Cover image
Try Now
2025-04-14

Atlan AI代理工具包

3 years

Works with Finder

8

Github Watches

0

Github Forks

8

Github Stars

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)

A protocol server that enables interaction with Atlan services through function calling. Provides tools for asset search, and retrieval using pyatlan.

Contributing Guidelines

We welcome contributions to the Atlan Agent Toolkit! Please follow these guidelines when submitting pull requests:

  1. Create a New Branch:

    • Create a new branch for your changes.
    • Use a descriptive name for the branch (e.g., feature/add-new-tool).
  2. Make Your Changes:

    • Make your changes in the new branch.
    • Ensure your tools are well-defined and follow the MCP specification.
  3. Submit a Pull Request:

    • Push your changes to your branch.
    • Create a pull request against the main branch.
    • Provide a clear description of the changes and any related issues.
    • Ensure the PR passes all CI checks before requesting a review.
  4. Code Quality:

    • We use pre-commit hooks to maintain code quality.
    • Install pre-commit in your local environment:
      uv pip install pre-commit
      pre-commit install
      
    • Pre-commit will automatically run checks before each commit, including:
      • Code formatting with Ruff
      • Trailing whitespace removal
      • End-of-file fixing
      • YAML and JSON validation
      • Other quality checks
  5. Environment Setup:

    • This project uses UV for dependency management.
    • Refer to the Model Context Protocol README for setup instructions.
    • Python 3.11 or higher is required.
  6. Documentation:

    • Update documentation to reflect your changes.
    • Add comments to your code where necessary.

相关推荐

  • av
  • 毫不费力地使用一个命令运行LLM后端,API,前端和服务。

  • WangRongsheng
  • 🧑‍🚀 llm 资料总结(数据处理、模型训练、模型部署、 o1 模型、mcp 、小语言模型、视觉语言模型)|摘要世界上最好的LLM资源。

  • 1Panel-dev
  • 🔥1Panel提供了直观的Web接口和MCP服务器,用于在Linux服务器上管理网站,文件,容器,数据库和LLMS。

  • rulego
  • ⛓️Rulego是一种轻巧,高性能,嵌入式,下一代组件编排规则引擎框架。

  • hkr04
  • 轻巧的C ++ MCP(模型上下文协议)SDK

  • sigoden
  • 使用普通的bash/javascript/python函数轻松创建LLM工具和代理。

  • RockChinQ
  • 😎简单易用、🧩丰富生态 -大模型原生即时通信机器人平台| 适配QQ / 微信(企业微信、个人微信) /飞书 /钉钉 / discord / telegram / slack等平台| 支持chatgpt,deepseek,dify,claude,基于LLM的即时消息机器人平台,支持Discord,Telegram,微信,Lark,Dingtalk,QQ,Slack

  • modelscope
  • 开始以更轻松的方式开始构建具有LLM授权的多代理应用程序。

  • dmayboroda
  • 带有可配置容器的本地对话抹布

    Reviews

    1 (1)
    Avatar
    user_EeV670Hy
    2025-04-23

    The agent-toolkit from atlanhq is an impressive innovation! Its seamless integration and user-friendly interface make it a game-changer for managing MCP applications. I found it particularly useful in streamlining our processes, boosting efficiency, and enhancing overall productivity. Highly recommended for anyone looking to optimize their workflow!