Langchain Usage FAQs

Name: Langchain Usage
Author: hideya

Question 1

What are the prerequisites for running this example?

Accepted Answer

You'll need Node.js 16+, npm 7+, and an API key from either Anthropic or OpenAI. Optionally, you can install `uv` for running Python-based MCP servers.

Question 2

What library does this tool use to interact with MCP servers?

Accepted Answer

It leverages the `@h1deya/langchain-mcp-tools` library to convert MCP server tools into LangChain-compatible tools.

Question 3

Where can I find a more realistic MCP Client example?

Accepted Answer

A more advanced, conversational MCP Client example built with LangChain and TypeScript can be found at [https://github.com/hideya/mcp-client-langchain-ts](https://github.com/hideya/mcp-client-langchain-ts).

Question 4

What LLMs does this example support?

Accepted Answer

The primary LLM used is Anthropic's `claude-3-5-sonnet-latest`. Example code is also included (but commented out) for OpenAI's `gpt-4o`.

Question 5

What is Langchain Usage?

Accepted Answer

Langchain Usage is a TypeScript-based demonstration of how to connect LangChain agents with Model Context Protocol (MCP) servers. It provides example code for utilizing external tools within your LangChain applications.

Langchain Usage

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