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GenPark Token Bucket Traffic Shaper

GenPark Token Bucket Traffic Shaper

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genpark.aiAI & Agents7Updated 4d ago

About GenPark Token Bucket Traffic Shaper

GenPark Token Bucket Traffic Shaper is a Python MCP server and library for throttling LLM tool calls with smoothly replenished token buckets and burst capacity. It is intended for agent workflows that need request rate control.

Key features

  1. 01Token bucket rate limiting
  2. 02Smooth token replenishment
  3. 03Burst capacity
  4. 04Python standard library only

Use cases

  1. 01Throttle LLM tool calls
  2. 02Allow bursts while limiting request rates

MCP support

It runs as an MCP server, exposing traffic-shaping capabilities to MCP clients. The README also describes direct use as a Python library.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
mcpbgenpark-token-bucket-traffic-shaper-skill-v1.0.1.mcpb

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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:

python mcp_server.py

Use directly as a library:

from client import *

See example_usage.py for comprehensive integration demonstrations.

📄 License

MIT License. Maintained by GenPark AI.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.