GenPark Adaptive Batch Request Debouncer
LocalAbout GenPark Adaptive Batch Request Debouncer
GenPark Adaptive Batch Request Debouncer is a Python component for coalescing requests with an adaptive sliding window. It is intended for LLM and tool-call workloads that need query debouncing and micro-batching.
Key features
- 01Adaptive sliding-window debouncing
- 02Micro-batch request coalescing
- 03Python standard-library runtime
Use cases
- 01Combining bursts of LLM queries
- 02Reducing repeated tool-call requests
MCP support
It runs as an MCP server and can be used by MCP clients. The README also describes direct library use.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGenPark Adaptive Batch Request Debouncer
Adaptive sliding window query debouncing and micro-batch coalescing engine optimizing LLM and tool call throughput.
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.
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