# MCP Server

The MCP (Model Context Protocol) server lets any MCP-compatible AI assistant control the Hold Slayer gateway. Built with [FastMCP](https://github.com/jlowin/fastmcp), it exposes tools and resources over SSE.

## Overview

An AI assistant connects via SSE to the MCP server and gains access to tools for placing calls, checking status, sending DTMF, getting transcripts, and managing call flows. The assistant can orchestrate an entire call through natural language.

## Tools

### make_call

Place an outbound call through the SIP trunk.

| Param | Type | Required | Description |
|-------|------|----------|-------------|
| `number` | string | Yes | Phone number to call (E.164 format) |
| `mode` | string | No | Call mode: `direct`, `hold_slayer`, `ai_assisted` (default: `hold_slayer`) |
| `intent` | string | No | What you want to accomplish on the call |
| `call_flow_id` | string | No | ID of a stored call flow to follow |

Returns: Call ID and initial status.

### end_call

Hang up an active call.

| Param | Type | Required | Description |
|-------|------|----------|-------------|
| `call_id` | string | Yes | The call to hang up |

### send_dtmf

Send touch-tone digits to an active call (for manual IVR navigation).

| Param | Type | Required | Description |
|-------|------|----------|-------------|
| `call_id` | string | Yes | The call to send digits to |
| `digits` | string | Yes | DTMF digits to send (e.g., "1", "3#", "1234") |

### get_call_status

Check the current state of a call.

| Param | Type | Required | Description |
|-------|------|----------|-------------|
| `call_id` | string | Yes | The call to check |

Returns: Status, duration, hold time, audio classification, transcript excerpt.

### get_call_transcript

Get the live transcript of a call.

| Param | Type | Required | Description |
|-------|------|----------|-------------|
| `call_id` | string | Yes | The call to get transcript for |

Returns: Array of transcript chunks with timestamps and speaker labels.

### get_call_recording

Get recording metadata and file path for a call.

| Param | Type | Required | Description |
|-------|------|----------|-------------|
| `call_id` | string | Yes | The call to get recording for |

Returns: Recording path, duration, file size.

### list_active_calls

List all calls currently in progress. No parameters.

Returns: Array of active calls with status, number, duration.

### get_call_summary

Get analytics summary — hold times, success rates, call volume. No parameters.

Returns: Aggregate statistics across all calls.

### search_call_history

Search past calls by number, company, or date range.

| Param | Type | Required | Description |
|-------|------|----------|-------------|
| `query` | string | Yes | Search term (phone number, company name) |
| `limit` | int | No | Max results (default: 20) |

### learn_call_flow

Build a reusable call flow from a completed exploration call.

| Param | Type | Required | Description |
|-------|------|----------|-------------|
| `call_id` | string | Yes | The exploration call to learn from |
| `company` | string | No | Company name for the flow |

Returns: The generated CallFlow object.

## Resources

MCP resources provide read-only data that assistants can reference:

| Resource URI | Description |
|-------------|-------------|
| `gateway://status` | Current gateway status — trunk registration, active calls, service health |
| `gateway://calls` | List of all active calls with current status |
| `gateway://calls/{call_id}` | Detailed status for a specific call |
| `gateway://flows` | List of all stored call flows |
| `gateway://analytics` | Call analytics summary |

## Configuration

The MCP server is mounted on the FastAPI app at `/mcp`.

### Connecting an AI Assistant

Add to your MCP client configuration (e.g., Claude Desktop, Cline):

```json
{
  "mcpServers": {
    "hold-slayer": {
      "url": "http://localhost:8000/mcp/sse"
    }
  }
}
```

## Example Conversation

Here is how an AI assistant would use the MCP tools to handle a complete call:

**User:** "Call Chase Bank and dispute the Amazon charge from December 15th"

**Assistant actions:**

1. Calls `make_call(number="+18005551234", mode="hold_slayer", intent="dispute Amazon charge Dec 15th", call_flow_id="chase-bank-main")`
2. Receives `call_id: "call_abc123"`
3. Polls `get_call_status("call_abc123")` periodically
4. Status progression: `trying` → `ringing` → `connected` → `on_hold`
5. Tells user: "I'm on hold with Chase Bank. Currently 4 minutes in. I'll let you know when someone picks up."
6. Status changes to `transferring` — human detected!
7. Tells user: "A live agent just picked up. I'm transferring the call to your desk phone now. Pick up!"
8. After the call, calls `learn_call_flow("call_abc123", company="Chase Bank")` to save the IVR path for next time.

**User:** "How long was I on hold?"

**Assistant actions:**

1. Calls `get_call_summary()`
2. Reports: "Your Chase Bank call lasted 12 minutes total, with 8 minutes on hold. The disputes department averages 6 minutes hold time on Tuesdays."