Rank and shortlist MCP tools for natural-language queries with zero dependencies.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Quartermaster" yet — see the docs or source repo.
I have 180 MCP tools. For this request, “Find performance bottlenecks in a Python project and suggest optimization steps,” shortlist the 8 most relevant tools, rank them by relevance, and explain why each was selected.
A ranked shortlist of tools with a brief rationale showing why each fits the coding task.
Compress the current MCP tool library into a candidate list for this user request: “Organize sales data from the past week, generate a summary, and produce a briefing outline for management.” Keep only the tools most likely to be used.
A compact, highly relevant tool list that helps the agent read less and act faster.
In an offline, zero-dependency environment, route tools for the request “Inspect why the deployment pipeline failed and provide fix recommendations,” selecting the most relevant candidates from 200 tools.
A ranked candidate list suitable for offline use, so the model only reads a small set of key tools.
Aggregate MCP servers and route tools intelligently for efficient parallel work.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Demo MCP server for calculations, time checks, notes, and code review prompts.
Turn existing APIs and databases into MCP tools for direct AI use.
Turn CVs and projects into MCP tools for querying and job matching.
Chat with AI to retrieve documents and trigger MCP-powered tools.