{"id":"ragflow-retrieval-mcp-server","name":"ragflow-retrieval-mcp-server","homepage":"https://pypi.org/project/ragflow-retrieval-mcp-server/","repo_url":null,"category":"ai-ml","subcategories":[],"tags":["mcp","rag","retrieval","ai-agents"],"what_it_does":"ragflow-retrieval-mcp-server is an MCP (Model Context Protocol) server intended to provide retrieval capabilities (e.g., querying a RAG/knowledge base) to AI agents via MCP tools.","use_cases":["Agent-driven question answering over a RAG corpus","Retrieval-augmented generation workflows where tools fetch relevant passages/documents","Connecting an agent runtime to a RAG system through a standardized MCP interface"],"not_for":["Direct end-user web/API consumption without an MCP-capable agent host","General-purpose vector database management or ingestion pipelines (unless explicitly supported by the server tools)","Production use where retrieval correctness, authorization, and error semantics must be formally guaranteed without reviewing implementation"],"best_when":"You have (or can access) a RAG/knowledge retrieval backend and want agents to call retrieval via MCP tool calls with minimal integration friction.","avoid_when":"You need a fully documented REST/SDK interface, strict multi-tenant authorization controls, or clearly specified rate limiting/error/retry semantics that are not visible from the provided materials.","alternatives":["Direct REST API integration with the underlying retrieval/RAG backend (if available)","A dedicated vector DB or search engine API (e.g., Elasticsearch/OpenSearch, Meilisearch, or a vector DB) wrapped as an agent tool","RAG-focused frameworks/tools that expose explicit agent tool interfaces (non-MCP) with OpenAPI specs"],"af_score":37.5,"security_score":35.5,"reliability_score":27.5,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:46:23.665386+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"Auth mechanism(s) are not provided in the supplied information. MCP servers often rely on environment variables and/or upstream backend credentials; verify in the repo/docs."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing/hosting model information was provided."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":37.5,"security_score":35.5,"reliability_score":27.5,"mcp_server_quality":40.0,"documentation_accuracy":40.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":50.0,"rate_limit_clarity":20.0,"tls_enforcement":50.0,"auth_strength":30.0,"scope_granularity":20.0,"dependency_hygiene":40.0,"secret_handling":40.0,"security_notes":"Specific security posture (TLS requirements, auth method, and secret handling practices) was not provided. For an MCP retrieval tool, ensure upstream auth, least-privilege access, and that query parameters are not logged unsafely.","uptime_documented":0.0,"version_stability":40.0,"breaking_changes_history":40.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"unknown","retry_guidance_documented":false,"known_agent_gotchas":["Tool contracts (inputs/outputs) may be underspecified—agents can mis-handle required parameters.","Retrieval endpoints may not be idempotent if tool calls trigger side effects (e.g., logging/query history); verify behavior.","Pagination/limit semantics for retrieved documents may require explicit agent-side handling."]}}