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Alation AI Agent SDK MCP Server

@Alation

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基本情報

カテゴリ

開発者ツール

ライセンス

Apache-2.0

トランスポート

stdio

作者

Alation

Alation AI Agent SDK MCP Server について

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 の設定

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"
      ]
    }
  }
}

Alation AI Agent SDK MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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

よくある質問

1

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.

2

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.

3

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.

4

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`.

5

What agents are available?

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

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