
mcp client
build agents and complex workflows with LLMs
Repository Info
About This Server
build agents and complex workflows with LLMs
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
MCP Python Application
This is a MCP application designed to interact with external resources.
Requirements
- Python 3.7 or higher
asynciolibrary (included with Python)mcp(custom library for handling MCP communication)
Setup
-
Clone the repository (or download the script files) to your local machine.
-
Run the client :
uv run client.pyThe server script can be a Python
.pyor JavaScript.jsfile.
Example Workflow
- The user enters a query like:
http://127.0.0.1:8000/process_message { // 哈囉 // 我想知道我有哪些collections // 幫我輸出隨便五個資料 "message": "幫我輸出隨便五個資料", "session_id": "1" } Question1: How is the weather in California today? Question2: What collections are available in the database?
Quick Start
Clone the repository
git clone https://github.com/spirita1204/mcp-clientInstall dependencies
cd mcp-client
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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