
GenPark Sliding Log Rate Limiter
io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 25, 2026
Microsecond-precision sliding window log rate limiter preventing boundary burst exploitation
Overview
A local MCP server providing a microsecond-precision sliding window log rate limiter to prevent boundary burst exploitation across LLM calls.
- What you can do
- Provides a sliding window log rate limiting capability with microsecond precision, intended to prevent boundary burst exploitation across LLM calls. It is described as MCP native, plugging into Claude Desktop, Cursor, LobeChat and autonomous agent DAGs. It can also be used directly as a Python library, with example usage demonstrations included. No individual tools are listed in the manifest.
- When to use it
- Worth considering when you need to throttle or smooth LLM calls and want to avoid bursts slipping through at window boundaries, either inside an MCP-connected assistant or as a Python library in your own agent code.
- Requirements
- Runs as a local process on the user's machine (desktop only, not web executable), distributed as an mcpb package and started with Python. It uses only the Python standard library, so no third-party runtime dependencies are needed. No authentication, environment variables or headers are declared.
Installation
In SourceWeft
- Open GenPark Sliding Log Rate Limiter in the dashboard and add it to a workspace.
- 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 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:
Use directly as a library:
See example_usage.py for comprehensive integration demonstrations.
📄 License
MIT License. Maintained by GenPark AI.
Source: README.md at commit 6f708e5
Tools
0Version history
1- v1.0.1LatestOct 25, 2026
Score
40% of the applicable checks met
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- Reached in the last 30 days25 pts
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- Tools listed15 pts
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- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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