Official MCP Server from Atlan which enables you to bring the power of metadata to your AI tools
If you want an AI assistant working directly with Atlan, the atlan mcp server is the bridge. Official MCP Server from Atlan which enables you to bring the power of metadata to your AI tools.
This repository contains a collection of tools and protocols for interacting with Atlan services for AI agents. Each component is designed to provide specific functionality and can be used independently or together.
Once connected, the assistant can call these 3 tools directly:
Search — AI-powered semantic search across data assetsLineage — Trace data flow upstream and downstreamGovernance — Manage glossaries, terms, certificationsThe server is distributed via PyPI as atlan-mcp-server, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Atlan sits in that group, and the shape of its toolset — Search, Lineage, Governance — tells you what it is really for. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Search | AI-powered semantic search across data assets |
| Lineage | Trace data flow upstream and downstream |
| Governance | Manage glossaries, terms, certifications |
{
"mcpServers": {
"agent-toolkit": {
"command": "uvx",
"args": ["atlan-mcp-server"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
The simplest web tool that matters — fetch any URL and get model-ready markdown back.
Industrial-strength web extraction — render, scrape, crawl and search entire sites into clean markdown.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Put 6,000+ pre-built scrapers at your assistant's fingertips through one MCP endpoint.