MCP Vapi Caller
Used as the default text-to-speech provider for generating natural-sounding voice output in phone calls.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Vapi CallerCall +33142000000 and book a haircut for next Tuesday afternoon."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Vapi Caller
MCP server that lets Claude make AI-powered outbound phone calls via Vapi. Works with any type of call — customer service, sales, surveys, scheduling, etc. — in any language.
How It Works
Claude → make_call(phone, goal, script) → Vapi API → AI voice agent calls the number
Claude → get_call_result(call_id) → transcript, summary, structured data, recordingThe caller (Claude) provides domain-specific building blocks — goal, script, caller identity. The server wraps them in a voice-optimized system prompt (language enforcement, natural-speech style, goodbye handling) and sends the call to Vapi.
Related MCP server: Vapi MCP Server
Tools
make_call
Initiate an outbound call. Required parameters:
phone_number— E.164 format (e.g.+33142000000)call_goal— What the call should achieve (one sentence, used for automatic success evaluation)call_script— Behavioral instructions for the voice agent
Optional: language, caller_name, caller_context, first_message, structured_data_schema, structured_data_prompt, end_call_phrases, voice_id, customer_name, system_prompt_override.
Returns a call_id.
get_call_result
Poll for the call outcome. Pass wait_seconds (e.g. 180) to poll every 5s until the call ends. Returns status, transcript, AI summary, success evaluation, structured extracted data, and recording URL.
Supported Languages
Built-in voice tuning (end-call phrases, goodbye rules, natural-speech style) for: French (fr, default), English (en), Spanish (es), German (de), Italian (it), Portuguese (pt). Any other BCP-47 code still works — it falls back to English conversation rules while instructing the agent to speak the requested language.
Setup
1. Prerequisites
uv — Python package manager (
curl -LsSf https://astral.sh/uv/install.sh | sh)A Vapi account
An ElevenLabs voice ID (Vapi's default TTS provider here)
2. Get Vapi credentials
From the Vapi dashboard:
API key → Settings → API Keys
Phone number ID → Phone Numbers. Buy a Vapi number or import a Twilio one, then copy its ID (a UUID, not the phone number itself).
Pick a voice ID from the ElevenLabs voice library.
3. Install
git clone git@github.com:sebastienfi/mcp-vapi-generic-caller.git
cd mcp-vapi-generic-caller
uv sync4. Configure secrets
Create ~/.config/mcp/secrets.env (and chmod 600 it):
VAPI_API_KEY=your-vapi-api-key
VAPI_PHONE_NUMBER_ID=your-phone-number-id
VAPI_VOICE_ID=your-elevenlabs-voice-idThese three are required. See .env.example for all optional variables (default language, caller name, LLM provider/model, voice tuning).
5. Run (optional smoke test)
uv run python server.py # stdio transport; Ctrl-C to stop
# or, using PEP 723 inline metadata:
uv run --script server.pyThe server communicates over stdio and is normally launched by Claude, not run manually — this just confirms it starts without errors.
6. Register with Claude
Claude Code
Add to ~/.claude.json under mcpServers:
{
"mcpServers": {
"vapi-caller": {
"command": "/bin/bash",
"args": ["-c", "set -a; source ~/.config/mcp/secrets.env; set +a; exec uv run --directory /path/to/mcp-vapi-generic-caller python server.py"]
}
}
}Replace /path/to/mcp-vapi-generic-caller with the absolute clone path. Restart Claude Code and verify with /mcp — vapi-caller should list two tools.
Claude Desktop
Add the same block to claude_desktop_config.json
(macOS: ~/Library/Application Support/Claude/claude_desktop_config.json).
Use absolute paths for both bash and uv (e.g. /opt/homebrew/bin/uv) — Claude Desktop is an Electron app and does not inherit your shell PATH. The source secrets.env wrapper is what makes env vars available at runtime.
Usage Example
You: Call +33142000000 and book a haircut for next Tuesday afternoon.
My name is Jean Dupont.
Claude: [make_call with goal, script, language="fr"]
Call initiated, waiting for result...
[get_call_result(call_id=..., wait_seconds=180)]
The salon confirmed a haircut appointment for Tuesday at 15:00
with stylist Marie. Recording: [link]Docker (HTTP / cloud deployment)
For non-local deployments, run the server over Streamable HTTP instead of stdio:
cp .env.example .env # fill in your secrets
docker compose up --buildThis exposes the MCP server on http://localhost:8000 (MCP_TRANSPORT=streamable-http). Point an HTTP-capable MCP client at it. For local Claude Code/Desktop use, the stdio setup above is simpler.
Environment Variables
Variable | Required | Default | Description |
| ✅ | — | Vapi API key |
| ✅ | — | Vapi phone number ID (UUID) |
| ✅ | — | ElevenLabs voice ID |
|
| Default BCP-47 call language | |
| — | Who the agent calls on behalf of | |
|
| Vapi LLM provider | |
|
| LLM model (validated against Vapi's Anthropic list) | |
|
| TTS provider | |
|
| ElevenLabs TTS model | |
|
| Voice stability (0.0–1.0) | |
|
| Voice similarity boost (0.0–1.0) | |
|
| Speech speed | |
|
|
|
Project Structure
server.py # MCP server (single file, PEP 723 inline metadata)
pyproject.toml # Project metadata & dependencies
uv.lock # Locked dependency versions
.env.example # Environment variable template
Dockerfile # Multi-stage Docker build
docker-compose.yml # HTTP/cloud deployment
CLAUDE.md # Claude Code guidanceNo test suite or linter is configured.
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