leximo-ai-call-assistant-mcp-server
An MCP server that lets you schedule AI phone calls and manage Leximo assignments directly from Claude Desktop or Claude Code.
README
Leximo AI Call Assistant — MCP Server
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.
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
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"
}
}
}
}
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
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 |
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?"
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.
License
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