Leximo AI Call Assistant — MCP Server

![npm version](https://www.npmjs.com/package/leximo-ai-call-assistant-mcp-server) ![Node >=18](https://nodejs.org) ![MCP](https://modelcontextprotocol.io) ![License: MIT](LICENSE)

An MCP (Model Context Protocol) server that lets you schedule AI phone calls and manage Leximo assignments directly from Claude Desktop or Claude Code — no app switching needed.

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Quick Install

Claude Code (one command)

claude mcp add leximo -e LEXIMO_API_TOKEN=your-token -- npx -y leximo-ai-call-assistant-mcp-server

Replace your-token with your API token from concierge.leximo.ai/profile.

Claude Code (plugin marketplace)

/plugin marketplace add leximo-ai/leximo-ai-call-assistant-mcp-server

Then install the plugin:

/plugin install leximo-ai-call-assistant

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Manual Setup

1. Get your API token

Go to concierge.leximo.ai and sign in
Open your profile page
Copy your JWT access token

2. Configure Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "leximo": {
      "command": "npx",
      "args": ["-y", "leximo-ai-call-assistant-mcp-server"],
      "env": {
        "LEXIMO_API_TOKEN": "your-token"
      }
    }
  }
}

3. Configure Claude Code (manual)

Add to your Claude Code MCP settings:

{
  "mcpServers": {
    "leximo": {
      "command": "npx",
      "args": ["-y", "leximo-ai-call-assistant-mcp-server"],
      "env": {
        "LEXIMO_API_TOKEN": "your-token"
      }
    }
  }
}

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Features

Assignments — Create, list, view, and delete AI phone call assignments
AI Agents — Browse available calling agents and pick the right one
Task Proposals — Get AI-generated improvements for your call instructions
Credits — Check your credit balance and usage history
Subscriptions — View your plan, browse available plans, and subscribe
Notifications — View call completion events and system notifications

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Available Tools

| Tool | Description | |------|-------------| | get_profile | Get your user profile and account details | | get_credits | Check credit balance, usage history, and subscription summary | | get_subscription | View active subscription details | | get_plans | List available subscription plans with pricing | | create_checkout_session | Get a checkout URL to subscribe to a plan | | list_agents | List available AI calling agents | | get_agent | Get details of a specific agent | | list_assignments | List all your assignments (paginated) | | get_assignment | View a specific assignment with results and transcript | | create_assignment | Create a new phone call assignment | | delete_assignment | Delete an assignment | | get_assignment_proposals | Get AI suggestions to improve your task description | | list_notifications | Get call completion events and notifications |

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Example Prompts

Once configured, ask Claude things like:

_"Show me my Leximo assignments"_
_"Create a call to +1234567890 to book a restaurant for 2 at 7pm Friday"_
_"How many credits do I have left?"_
_"What subscription plans are available?"_
_"Show me the transcript from my last call"_
_"What agents are available and which one is best for restaurant bookings?"_

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Development

npm install
npm run build      # Compile TypeScript
npm start          # Run compiled server
npm run dev        # Run with tsx (hot reload)

Test with MCP Inspector

LEXIMO_API_TOKEN=your-token npx @modelcontextprotocol/inspector node dist/index.js

Environment Variables

| Variable | Required | Description | |----------|----------|-------------| | LEXIMO_API_TOKEN | Yes | JWT token from concierge.leximo.ai/profile |

Copy .env.example to .env for local development.

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leximo-ai-call-assistant-mcp-server