{"id":"ragflow-mcp-server-aider","name":"ragflow-mcp-server-aider","homepage":"https://pypi.org/project/ragflow-mcp-server-aider/","repo_url":null,"category":"ai-ml","subcategories":[],"tags":["ai-ml","mcp","rag","ragflow","agents","tooling","retrieval"],"what_it_does":"ragflow-mcp-server-aider is an MCP server wrapper for RAGFlow, intended to expose RAGFlow capabilities (e.g., retrieval/knowledge-base style operations) to an MCP-capable agent such as Aider. The name suggests it is specifically packaged for agent workflows rather than a public REST API product.","use_cases":["Use an agent (Aider via MCP) to interact with a RAGFlow instance for retrieval/knowledge queries","Prototype agent-driven RAG workflows using an MCP tool interface","Automate RAGFlow-related actions from within an AI coding/chat agent"],"not_for":["Production systems that require a well-specified, versioned REST/GraphQL API contract instead of MCP","Environments needing strict compliance evidence, documented security posture, or formal SLAs (not evidenced here)","Scenarios requiring documented idempotency guarantees for write operations (not evidenced here)"],"best_when":null,"avoid_when":null,"alternatives":["Use RAGFlow directly via its native interfaces (if available in your deployment)","If you need an API: wrap RAGFlow with your own REST/GraphQL layer and OpenAPI contracts","Use another MCP server (or create one) that is backed by well-documented tool schemas and error models"],"af_score":39.0,"security_score":44.5,"reliability_score":7.5,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:46:28.258214+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":"No authentication mechanism details were provided in the prompt content. MCP servers commonly rely on environment variables/API keys to access the underlying service, but this could not be verified from the given data."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":null},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":39.0,"security_score":44.5,"reliability_score":7.5,"mcp_server_quality":45.0,"documentation_accuracy":30.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":60.0,"rate_limit_clarity":20.0,"tls_enforcement":50.0,"auth_strength":50.0,"scope_granularity":40.0,"dependency_hygiene":40.0,"secret_handling":40.0,"security_notes":"Security posture cannot be confirmed from the provided data. For an MCP wrapper, typical risks include leaking upstream service credentials via logs, insufficient request validation on tool inputs, and unclear authorization boundaries between agent operations and RAGFlow resources.","uptime_documented":0.0,"version_stability":0.0,"breaking_changes_history":0.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["MCP tool schemas and parameter constraints must be correct; if undocumented, agents may send invalid arguments repeatedly.","If the server lacks structured error mapping to MCP, agents may not know when to retry vs. fail.","If RAGFlow actions include writes (e.g., ingest/config), lack of idempotency can cause duplicated work on retries."]}}