Langchain Mcp
What is Langchain Mcp
langchain_mcp is a Python application designed to run large models, specifically the Qwen 235B model based on silicon flow, and integrates with Azure OpenAI’s GPT-4.1.
Use cases
Use cases for langchain_mcp include chatbots, content generation, language translation, and other applications that benefit from large-scale language understanding and generation.
How to use
To use langchain_mcp, run ‘python app-qwen-235B.py’ after filling in your silicon flow key in the ‘silion.env’ file. For Azure OpenAI, run ‘python app.py’ and replace ‘xxx’ in the ‘.env’ file with your credentials.
Key features
Key features include the ability to run large language models, compatibility with both silicon-based and Azure-based models, and flexibility in choosing between different model providers based on performance and cost.
Where to use
langchain_mcp can be used in various fields such as natural language processing, AI-driven applications, and any domain requiring advanced language model capabilities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Langchain Mcp
langchain_mcp is a Python application designed to run large models, specifically the Qwen 235B model based on silicon flow, and integrates with Azure OpenAI’s GPT-4.1.
Use cases
Use cases for langchain_mcp include chatbots, content generation, language translation, and other applications that benefit from large-scale language understanding and generation.
How to use
To use langchain_mcp, run ‘python app-qwen-235B.py’ after filling in your silicon flow key in the ‘silion.env’ file. For Azure OpenAI, run ‘python app.py’ and replace ‘xxx’ in the ‘.env’ file with your credentials.
Key features
Key features include the ability to run large language models, compatibility with both silicon-based and Azure-based models, and flexibility in choosing between different model providers based on performance and cost.
Where to use
langchain_mcp can be used in various fields such as natural language processing, AI-driven applications, and any domain requiring advanced language model capabilities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
langchain_mcp
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python app-qwen-235B.py 运行的是基于硅基流动的大模型235b，请在silion.env里填入你的硅基流动的key
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python app.py 运行的是Azure openAI gpt4.1 请在.env文件里替换xxx
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硅基的会慢很多，可以考虑换为阿里百炼的Qwen 235b那样速度会快，但价格稍贵。
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
