Alation AI Agent SDK MCP Server

@Alation

Repository

Basic information

About Alation AI Agent SDK MCP Server

Python library for integrating the Alation API into agentic workflows

#tools #ai-agent #langchain-python #agent-tools #mcp-server

Alation AI Agent SDK MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "alation-ai-agent-sdk": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "alation-ai-agent-sdk==1.0.0rc3"
      ]
    }
  }
}

Alation AI Agent SDK MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Alation AI Agent SDK?

The Alation AI Agent SDK enables AI agents to access and leverage metadata from the Alation Data Catalog. It is designed for developers and data teams who want to integrate AI agents with their data catalog for tasks like search, discovery, and curation.

How to use Alation AI Agent SDK?

Install the SDK via pip with uv, then configure it with your Alation instance credentials using ServiceAccountAuthParams. You can use the core SDK directly, or integrate with LangChain or MCP (Model Context Protocol) via separate packages.

Key features of Alation AI Agent SDK

Integrates with Alation Data Catalog for metadata access
Supports natural language search for relevant metadata
Includes MCP and LangChain integrations
Provides tools like catalog context search, lineage, and data quality
Supports streaming and chat ID for enhanced agent interactions
Offers a remote MCP server option for easier deployment

Use cases of Alation AI Agent SDK

Asset curation and metadata enrichment
Search and discovery across catalog assets
Building role-based and data analyst agents
Creating custom query flow agents
Integrating with AI frameworks like MCP and LangChain

Frequently asked questions

What authentication methods are supported?

The recommended method is Service Account authentication using `client_id` and `client_secret`. User account authentication is documented as a fallback.

What are the runtime requirements?

Python 3.10 or higher, access to an Alation Data Catalog instance, and a valid refresh token or client credentials.

How does the remote MCP server work?

The remote MCP server allows clients to connect without installing the SDK locally. After a one-time authorization setup, you can add a URL like `https://<your_instance>/ai/mcp` to your MCP client.

What tools are included in the SDK?

Supported tools include `alation_context`, `bulk_retrieval`, `data_quality_tool`, `get_custom_fields_definitions`, `get_data_products`, `get_data_sources_tool`, `get_signature_creation_instructions`, and `lineage`.

What agents are available?

Agents include `catalog_context_search_agent`, `custom_agent`, `query_flow_agent`, and `sql_query_agent`.

Comments

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