January AI Nutrition MCP MCP server

This official MCP server exposes January's v1.2 REST API, enabling AI agents to perform food photo recognition, nutrition search, meal logging, and glucose prediction. It allows developers to integrate health and nutrition data directly into coding agents like Claude Code and Codex, handling authentication via API keys and managing credits.

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

OAuth sign-inEndpoint checked 2026-10-05Operated by January AI

MCP endpoint (Streamable HTTP)

https://mcp.january.ai/mcp

Vendor documentation

What you can do with it

Search the January food database for specific items like greek yogurt
Analyze food photos or descriptions to detect nutrition
Predict glucose curves for a described person based on meals
Manage food logs including creating, updating, and deleting entries

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http january-ai-nutrition-mcp https://mcp.january.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add january-ai-nutrition-mcp --url https://mcp.january.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable january-ai-nutrition-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "january-ai-nutrition-mcp": {
      "url": "https://mcp.january.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "january-ai-nutrition-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.january.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start january-ai-nutrition-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "january-ai-nutrition-mcp": {
      "type": "http",
      "url": "https://mcp.january.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http january-ai-nutrition-mcp https://mcp.january.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "january-ai-nutrition-mcp": {
      "url": "https://mcp.january.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "january-ai-nutrition-mcp": {
      "serverUrl": "https://mcp.january.ai/mcp"
    }
  }
}

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