This repo makes use of MCP servers to seamlessly integrate multiple tools for the agent.
Overview
What is Pydantic MCP Agent with Chainlit?
Pydantic MCP Agent with Chainlit is a powerful AI agent implementation that utilizes Pydantic and Chainlit to enable web browsing and interaction through the Multi-Command Protocol (MCP).
How to use Pydantic MCP Agent with Chainlit?
To use the agent, clone the repository, install the required dependencies, configure the MCP settings, and run the Chainlit interface or the agent directly.
Key features of Pydantic MCP Agent with Chainlit?
- Web browsing capabilities 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 interactions for data retrieval
- Building interactive chatbots that leverage local LLMs
- Creating applications that require type-safe data handling with Pydantic
FAQ from Pydantic MCP Agent with Chainlit?
- What are the prerequisites for using this project?
You need Python 3.8+, Node.js, npm, and access to an MCP server.
- Is there a specific way to configure the MCP server?
Yes, you need to edit the
mcp_config.jsonfile with your specific settings.
- Can I contribute to this project?
Yes! You can fork the repository and submit a pull request with your changes.