{"id":"ragflow-mcp-server","name":"ragflow-mcp-server","homepage":"https://pypi.org/project/ragflow-mcp-server/","repo_url":null,"category":"ai-ml","subcategories":[],"tags":["ai-agents","mcp","rag","ragflow","tooling","retrieval"],"what_it_does":"An MCP server package that exposes RagFlow-related capabilities to MCP-compatible AI agents, allowing agents to query or interact with RAG/RagFlow functionality via the MCP protocol.","use_cases":["Agent-assisted retrieval and question answering over RagFlow-managed knowledge","Tool-based ingestion or retrieval workflows orchestrated by an LLM agent via MCP","Rapid prototyping of RagFlow-connected agent workflows without direct custom integration"],"not_for":["Production deployments that require a fully specified REST/SDK interface with strong contractual guarantees (unless verified in repo docs)","Environments needing strict, documented enterprise auth/scopes for every operation (not evidenced here)"],"best_when":"You want an agent-first integration into RagFlow/RAG systems using MCP tooling.","avoid_when":"You cannot verify the MCP tool surface, error semantics, authentication model, and rate limiting behavior from the package documentation/source.","alternatives":["RagFlow native APIs (if available)","A custom REST client integration to RagFlow endpoints","Other RAG-focused MCP servers or framework-specific connectors with better documented auth/rate-limit semantics"],"af_score":38.8,"security_score":43.5,"reliability_score":27.5,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:46:30.744827+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":["unknown (not provided in prompt)"],"oauth":false,"scopes":false,"notes":"The authentication mechanism is not described in the provided information, so auth strength and scope granularity cannot be validated."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing details provided; assumes self-hosted/open-source context unless repo metadata indicates otherwise."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":38.8,"security_score":43.5,"reliability_score":27.5,"mcp_server_quality":55.0,"documentation_accuracy":40.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":40.0,"rate_limit_clarity":20.0,"tls_enforcement":60.0,"auth_strength":40.0,"scope_granularity":20.0,"dependency_hygiene":50.0,"secret_handling":50.0,"security_notes":"TLS enforcement/auth/scopes/secret handling are not evidenced in the provided prompt. Defaulted to moderate assumptions; verify in repository configuration, transport settings, and logging behavior.","uptime_documented":0.0,"version_stability":50.0,"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":["Without verified docs, agent error handling/retry/idempotency behavior may be inconsistent across MCP tools.","Agents may not know which tools are safe for retries if idempotency is not documented."]}}