Retell AI MCP Server for CursorGive Cursor instant access to 11 tools to Create Voice Agent, Get Agent Config, Get Call Details, 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 Retell AI app connector for Cursor is a standout in the Industry Titans category — giving your AI agent 11 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 Retell AI and 3,400+ MCP Servers from a single visual interface.
{
"mcpServers": {
"retell-ai-alternative": {
"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 Retell AI MCP Server
Connect your Retell AI account to any AI agent and take full control of your conversational voice orchestration through natural conversation. Retell AI provides a premier platform for building human-like voice agents, and this integration allows you to create agents, initiate phone or web calls, and monitor LLM configurations directly from your chat interface.
Cursor's Agent mode turns Retell AI into an in-editor superpower. Ask Cursor to generate code using live data from Retell AI and it fetches, processes, and writes. all in a single agentic loop. 11 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Agent & Persona Orchestration — List all managed voice agents and retrieve detailed persona metadata, including creating new agents programmatically.
- Call Lifecycle Management — Initiate and monitor real-time phone or web calls and retrieve detailed call metadata including recordings and transcripts directly from the AI interface.
- LLM & Brain Control — Access and monitor your Retell LLM configurations to ensure your agents always have the correct logic and knowledge via natural language.
- Phone Number Intelligence — List available phone numbers to maintain a clear overview of your telephony infrastructure.
- Operational Monitoring — Track system responses and manage agent settings using simple AI commands to ensure your voice operations are always optimized.
The Retell AI MCP Server exposes 11 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 11 Retell AI tools available for Cursor
When Cursor connects to Retell AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning voice-ai, conversational-ai, telephony, 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 new AI voice agent
Get details for a voice agent
Get details and transcript for a call
Get metadata for a response engine
Get details for a specific phone number
List call logs and history
List internal response engines
List registered phone numbers
List all AI voice agents
Initiate an outbound phone call
Initialize a browser-based call
Connect Retell AI to Cursor via MCP
Follow these steps to wire Retell AI 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 Retell AI
Why Use Cursor with the Retell AI MCP Server
Cursor AI Code Editor provides unique advantages when paired with Retell AI 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
Retell AI + Cursor Use Cases
Practical scenarios where Cursor combined with the Retell AI 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 Retell AI in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Retell AI immediately.
"List all my voice agents in Retell AI."
"Show me all AI voice agents and their call statistics from the last 7 days."
"Create a new outbound phone call using the Sales Qualifier agent to contact a prospect."
Troubleshooting Retell AI MCP Server with Cursor
Common issues when connecting Retell AI to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Retell AI + Cursor FAQ
Common questions about integrating Retell AI 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.