Alation AI Agent SDK MCP Server

@Alation

代码仓库

基本信息

分类

开发工具

许可证

Apache-2.0

传输方式

stdio

作者

Alation

关于 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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Alation AI Agent SDK MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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`.

开发工具分类下的更多 MCP 服务器

Termany

thinkany-ai

Agent-Native Terminal

174

Meticulous

9apes

The 9apes MCP server lets an AI assistant read the GitHub Actions data 9apes already collects for your organization: runs, jobs, steps, and their durations. Ask it why a build got slower, which jobs take the longest, or

SSH MCP Server

hypnosis

SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.

ArtiBot Cloud MCP - Zhijiangyun 智匠云

bofob

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation