What are the runtime requirements?
Node.js version 14 or higher and an Anthropic API key (to access Claude) are required.
自作の MCP クライアントとサーバー
@okikusan-public
Basic information
About 自作の MCP クライアントとサーバー
No overview available yet
自作の MCP クライアントとサーバー config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
Repository自作の MCP クライアントとサーバー tools
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is 自作の Model Context Protocol (MCP) クライアントとサーバー?
This repository provides a custom implementation of both a Model Context Protocol (MCP) client and server. It connects AI assistants (via Anthropic’s Claude API) with data sources, demonstrating how to build and use MCP for interactive, real‑time communication.
How to use 自作の Model Context Protocol (MCP) クライアントとサーバー?
After cloning the repository, install dependencies with npm install, set up a .env file with your ANTHROPIC_API_KEY, and start the server using npm run start:server. Then run one of the demo applications (npm run demo:http, npm run demo:ws, or npm run demo:chat) to interact with the client.
Key features of 自作の Model Context Protocol (MCP) クライアントとサーバー
- Express.js based RESTful API server
- WebSocket support for real‑time streaming responses
- Unified client supporting both HTTP and WebSocket communication
- Interactive chat console demo with conversation history
Use cases of 自作の Model Context Protocol (MCP) クライアントとサーバー
- Learning and experimenting with the Model Context Protocol
- Prototyping an MCP‑enabled AI assistant that uses Claude
- Building a foundation for custom MCP integrations with streaming
Frequently asked questions
What transport protocols does it support?
It supports both HTTP (RESTful API) and WebSocket (for bidirectional streaming).
Where is the conversation data stored?
The demos keep conversation history in memory only. No persistent storage is implemented by default.
Does it include authentication?
No built‑in authentication; the API key is stored in an environment variable (`ANTHROPIC_API_KEY`). The README advises strengthening security for production use.
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