Pydantic MCP Agent with Chainlit

@RyanNg1403

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

RyanNg1403

关于 Pydantic MCP Agent with Chainlit

This repo makes use of MCP servers to seamlessly integrate multiple tools for the agent.

#pydantic #mcp-agent #chainlit #ai-agent

Pydantic MCP Agent with Chainlit 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "pydantic-ai-mcp-agent-with-chainlit": {
      "command": "python",
      "args": [
        "pydantic_mcp_agent.py"
      ]
    }
  }
}

Pydantic MCP Agent with Chainlit 工具

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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 Pydantic MCP Agent with Chainlit?

An AI agent implementation using Pydantic and Chainlit that provides web browsing and automated interactions through the Multi-Command Protocol (MCP). It integrates with Ollama for local LLM support and uses a Chainlit-based interactive chat interface. This server is designed for developers building type-safe, configurable AI agents with local language models.

How to use Pydantic MCP Agent with Chainlit?

After installing Python and Node.js dependencies and configuring mcp_config.json, run the Chainlit interface with chainlit run pydantic_mcp_chainlit.py or execute the agent directly with python pydantic_mcp_agent.py. Environment variables EXA_API_KEY and OLLAMA_HOST can be set in a .env file.

Key features of Pydantic MCP Agent with Chainlit

Web browsing with automated interactions
Integration with Ollama for local LLM support
Chainlit-based interactive chat interface
Pydantic models for type-safe data handling
Configurable MCP server integration

Use cases of Pydantic MCP Agent with Chainlit

Automating web browsing tasks through a chat interface
Building AI agents with local language models
Type-safe agent development with Pydantic validation
Interactive testing of MCP server commands
Running AI agents without external API dependencies

常见问题

What are the required dependencies?

Python 3.8+, Node.js and npm, a local Ollama installation, and access to an MCP server.

How do I configure the MCP server?

Copy `mcp_config.template.json` to `mcp_config.json` and edit the file with your configuration settings. The file is ignored by git for security.

What environment variables are needed?

`EXA_API_KEY` for your MCP API key and `OLLAMA_HOST` for the Ollama host address (defaults to `http://localhost:11434`).

Does this work without internet access?

Yes, Ollama integration enables local LLM support, though MCP server access may require network connectivity depending on configuration.

What license is this project under?

This project is licensed under the MIT License.

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