Automate

Automate outbound calling with AI agents

Ringee exposes its outbound workflow through an MCP server, so AI assistants and agents can do the busywork: search and import leads, create contacts, start calls, log outcomes, and schedule callbacks and meetings.

That means you can run outbound from the tools you already use — ChatGPT, Claude, any MCP-compatible agent, or the command line — instead of clicking through screens. The AI prepares the work; you make the human calls.

Watch an AI agent run Ringee

An auto-playing demo of an AI agent driving Ringee over MCP — searching contacts, creating a call session, and logging the outcome.

Who it’s for

  • Operators who live in ChatGPT or Claude
  • Developers who want scriptable outbound
  • Lean teams automating repetitive prep
  • Builders connecting agents to real calling

Benefits

  • Less manual prep before and after calls
  • Run outbound from the tools you already use
  • Scriptable, repeatable workflows
  • Safety rules guard sensitive and destructive actions

How it works

  1. 1

    Connect an agent

    Point ChatGPT, Claude, an MCP-compatible agent, or the CLI at your Ringee workspace.

  2. 2

    Describe the goal

    Ask the agent to prospect, build a list, or queue a calling session, and it uses Ringee’s tools to do it.

  3. 3

    Keep humans on the calls

    The agent handles prep and follow-up; calls are sent to your devices for a person to take.

Frequently asked questions

Does AI place the calls for me?

No. Ringee’s automation prepares the work and sends a call to your active device — a person still takes the conversation. This keeps your outbound human.

What can agents actually do?

Through the MCP server, agents can search and import leads, create and update contacts, start calls, log outcomes, and schedule callbacks and meetings, with guardrails on sensitive actions.

Which tools are supported?

ChatGPT, Claude, any MCP-compatible agent, and CLI workflows can drive Ringee.

Start calling more leads today

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