
GenPark Adaptive Batch Request Debouncer
io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Nov 4, 2026
Adaptive sliding window query debouncing and micro-batch coalescing engine optimizing LLM throughput
Overview
Local MCP server that debounces queries and coalesces them into micro-batches to improve LLM throughput.
- What you can do
- Debounces incoming queries using an adaptive sliding window.
- Coalesces related requests into micro-batches before they are processed.
- Aims to raise LLM throughput by reducing the number of separate calls.
- No individual tools are listed, so the exact operations the assistant can invoke are not documented.
- When to use it
- Worth considering when many similar or bursty LLM requests need to be grouped and timed before processing, and you want that batching handled locally on your machine.
- Requirements
- Runs as a local stdio process on the user's machine, distributed as an MCPB package for desktop clients. No authentication, environment variables or headers are declared.
Installation
In SourceWeft
- Open GenPark Adaptive Batch Request Debouncer 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
This repository has no README.
Tools
0Version history
1- v1.0.1LatestOct 21, 2026
Score
25% 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
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- License10 pts
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