This MCP server is a component of the Atlan Agent Toolkit designed to enable AI agents to interact with Atlan services through structured tool calls. It exposes focused tools for asset search and asset retrieval, implemented with the pyatlan Python SDK to perform the underlying Atlan API operations. The MCP server can be used standalone or in concert with other toolkit components to support automated discovery, asset lookup, and data retrieval workflows within agent runtimes. Documentation and setup instructions for deploying and configuring the MCP server are available in the modelcontextprotocol/README.md, making it straightforward to wire the server into a tool-based agent loop and grant appropriate Atlan access. The described capabilities imply that agents can locate relevant Atlan assets, retrieve metadata or asset content, and integrate these results into planning and execution steps. By exposing these operations as MCP tools, the server enables consistent, reusable interaction patterns for AI agents operating against the Atlan data ecosystem.