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Overview

BotrixAI exposes an MCP (Model Context Protocol) server that lets AI assistants like Codex, Claude Code, Claude Desktop, and Cursor access your workspace and documentation. Once connected, an assistant can list your agents, fetch agent definitions, and search BotrixAI docs on your behalf.

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Prerequisites

  • A BotrixAI API key. Generate one at /api-keys. See API Keys.
  • Your BotrixAI MCP endpoint: https://voice-app.botrixai.com/api/v1/mcp/
The endpoint is also shown in Platform Settings → MCP Server inside the BotrixAI UI.

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Claude Code

Register BotrixAI as an MCP server with the Claude Code CLI:
Replace YOUR_API_KEY with the key you generated. Verify the server is connected:

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Codex

Open Codex’s config file (~/.codex/config.toml) and add a botrixai MCP server:
Replace YOUR_API_KEY with the key you generated. If you prefer to keep the API key out of config.toml, store it in an environment variable instead:
Then set the API key before starting Codex:
Verify the server is registered:

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Claude Desktop

Open Claude Desktop’s config file (claude_desktop_config.json) and add the botrixai entry under mcpServers:
Restart Claude Desktop after saving. The BotrixAI tools should appear in the tool picker.

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Cursor and other MCP clients

Any MCP client that supports Streamable HTTP transport can connect with the same URL and header. Paste the configuration above into your client’s MCP settings file and replace YOUR_API_KEY.

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Example prompts

Once the MCP server is connected, you can drive BotrixAI from your coding agent in plain English. A few prompts to try: Explore your workspace
  • “List my agents in BotrixAI.”
  • “Show me the definition of the agent called Lead Qualifier.”
  • “Which credentials and tools are configured in my BotrixAI workspace?”
  • “List the recordings from my most recent agent.”
Edit an agent
  • “In my Lead Qualifier agent, add a new agent node after the greeting that asks the caller for their budget, then routes to the existing qualification node.”
  • “Add an end-call node to Support Bot that triggers when the user says they are done, with a polite goodbye prompt.”
  • “Rename the intro node in Lead Qualifier to greeting and update any edges that reference it.”
  • “Change the LLM model on all agent nodes in Support Bot to gpt-4o-mini.”
Learn the platform
  • “Search the BotrixAI docs for how to configure a TURN server.”
  • “What node types does BotrixAI support, and what fields does a knowledge_base node take?”
  • “How do I deploy BotrixAI on a custom domain with HTTPS?”
Agent edits are saved as a new draft version — your published agent keeps serving calls until you explicitly publish the draft from the BotrixAI UI.
The API key controls which workspace the assistant sees. Treat it like any other credential — do not commit it to source control or paste it into shared chats.