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Give AI agents controlled web access, search, and structured data extraction.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Groundlane" yet — see the docs or source repo.
Fetch this web page and convert it to Markdown, preserving headings, paragraphs, and link structure: https://example.com
Returns the page content in clean Markdown for summarization, quoting, or further processing.
Search for "AI agent web browsing MCP" and compile relevant results across providers with duplicates removed.
Returns a result list aggregated from multiple search providers for quick comparison and filtering.
Extract the article title, publish date, and author from this page using suitable CSS selectors, and return structured output: https://example.com/news
Returns field-based structured data ready for analysis or storage.
Developers can connect Groundlane to AI agents so models can search the web, fetch pages, and read content within controlled access. This helps integrate web retrieval into automated workflows.
Researchers or data analysts can use CSS selectors to extract fields such as titles, dates, or prices from target pages. It is useful for turning page content into structured data.
When users need to summarize, quote, or further analyze web pages with a model, they can first fetch pages as Markdown. This is easier to read and process than raw web content.
It is an MCP server that gives AI agents controlled access to the web. Known capabilities include fetching pages as Markdown, searching across multiple providers, and extracting structured data with CSS selectors.
Based on the description, it supports three core tasks: fetching page content, performing searches, and extracting structured fields. For any additional advanced capabilities, see the source repository.
The provided materials do not include installation steps, runtime requirements, or API key configuration details. For deployment and prerequisites, see the source repository.
Provide safe self-hosted web grounding for AI agents and crawlers.
Let AI agents search the web and extract webpage content.
Enable AI agents to search the web and extract useful page content.
Capture clean web screenshots and extract main article content automatically.
Ground AI answers in local documents with search, summaries, and cited responses.
Search the web locally and generate grounded answers with an Ollama model.