ragflow_get_chunks

THE RISK

Low Risk

Why ragflow_get_chunks needs a policy

This tool retrieves document chunks (likely segments of text with citation metadata) from a knowledge base. It has no side effects, does not modify or delete data, and does not execute code or trigger external operations. It is a straightforward data retrieval operation consistent with the Read category, with minimal risk if misused by an AI agent.

From the tool's definition Tool name 'ragflow_get_chunks' and description 'Get chunks with references from a specific document' indicate data retrieval operation. The verb 'Get' and absence of any modification, deletion, or execution language confirm this is a read-only query.

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

POLICY

How to control ragflow_get_chunks

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_get_chunks:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ragflow_get_chunks": {}
  }
}

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

Create a free account and register RAGFlow Claude MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

Related tools and policies

More RAGFlow Claude MCP Server tools

Destructive ragflow_reset_session Reset/clear the chat session for a specific dataset Read ragflow_list_datasets List all available datasets/knowledge bases in RAGFlow Read ragflow_list_documents List documents in a specific dataset Read ragflow_list_documents_by_name List documents in a dataset by dataset name Read ragflow_list_sessions List active chat sessions for all datasets Read ragflow_retrieval Retrieve document chunks directly from RAGFlow datasets using the retrieval API. Returns r Read ragflow_retrieval_by_name Retrieve document chunks by dataset names using the retrieval API. Returns raw chunks with

All 8 RAGFlow Claude MCP Server tools →

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about ragflow_get_chunks

What does the ragflow_get_chunks tool do? +

Get chunks with references from a specific document. 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_get_chunks? +

Register the RAGFlow Claude MCP Server MCP server in PolicyLayer and add a rule for ragflow_get_chunks: 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_get_chunks? +

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

Can I rate-limit ragflow_get_chunks? +

Yes. Add a rate_limit block to the ragflow_get_chunks 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_get_chunks completely? +

Set action: deny in the PolicyLayer policy for ragflow_get_chunks. 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_get_chunks? +

ragflow_get_chunks 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.

CHECK YOUR STACK →