Ts Mcp Client Server
@oneness
About Ts Mcp Client Server
MCP client and server with command line chat interface using Anthropic
Basic information
Config
No standard config provided
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RepositoryTools
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Overview
What is Ts Mcp Client Server?
It is an example MCP (Model Context Protocol) client and server implementation in TypeScript, demonstrating how MCP works with stdio transport and the Anthropic API.
How to use Ts Mcp Client Server?
Clone the repository, set your ANTHROPIC_API_KEY in a .env.local file, and install dependencies with npm. Run npm run build to compile, then npm run mcp for the stdio client/server demo or npm run chat for a command-line chat interface that uses Claude via MCP.
Key features of Ts Mcp Client Server
- TypeScript MCP client and server example
- Uses stdio transport for inter-process communication
- Integrates with Anthropic SDK for LLM completions
- Provides a command-line chat interface
- Exposes and executes tools via the MCP server
Use cases of Ts Mcp Client Server
- Learning how MCP client/server works with stdio transport
- Building a CLI chat interface to Claude completion
- Demonstrating tool execution through an MCP server
- Prototyping MCP integrations with the Anthropic API
FAQ from Ts Mcp Client Server
What is the purpose of Ts Mcp Client Server?
It is a step-by-step example showing how MCP works as a standalone client/server and with an LLM, aimed at developers learning the protocol.
How do I set up the environment?
Install Node.js (nix recommended), then install npm dependencies. Create a .env.local file with your ANTHROPIC_API_KEY.
How do I run the demo?
First run npm run build, then npm run mcp to start the stdio client/server demo, or npm run chat to launch the CLI chat interface that uses Anthropic’s Claude.
What files are included?
The project contains index.ts (entry point), server.ts (MCP server), client.ts (MCP client), llm.ts (Anthropic SDK integration), and chat.ts (command-line interface).
Does the project have any notes on code generation?
The README notes that Claude and Gemini web chat interfaces were used to generate some of the boilerplate code.
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