MCP Client Using LangChain / TypeScript
Simple CLI MCP Client Implementation Using LangChain ReAct Agent / TypeScript
Overview
What is MCP Client Using LangChain / TypeScript?
MCP Client Using LangChain / TypeScript is a client implementation that demonstrates the use of Model Context Protocol (MCP) server tools through the LangChain ReAct Agent.
How to use MCP Client?
To use the MCP Client, install the necessary dependencies, set up your API keys, configure the MCP servers, and run the application using Node.js.
Key features of MCP Client?
- Supports multiple MCP servers and converts their tools into LangChain-compatible tools.
- Utilizes utility functions for parallel initialization of MCP servers.
- Compatible with LLMs from Anthropic, OpenAI, and Groq.
Use cases of MCP Client?
- Integrating various MCP server tools into a single application.
- Facilitating the use of language models in applications requiring context management.
- Enabling developers to build applications that leverage multiple AI models seamlessly.
FAQ from MCP Client?
- What are the prerequisites for using the MCP Client?
You need Node.js 16+, npm 7+, and API keys from the respective LLM providers.
- Is there a Python version of this client?
Yes, a Python version is available on GitHub.
- How do I configure the MCP servers?
You can configure the MCP servers in the
llm_mcp_config.json5file following the specified format.
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