Low Risk

ragflow_retrieval_by_name

Retrieve document chunks by dataset names using the retrieval API. Returns raw chunks with similarity scores.

How to control ragflow_retrieval_by_name ↓

What ragflow_retrieval_by_name does on RAGFlow Claude MCP Server

AI agents call ragflow_retrieval_by_name to retrieve information from RAGFlow Claude MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why ragflow_retrieval_by_name needs a policy

This tool performs a read-only retrieval operation, fetching document chunks with similarity scores from named datasets. No data is created, modified, deleted, or any external operations triggered. It is purely a query/search function.

From the tool's definition Retrieve document chunks by dataset names using the retrieval API. Returns raw chunks with similarity scores.

Documented attack patterns abuse exactly the kind of access ragflow_retrieval_by_name gives an agent:

How to control ragflow_retrieval_by_name

PolicyLayer is an MCP gateway — it sits between your AI agents and RAGFlow Claude MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for ragflow_retrieval_by_name:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ragflow_retrieval_by_name": {}
  }
}

ragflow_retrieval_by_name is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register RAGFlow Claude MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Related tools and policies

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Questions about ragflow_retrieval_by_name

What does the ragflow_retrieval_by_name tool do? +

Retrieve document chunks by dataset names using the retrieval API. Returns raw chunks with similarity scores. It is categorised as a Read tool in the RAGFlow Claude MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ragflow_retrieval_by_name? +

Register the RAGFlow Claude MCP Server MCP server in PolicyLayer and add a rule for ragflow_retrieval_by_name: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches RAGFlow Claude MCP Server. Nothing to install.

What risk level is ragflow_retrieval_by_name? +

ragflow_retrieval_by_name is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit ragflow_retrieval_by_name? +

Yes. Add a rate_limit block to the ragflow_retrieval_by_name rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block ragflow_retrieval_by_name completely? +

Set action: deny in the PolicyLayer policy for ragflow_retrieval_by_name. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides ragflow_retrieval_by_name? +

ragflow_retrieval_by_name is provided by the RAGFlow Claude MCP Server MCP server (norandom/ragflow-claude-desktop-local-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every RAGFlow Claude MCP Server tool call.

Start from RAGFlow Claude MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

8 RAGFlow Claude MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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