AI Receptionist MCP Server for CursorGive Cursor instant access to 10 tools to Create Aireceptionist Booking, Create Aireceptionist Conversation, Get Aireceptionist Analytics, and more
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
Ask AI about this App Connector for Cursor
The AI Receptionist app connector for Cursor is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install AI Receptionist and 3,400+ MCP Servers from a single visual interface.
{
"mcpServers": {
"ai-receptionist": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About AI Receptionist MCP Server
Connect your AI Receptionist account to any AI agent and take full control of your automated customer engagement and front-desk workflows through natural conversation.
Cursor's Agent mode turns AI Receptionist into an in-editor superpower. Ask Cursor to generate code using live data from AI Receptionist and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Conversation Orchestration — List and monitor inbound and outbound AI voice or chat interactions programmatically, retrieving complete high-fidelity transcripts and operational metadata in real-time
- Booking & Appointment Intelligence — Access your complete directory of active appointments and programmatically create or manage bookings to maintain a perfectly coordinated schedule
- Knowledge Base Discovery — Access and monitor your organizational business rules and FAQs (Knowledge Base) to coordinate how your AI receptionist interacts with clients
- Lead & Performance Intelligence — Retrieve high-fidelity analytics on lead capture and interaction performance directly through your agent for instant operational reporting
- Infrastructure Monitoring — Verify API connectivity, access account metadata, and monitor active webhooks to maintain a perfectly coordinated communication ecosystem
The AI Receptionist MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 AI Receptionist tools available for Cursor
When Cursor connects to AI Receptionist through Vinkius, your AI agent gets direct access to every tool listed below — spanning aireceptionist, ai-voice-api, call-transcripts, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a booking
Create a new conversation
Get performance analytics
Get booking details
Get conversation details
Get current user profile
List active bookings
List AI conversations
List knowledge base articles
List active webhooks
Connect AI Receptionist to Cursor via MCP
Follow these steps to wire AI Receptionist into Cursor. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Open MCP Settings
Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"Add the server config
mcp.json file that opensSave the file
Start using AI Receptionist
Why Use Cursor with the AI Receptionist MCP Server
Cursor AI Code Editor provides unique advantages when paired with AI Receptionist through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
AI Receptionist + Cursor Use Cases
Practical scenarios where Cursor combined with the AI Receptionist MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Example Prompts for AI Receptionist in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with AI Receptionist immediately.
"List the last 5 conversations handled by the AI Receptionist."
"Show my active bookings for the next 7 days."
"Get the transcript for conversation ID '9283'."
Troubleshooting AI Receptionist MCP Server with Cursor
Common issues when connecting AI Receptionist to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
AI Receptionist + Cursor FAQ
Common questions about integrating AI Receptionist MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.