Low Risk

read_code

Retrieve the raw source code of specified files from within a known repository.

How to control read_code ↓

What read_code does on Gread

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

ParameterTypeRequiredDescription
name string Full name of the repository (owner/name)
paths array An array of precise file paths within the repository

Parameters from the server's own tool schema.

Low Risk

Why read_code needs a policy

This tool retrieves or queries source code from public GitHub repositories without side effects. It matches the Read category definition: 'retrieves or queries data; no side effects (search, list, get, fetch).' The act of reading public source code poses minimal risk, as the data is already public and no action is taken upon it.

From the tool's definition Tool name 'read_code' and description states 'Retrieve the raw source code of specified files' — a retrieval operation with no modification, deletion, or execution of the retrieved code.

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

How to control read_code

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

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

read_code 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 Gread — 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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Questions about read_code

What does the read_code tool do? +

Retrieve the raw source code of specified files from within a known repository. It is categorised as a Read tool in the Gread MCP Server, which means it retrieves data without modifying state.

What parameters does read_code accept? +

read_code accepts 2 parameters: name, paths. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on read_code? +

Register the Gread MCP server in PolicyLayer and add a rule for read_code: 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 Gread. Nothing to install.

What risk level is read_code? +

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

Can I rate-limit read_code? +

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

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

read_code is provided by the Gread MCP server (nitrofire-q/gread). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gread tool call.

Start from Gread, 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.

5 Gread tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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