Clawnify

Clawnify is a managed platform for AI agents that actually do work — over WhatsApp, Telegram, email, Slack, voice, and a real browser — plus a managed runtime for the apps those agents need to use.

Connect any MCP-compatible client to your org and you get typed access to the org’s apps, integrations, and execution surface. Hire an AI worker, not a chatbot.

What you get

  • Managed AI worker per org. Provisioned, isolated, network-hardened. WhatsApp, Telegram, email, Slack, voice, and a real browser.
  • MCP gateway at mcp.clawnify.com. Connect Claude Desktop, Cursor, ChatGPT, or anything that speaks MCP. Officially supports OpenClaw and opencode out of the box; compatible with any MCP-speaking agent.
  • App platform. Deploy custom apps your agent can use — internal CRMs, lookup tools, dashboards. Each app gets typed procedures the agent calls directly.
  • Workflow builder. Visual flows triggered by webhooks, schedules, and channel events.
  • Voice. PSTN calls through Twilio/Telnyx with Deepgram’s Voice Agent API.

Products

  • MCP gateway — mcp.clawnify.com. Tools for execute, docs_search, list_apps, and per-app direct procedures.
  • Clawnify CLI — log in, deploy apps, run code on your agent, bridge stdio MCP clients to the gateway.
  • ClawFlow — visual flow builder for agent automations.
  • ClawVoice — voice-agent plugin for phone calls.
  • HTTP API — programmatic access. OpenAPI 3.1.

Start here

If you’re new:

  1. Create an account at clawnify.com.
  2. Install the CLI: npm install -g clawnify.
  3. Run clawnify login, then clawnify deploy from any web project with a clawnify.json.

If you want to point Claude Desktop / Cursor / ChatGPT at your agent’s org instead, jump to MCP gateway → Claude Desktop.

Machine-readable surface

  • /openapi/clawnify.json — OpenAPI 3.1 document for the public HTTP API.
  • /llms.txt — LLM-optimized Markdown rendering of the API surface. Point any LLM/agent at this URL for a single-file summary.