Anthropic is a AI & ML MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent call Anthropic Claude models, manage messages and batches from any MCP-compatible agent. Install in 1 minute with mcpizy install anthropic.
AI & ML
Call Anthropic Claude models, manage messages and batches from any MCP-compatible agent.
Connect your Anthropic account once — MCPizy stores the credentials encrypted and uses them whenever you run a recipe in managed mode.
mcpizy install anthropicnpx -y @anthropic-ai/mcp-serversend_messageCall Claude with a prompt and return the response
Inputs
modelstringrequiredmessagesobject[]requiredlist_modelsList available Claude models
count_tokensCount tokens in a prompt for a model
Inputs
modelstringrequiredmessagesobject[]requiredWorks identically across clients. Only the config file path differs.
~/.claude.json{
"mcpServers": {
"anthropic": {
"command": "npx",
"args": [
"-y",
"anthropic-mcp-server"
],
"env": {
"ANTHROPIC_API_KEY": "sk-ant-..."
}
}
}
}.cursor/mcp.json{
"mcpServers": {
"anthropic": {
"command": "npx",
"args": [
"-y",
"anthropic-mcp-server"
],
"env": {
"ANTHROPIC_API_KEY": "sk-ant-..."
}
}
}
}~/.codeium/windsurf/mcp_config.json{
"mcpServers": {
"anthropic": {
"command": "npx",
"args": [
"-y",
"anthropic-mcp-server"
],
"env": {
"ANTHROPIC_API_KEY": "sk-ant-..."
}
}
}
}Create an API key in the Anthropic Console
ANTHROPIC_API_KEYPaste any of these prompts into Claude Code, Cursor or another MCP-compatible client.
“Ask Claude Opus to draft a product launch email in 3 variations”
Uses: send_message
“Count tokens in this 5-page contract before I send it”
Uses: count_tokens
“List the Claude models I can call”
Uses: list_models
AI-powered codebase context. Understand any GitHub repo instantly with semantic code search.
Open-source LLM observability. Collaborative prompt editing, tracing, and evaluation.
Predict anything with AI forecasting. Time series predictions, anomaly detection, and trend analysis.
Models, datasets, and spaces on HF
If Anthropic doesn't fit your stack, these AI & ML MCP servers solve similar problems.
The Anthropic MCP server is an AI & ML Model Context Protocol server that lets Claude Code, Cursor, Windsurf, VS Code with Copilot, and other MCP-compatible AI agents call Anthropic Claude models, manage messages and batches from any MCP-compatible agent. It exposes Anthropic's capabilities as tools the AI can call directly from your editor or CLI.
The fastest way is the MCPizy CLI: run `mcpizy install anthropic` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y @anthropic-ai/mcp-server` and restarting Claude Code.
Yes. The Anthropic MCP server is free and open source (see the GitHub repository linked on this page). You may still need a Anthropic account or API key to connect the server to the underlying service, but the MCP layer itself has no MCPizy subscription cost.
Yes. Any MCP-compatible client works — including Claude Code, Claude Desktop, Cursor (via `.cursor/mcp.json`), Windsurf, VS Code with Copilot Chat, and custom agents built on the MCP SDK. The same install command targets all of them; only the config file path differs.
Once installed, your AI agent can call Anthropic Claude models, manage messages and batches from any MCP-compatible agent directly inside your conversation. Typical use cases include asking Claude Code or Cursor to run Anthropic operations, inspect results, chain Anthropic with other MCP servers (see our Workflow Recipes), and automate repetitive ai & ml tasks without leaving your editor.