remote · Python MCP: Risk & Policy

WHAT IT DOES

What remote does on Python

AI agents use remote to create or update resources in Python — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Python environment.

WHY IT NEEDS A POLICY

Why remote needs a policy

The tool manages remote repositories with actions including add, remove, rename, set-url, and prune — all of which modify repository configuration. While 'list' and 'show' are read-only, the most severe applicable category is Write (modifications are reversible, e.g., re-adding a remote). 'Prune' removes stale remote-tracking references but is not truly irreversible data destruction.

From the tool's definition Supports list (default), add, remove, rename, set-url, prune, and show actions

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

remote Rate-limited

remote stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "remote": {
      "limits": [
        {
          "counter": "remote_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Python, so you can run agents against it safely.

FAQ

Questions about remote

What does the remote tool do? +

Manages remote repositories. Supports list (default), add, remove, rename, set-url, prune, and show actions. Returns structured remote data. It is categorised as a Write tool in the Python MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on remote? +

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

What risk level is remote? +

remote is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit remote? +

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

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

remote is provided by the Python MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

remote is one line of Python's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →