This repository is a curated, daily-updated collection of resources, models, papers, and tooling related to Anthropic and the Claude AI family. It is not an active MCP server itself; rather, it serves as a reference hub that aggregates official resources, model histories, SDKs, and community tooling. If you’re building an MCP-enabled workflow, you would typically point your MCP runner at a runnable server entry (node, python, npx, etc.) within your project; however, this particular README does not expose a running MCP service or a dedicated server endpoint. Use the content here as a knowledge base to inform your own MCP server implementations or to discover relevant tooling (e.g., Claude API docs, official SDKs, and companion projects) to integrate into your setup. The files describe categories such as Claude API & SDKs, model families, and integration frameworks which you can reference when configuring your MCP server to proxy or orchestrate Claude-related capabilities in your environment.

Since this repository does not appear to expose a runnable MCP server entry point, there are no installation steps for a server provided here. To use the content as a knowledge base in an MCP workflow, you can:

• Clone the repository locally or in your project workspace.
• Browse the README contents to identify relevant resources (SDKs, APIs, tutorials).
• If you want an MCP server around Claude resources, set up your own server (for example a Node.js or Python service) that serves endpoints or proxies to Claude API endpoints or SDK calls, and then configure your MCP runner to point to that service.

If you intend to host a separate MCP server, prerequisites generally include: Node.js or Python installed, a web framework (Express/FastAPI), and access to the Claude API with an API key.

Example minimal setup for a custom MCP server (illustrative only):

• Prerequisites: install Node.js, create a new project folder, initialize npm.

Code:

Using Node.js (example)

mkdir my-mcp-server cd my-mcp-server npm init -y npm install express

server.js (simplified example)

const express = require('express'); const app = express(); const port = process.env.PORT || 3000;

app.get('/health', (req, res) => res.json({ status: 'ok' }));

app.listen(port, () => console.log(MCP server listening on ${port}));

Run

node server.js

Adapt and expand this scaffold to proxy Claude API interactions, custom MCP endpoints, or orchestration logic as needed.

Tips and considerations:

• This MCP README is a resource hub rather than a runnable MCP server. If you plan to deploy an MCP server around Claude resources, ensure you manage API keys securely (e.g., environment variables via a .env file or your hosting platform’s secret management).
• When integrating Claude APIs, review official SDKs (Python, TypeScript/Node.js, Java, Go) and respect rate limits and attribution requirements.
• If you build an MCP server, consider exposing endpoints that mirror the categorization in this document (Official Resources, Claude API & SDKs, Model Families, etc.) to ease consumption by MCP clients.
• Keep the content synced with official Anthropic releases to ensure compatibility with model updates and policy changes.