Alation AI Agent SDK

Name: Alation AI Agent SDK
Author: Alation

@Alation

リポジトリ

Alation AI Agent SDK について

Python library for integrating the Alation API into agentic workflows

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

基本情報

カテゴリ

開発者ツール

ライセンス

Apache-2.0

ランタイム

python

トランスポート

stdio

公開者

Alation

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from Alation AI Agent SDK

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.