Docs MCP server

Install the Together AI docs MCP server in Cursor, Claude Code, VS Code, OpenCode, or Codex.

Model Context Protocol (MCP) lets AI coding agents call external tools and pull in external data. The Together AI docs MCP server gives your agent direct access to this documentation site without leaving your editor.

Install

The fastest install is the universal npx add-mcp shortcut, which detects your active client and configures the server in one step. The other tabs cover client-specific install commands and manual configuration.

Universal

npx add-mcp https://docs.together.ai/mcp

Claude Code

claude mcp add --transport http "TogetherAIDocs" https://docs.together.ai/mcp

Cursor

For manual configuration, add this to your Cursor MCP settings:

{
  "mcpServers": {
    "together-docs": {
      "url": "https://docs.together.ai/mcp"
    }
  }
}

VS Code

Install in VS Code

For manual configuration, add this to your VS Code settings.json:

{
  "mcp": {
    "servers": {
      "together-docs": {
        "type": "http",
        "url": "https://docs.together.ai/mcp"
      }
    }
  }
}

Codex

See the Codex repository for details. To connect to the remote server, add this to your Codex configuration:

[mcp_servers.together_docs]
type = "http"
url = "https://docs.together.ai/mcp"

OpenCode

Add this to your OpenCode configuration file:

{
  "mcp": {
    "together_docs": {
      "type": "remote",
      "url": "https://docs.together.ai/mcp",
      "enabled": true
    }
  }
}

What you can do

Once installed, your AI coding agent will have direct knowledge of Together AI and can answer prompts like:

• “Write a script to process data with batch inference”
• “Build a simple chat app with Together AI’s chat completions API”
• “Find the best open-source model for frontier coding”
• “How do I fine-tune a model on my own data?”

The MCP server provides tools to search and retrieve documentation content, so your agent can get accurate answers without leaving your coding environment.