Places AI-assisted phone calls to businesses, navigates menus, speaks with staff, and returns outcomes and transcripts.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
Clients with native remote MCP support can connect directly to this URL instead of the install method above.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Call4me.
The call4me MCP server gives an AI agent access to real outbound phone calls. An agent can ask it to contact a business, make a reservation, arrange an appointment, cancel a subscription, or ask a question. The service handles waiting on hold, responding to phone menus, and talking with the person who answers. After the call, it reports the result and provides a transcript.
The service can also ring the user so they can join a call. Calls use prepaid credits: loads start at $10, and the default arrangement reloads the same amount monthly through Stripe.
The hosted MCP endpoint is https://call4.me/mcp and uses streamable HTTP. The agent authenticates through a browser with Google or X, or uses an account key from the call4me account page. In an agent workflow, the model supplies the requested call objective and the MCP service starts and manages the call.
The call path uses Telnyx for telephony and media streaming. A voice session exchanges audio with OpenAI GPT-Live, while a separate back-office model can use functions such as ending the call, asking the user for input, and sending keypad digits. Menu recovery can respond to repeated menus, invalid input, and recorded instructions after the prompt becomes quiet.
The call4me MCP server also exposes recording retrieval through call4me_get_recordings({ call_id }). Results are fresh download links subject to account ownership and may be empty while processing is pending or when no recording was saved.
For the hosted service, add https://call4.me/mcp as an MCP server or custom connector. Claude Code and Codex provide command-line setup and login flows; Cursor can use a ~/.cursor/mcp.json entry. Claude Desktop, Claude.ai, and ChatGPT can add the endpoint through settings and connectors. An API key can be sent as a bearer token or included in the endpoint path.
Applications can use the call4me-ai-sdk package with the Vercel AI SDK. The documented installation includes call4me-ai-sdk, ai, zod, and @ai-sdk/openai; application code supplies CALL4ME_API_KEY and passes call4meTools() to the agent.
A self-hosted deployment requires Telnyx Call Control configuration, an OpenAI API key with GPT-Live access, and Stripe webhook handling. Telnyx needs a connection ID, API key, webhook URL, and webhook public key. Each account's number is purchased on its first call and attached to the Telnyx application.
Calls consume prepaid credits, with the maximum expected cost held before dialing and the final charge settled against actual talk time. A call made from the user's own verified number only reaches businesses in that number's country, and the user is still called from a call4me number.
The application does not request recording when dialing or answering. Existing Telnyx recordings may nevertheless be available after the call, and recording links can expire. Empty recording results can indicate delayed processing or that no recording was saved.
The hosted workflow depends on account authentication and provider availability. Self-hosting also requires managing Telnyx, OpenAI, Stripe, and the deployment configuration described above.
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