LangChain MCP
Description
# LangChain MCP #### This repository explores the Model Context Protocol (MCP) using LangChain. It includes two core components: ##### Twitter Server: Fetches and returns relevant tweets based on a user query. ##### ArXiv Server: Retrieves relevant research papers from ArXiv…
About
# LangChain MCP #### This repository explores the Model Context Protocol (MCP) using LangChain. It includes two core components: ##### Twitter Server: Fetches and returns relevant tweets based on a user query. ##### ArXiv Server: Retrieves relevant research papers from ArXiv, summarizing content, authors, and more…
Details
- Author
- TransData
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- AI
Jump to
- Fetches relevant tweets based on a user query.
- Retrieves relevant research papers from ArXiv.
- Summarizes paper content and author information.
- Implements the Model Context Protocol (MCP).
- Built on the LangChain framework.
Install the required dependencies using pip install -r requirements.txt. Then start the MCP server by running python server_name.py (replace server_name.py with the appropriate file for the desired component). The server will launch on its assigned port and be ready to handle requests.
LangChain MCP
This repository explores the Model Context Protocol (MCP) using LangChain. It includes two core components:
Twitter Server: Fetches and returns relevant tweets based on a user query.
ArXiv Server: Retrieves relevant research papers from ArXiv, summarizing content, authors, and more.
🚀 Getting Started
Installation
Install the required dependencies:
pip install -r requirements.txt
Running the Server
To start the MCP server, run:
python server_name.py
The server will launch on its assigned port and be ready to handle requests.
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