Atlan AI Agent Toolkit
Officialby
Provides a collection of tools and protocols that enable AI agents to interact with Atlan services, offering asset search and retrieval capabilities via the Model Context Protocol.
Atlan AI Agent Toolkit Overview
What is Atlan AI Agent Toolkit about?
The toolkit delivers a set of reusable components for building AI agents that need to query and manipulate Atlan catalog data. It includes an MCP server that exposes asset‑search and retrieval tools built on the pyatlan SDK.
How to use Atlan AI Agent Toolkit?
- Clone the repository.
- Review the MCP server documentation in
modelcontextprotocol/README.mdfor setup steps. - Install the Python dependencies (e.g.,
pip install atlan-mcp-server pyatlan). - Run the MCP server and integrate its endpoints into your agent's tool‑calling logic.
- Use the provided tool definitions to perform asset searches or fetch asset details from Atlan.
Key features of Atlan AI Agent Toolkit
- MCP server exposing Atlan asset‑search and retrieval tools.
- Built on the official
pyatlanPython SDK for seamless API interactions. - Modular design allowing independent use of each component.
- Clear documentation and contribution guidelines.
Use cases of Atlan AI Agent Toolkit
- Enabling LLM‑powered agents to answer data‑catalog queries.
- Automating metadata discovery in data‑governance workflows.
- Building conversational interfaces that retrieve asset information on demand.
- Integrating with custom AI agents for data lineage or impact analysis.
FAQ from the Atlan AI Agent Toolkit
Q: Do I need an Atlan account to use the toolkit? A: Yes, an active Atlan workspace and appropriate API credentials are required.
Q: Is the toolkit limited to Python? A: The core MCP server is Python‑based, but the exposed HTTP endpoints can be consumed from any language.
Q: How can I contribute?
A: Follow the guidelines in CONTRIBUTING.md and adhere to the Contributor Covenant.
Q: What license governs the project? A: The project is licensed under the MIT License.
Atlan AI Agent Toolkit's README
Atlan Agent Toolkit
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.
Components
Model Context Protocol (MCP)
An MCP server that enables interaction with Atlan services through tool calling. Provides tools for asset search, and retrieval using pyatlan.
You can find the documentation and setup instructions for the MCP server here.
🔍 DeepWiki: Ask Questions About This Project
Contributing
See CONTRIBUTING.md for details on how to contribute to the Atlan Agent Toolkit.
License
The project is licensed under the MIT License. Please see the LICENSE file for details.
Atlan AI Agent Toolkit Reviews
Login Required
Please log in to share your review and rating for this MCP.
Actions
Similar MCP Servers like Atlan AI Agent Toolkit
Explore related MCPs that share similar capabilities and solve comparable challenges
Sequential Thinking
Officialby modelcontextprotocol
An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
LibreChat
OfficialClientby danny-avila
Provides a self‑hosted ChatGPT‑style interface supporting numerous AI models, agents, code interpreter, image generation, multimodal interactions, and secure multi‑user authentication.
Goose
by block
Automates engineering tasks on local machines, executing code, building projects, debugging, orchestrating workflows, and interacting with external APIs using any LLM.
Roo Code
OfficialClientby RooCodeInc
Provides an autonomous AI coding partner inside the editor that can understand natural language, manipulate files, run commands, browse the web, and be customized via modes and instructions.
Pydantic AI
by pydantic
A Python framework that enables seamless integration of Pydantic validation with large language models, providing type‑safe agent construction, dependency injection, and structured output handling.
Mcp Agent
Clientby lastmile-ai
Build effective agents using Model Context Protocol and simple, composable workflow patterns.
Mcp Use
Clientby mcp-use
A Python SDK that simplifies interaction with MCP servers and enables developers to create custom agents with tool‑calling capabilities.
5ire
Clientby nanbingxyz
A cross‑platform desktop AI assistant that connects to major LLM providers, supports a local knowledge base, and enables tool integration via MCP servers.
Gptme
Clientby gptme
Provides a personal AI assistant that runs directly in the terminal, capable of executing code, manipulating files, browsing the web, using vision, and interfacing with various LLM providers.