Low Risk

batch_extract_from_repository

batch_extract_from_repository

How to control batch_extract_from_repository ↓

What batch_extract_from_repository does on Code Graph Knowledge System

AI agents call batch_extract_from_repository to retrieve information from Code Graph Knowledge System without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why batch_extract_from_repository needs a policy

The tool appears to extract code or documentation in batch from a repository and feed it into the Neo4j knowledge graph system. This is a read operation (retrieval/query).

From the tool's definition Tool name 'batch_extract_from_repository' suggests batch retrieval of code/data from a repository. The server context describes 'queryable knowledge graph' and 'code analysis' capabilities.

Risk signalsBulk/mass operation — affects multiple targets

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

How to control batch_extract_from_repository

PolicyLayer is an MCP gateway — it sits between your AI agents and Code Graph Knowledge System, and nothing reaches the server without passing your rules. This is the rule we recommend for batch_extract_from_repository:

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

batch_extract_from_repository 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 Code Graph Knowledge System — 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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Related tools and policies

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Questions about batch_extract_from_repository

What does the batch_extract_from_repository tool do? +

batch_extract_from_repository. It is categorised as a Read tool in the Code Graph Knowledge System MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on batch_extract_from_repository? +

Register the Code Graph Knowledge System MCP server in PolicyLayer and add a rule for batch_extract_from_repository: 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 Code Graph Knowledge System. Nothing to install.

What risk level is batch_extract_from_repository? +

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

Can I rate-limit batch_extract_from_repository? +

Yes. Add a rate_limit block to the batch_extract_from_repository 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 batch_extract_from_repository completely? +

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

batch_extract_from_repository is provided by the Code Graph Knowledge System MCP server (royisme/codebase-rag). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Code Graph Knowledge System tool call.

Start from Code Graph Knowledge System, 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.

30 Code Graph Knowledge System tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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