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Fetch web content in SLIM format to cut tokens and improve AI efficiency.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SLIM MCP Server" yet — see the docs or source repo.
Use the SLIM MCP Server to fetch this documentation page and return the main body in SLIM format, ignoring navigation, footer, and ads: https://example.com/docs/getting-started
A compact version of the page content suitable for direct LLM summarization or Q&A.
Fetch these three competitor feature pages in sequence, output them in SLIM format, and extract the core value propositions and feature headings from each page: https://a.com/features https://b.com/features https://c.com/features
Slimmed page content plus structured key points for easier comparison and analysis.
Use the SLIM MCP Server to fetch this long article, preserve headings, paragraphs, and lists as much as possible, and remove irrelevant styling information so I can ask questions about it later: https://example.com/long-article
Lightweight web content with semantic structure preserved, reducing context usage for deeper analysis.
Automate browser tasks with precise element targeting via accessibility tree snapshots.
Summarize Playwright accessibility snapshots to cut context use in browser automation.
Delegate web research and image generation to ChatGPT through browser automation.
Read, edit, and summarize documents through a Claude-powered chat interface.
Run real-time web searches and fetch page content through MCP.
Provide slim memory for AI assistants while reducing context token usage.