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GenPark Sliding Log Rate Limiter

GenPark Sliding Log Rate Limiter

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genpark.aiDeveloper Tools7Updated 4d ago

About GenPark Sliding Log Rate Limiter

GenPark Sliding Log Rate Limiter is a microsecond-precision sliding-window log rate limiter for controlling LLM calls and avoiding boundary bursts. It uses only the Python standard library and can run as an MCP server or library.

Key features

  1. 01Sliding-window log rate limiting
  2. 02Microsecond precision
  3. 03Prevention of boundary bursts
  4. 04Python standard library only

Use cases

  1. 01Controlling the rate of LLM calls
  2. 02Avoiding bursts at window boundaries

MCP support

It runs as a native MCP server and makes its rate-limiting capability available to MCP clients. The README also describes integration with Claude Desktop, Cursor, LobeChat, and agent DAGs.

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-sliding-log-rate-limiter-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 Sliding Log Rate Limiter

License: MIT Python Standard Library Model Context Protocol GenPark

Microsecond-precision sliding window log rate limiter preventing boundary burst exploitation across LLM calls.

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.