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Use client-side LLM sampling to summarize documents quickly.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sampling-mcp" yet — see the docs or source repo.
Use the sampling capability to compress this research document into 5 bullets, keeping key conclusions and risks.
A concise summary with core conclusions, key findings, and potential risks.
Based on the meeting notes below, provide a summary with action items, owners, and due dates.
A structured summary listing action items, owners, and deadlines.
Scrape web content and search documentation through a FastMCP-powered MCP server.
A minimal Python MCP server for learning, testing, and integrating core primitives.
Provide a learning MCP server with tools, prompts, resources, and local storage.
Test MCP client connectivity with a simple example server and ping tool.
Fetch, search, batch-process, and summarize web content for research workflows.
Take notes and generate quick summaries from prompts.