ragflow-retrieval-mcp-server

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.

Evaluated Apr 04, 2026 (27d ago)

Homepage ↗ Ai Ml mcp rag retrieval ai-agents

⚙ Agent Friendliness

/ 100

Can an agent use this?

🔒 Security

/ 100

Is it safe for agents?

⚡ Reliability

/ 100

Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality

Documentation

Error Messages

Auth Simplicity

Rate Limits

🔒 Security

TLS Enforcement

Auth Strength

Scope Granularity

Dep. Hygiene

Secret Handling

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.

⚡ Reliability

Uptime/SLA

Version Stability

Breaking Changes

Error Recovery

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.

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

Interface

REST API

GraphQL

gRPC

MCP Server

Yes

SDK

Webhooks

Authentication

OAuth: No Scopes: No

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

Free tier: No

Requires CC: No

No pricing/hosting model information was provided.

Agent Metadata

Pagination

unknown

Idempotent

False

Retry Guidance

Not documented

Known 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.

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

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Scores are editorial opinions as of 2026-04-04.