GenPark Token Bucket Traffic Shaper

io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 25, 2026

Token bucket traffic shaper with smooth replenishment and burst capacity for LLM tool call throttlin

VerifiedSTDIODesktop onlyDeveloper ToolsAI & ML

Overview

AI-generated overview

A local MCP server that provides a token bucket traffic shaper with smooth replenishment and burst capacity for throttling LLM tool calls.

What you can do
Provide a token bucket rate limiter with smooth replenishment and burst capacity, aimed at throttling LLM tool calls and agent workflows. Run as a local MCP server started with a Python script, or be imported directly as a library from its client module. Ship with example usage demonstrations for integration. Rely only on the Python standard library, with no third-party runtime dependencies.
When to use it
Useful when an assistant or agent pipeline needs to pace or limit the rate of tool calls, for example to avoid bursts against a downstream service, and you want a small local component rather than an external rate-limiting service.
Requirements
Runs as a local process on the user's machine, desktop only, over stdio. Requires a Python runtime to start the server script; no environment variables, headers, or authentication are declared.
Before you install
No credentials, payments, or third-party data sharing are indicated. The manifest lists no tools, so the exact interface is not documented here; review the package before relying on it in production.

Installation

In SourceWeft

  1. Open GenPark Token Bucket Traffic Shaper in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

GenPark Token Bucket Traffic Shaper

[License: MIT] [Python Standard Library] [Model Context Protocol] [GenPark]

Token bucket traffic shaper with smooth replenishment and burst capacity for LLM tool call throttling.

Part of the GenPark AI Agent Skills Ecosystem.

🌟 Key Features

  • 100% Python Standard Library: Zero third-party runtime dependencies.
  • MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
  • Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.

🚀 Installation & Usage

Run as an MCP server:

bash
python mcp_server.py

Use directly as a library:

python
from client import *

See example_usage.py for comprehensive integration demonstrations.

📄 License

MIT License. Maintained by GenPark AI.

Source: README.md at commit 7064b94

Tools

0
SourceWeft started this package once in an isolated sandbox, without credentials, to list its tools. That failed: the package type cannot run in the sandbox.

Version history

1
  1. v1.0.1LatestOct 25, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.