get_pull_request · Claude TypeScript MCP Servers MCP

WHAT IT DOES

What get_pull_request does on Claude TypeScript MCP Servers

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

THE RISK

Low Risk

Why get_pull_request needs a policy

This tool queries and retrieves pull request metadata and information. It does not modify, execute, delete, or create anything; it only reads and returns data. This is a straightforward Read classification with low severity, as the worst case is information disclosure of publicly accessible Git repository data.

From the tool's definition Tool name is 'get_pull_request' and description states it 'Get details of a specific pull request' — a retrieval operation with no side effects.

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

POLICY

How to control get_pull_request

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

policy.json

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

get_pull_request 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 Claude TypeScript MCP Servers — 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 →

Free to start. No card required.

EXPLORE

Related tools and policies

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All 84 Claude TypeScript MCP Servers tools →

Read tools on other servers

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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 get_pull_request

What does the get_pull_request tool do? +

Get details of a specific pull request. It is categorised as a Read tool in the Claude TypeScript MCP Servers MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_pull_request? +

Register the Claude TypeScript MCP Servers MCP server in PolicyLayer and add a rule for get_pull_request: 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 Claude TypeScript MCP Servers. Nothing to install.

What risk level is get_pull_request? +

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

Can I rate-limit get_pull_request? +

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

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

get_pull_request is provided by the Claude TypeScript MCP Servers MCP server (ukkz/claude-ts-mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Claude TypeScript MCP Servers tool call.

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

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84 Claude TypeScript MCP Servers tools catalogued and risk-classified — across an index of 43,000+ MCP servers.