (e.g., OpenAI, Anthropic, DeepSeek, Google, OpenRouter, Ollama) and exposes MCP tools such as getSecondOpinion plus listing tools like listProviders and listReasoningModels. It also supports an OpenAI-compatible API layer according to the README.","use_cases":["Multi-LLM orchestration for agents and workflow engines","Requesting multiple model responses for comparison (second opinions)","Routing questions to “reasoning” optimized models","Building a single integration surface across heterogeneous LLM providers","Using OpenAI-compatible endpoints as a compatibility layer for other apps/providers"],"not_for":["Production environments that require strong, documented operational controls (authn/authz, rate limits, audit logs) without reviewing the code","Use cases needing guaranteed data residency/compliance commitments","Scenarios where you must strictly avoid proxying/relaying prompts to third-party model providers without explicit review"],"best_when":"You want an MCP tool surface (and optionally OpenAI-compatible compatibility) to unify multiple LLM providers and run multi-model workflows.","avoid_when":"You cannot afford to expose/relay user prompts to multiple upstream provider APIs or you need clear, contract-level guarantees around security controls and reliability/error semantics.","alternatives":["Direct provider SDKs (OpenAI/Anthropic/etc.) with your own routing","OpenAI-compatible gateway/proxy solutions","Other MCP server frameworks and LLM routers (custom or open-source)","Workflow/orchestration platforms that support multi-provider routing"],"af_score":48.2,"security_score":39.0,"reliability_score":25.0,"package_type":"mcp_server","discovery_source":["github"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T15:29:15.727260+00:00","interface":{"has_rest_api":true,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":["TypeScript","JavaScript"],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["Environment variables for provider API keys (OPENAI_API_KEY, ANTHROPIC_API_KEY, etc.)","Optional API key for OpenAI-compatible providers (OPENAI_COMPATIBLE_API_KEY)"],"oauth":false,"scopes":false,"notes":"Authentication appears to be provider-key based configured via env vars or MCP config. The README does not mention per-user auth, scopes, or authorization controls on the MCP server itself."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing information is provided in the README content."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":48.2,"security_score":39.0,"reliability_score":25.0,"mcp_server_quality":55.0,"documentation_accuracy":70.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":80.0,"rate_limit_clarity":10.0,"tls_enforcement":40.0,"auth_strength":35.0,"scope_granularity":10.0,"dependency_hygiene":55.0,"secret_handling":60.0,"security_notes":"The README indicates API keys are provided via environment variables. It does not describe server-side authn/authz, fine-grained scopes, or audit logging for the MCP server. It also does not document TLS requirements or rate-limit controls for the MCP interface. Since it proxies requests to third-party LLM providers, prompts may be sent to upstream services; review configuration and threat model accordingly.","uptime_documented":0.0,"version_stability":40.0,"breaking_changes_history":40.0,"error_recovery":20.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Behavior depends on upstream provider responses/limits; routing failures may surface as provider-specific errors.","Since the project is a proxy/router, misconfiguration of provider keys/model names in env/MCP config can lead to tool failures.","No documented guidance here on retries/timeouts/idempotency for multi-call orchestration tools like getSecondOpinion."]}}