Retell AI MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Retell AI through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Retell AI and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"retell-ai": {
"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 conversational assistant directly to Retell AI, a powerful platform for building voice-driven conversational agents. Empower your AI to orchestrate, analyze, and automate phone calls or web-based voice interactions seamlessly via simple text commands. From provisioning intelligent voice agents to placing outbound calls to customers, this integration brings the full telecommunication stack directly to your chat interface.
Windsurf's Cascade agent chains multiple Retell AI tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Automate Phone Calls — Command your assistant to initiate outbound voice interactions on your behalf (
create_phone_call) or register active sessions for web browser integration (register_web_call). - Build and Manage Voice Agents — Dynamically orchestrate AI agent personalities (
create_agent,update_agent) and configure their underlying conversational brain (create_llm) with specific system instructions and models. - Analyze Telemetry — Keep track of your infrastructure by querying historical call logs (
list_calls), investigating specific conversations for transcripts and sentiment analysis (get_call_details), surveying available text-to-speech voices (list_voices), and reviewing provisioned communication lines (list_phone_numbersandlist_agents).
The Retell AI MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Retell AI to Windsurf via MCP
Follow these steps to integrate the Retell AI MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Retell AI
Open Cascade and ask: "Using Retell AI, help me...". 10 tools available
Why Use Windsurf with the Retell AI MCP Server
Windsurf provides unique advantages when paired with Retell AI through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Retell AI + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Retell AI MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Retell AI and generate models, types, or handlers based on real API responses
Live debugging: query Retell AI tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Retell AI and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Retell AI data with Cascade's code generation to scaffold entire features in minutes
Retell AI MCP Tools for Windsurf (10)
These 10 tools become available when you connect Retell AI to Windsurf via MCP:
create_agent
Creates a new AI voice agent
create_llm
Configures a Retell-hosted LLM
create_phone_call
Provide a JSON payload with "from_number" and "to_number". Initiates an outbound phone call
get_call_details
Retrieves details for a specific call
list_agents
Lists all configured AI voice agents
list_calls
Lists all historical and active calls
list_phone_numbers
Lists all phone numbers associated with the account
list_voices
Lists all available text-to-speech voices
register_web_call
Registers a new web-based call
update_agent
Updates an existing AI voice agent
Example Prompts for Retell AI in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Retell AI immediately.
"Can you show me the transcripts for call ID `c_f3a123`?"
"List all available agents I can use."
"We are testing out new numbers. Please use 'from_number' `+18005551234` and dial `+14085551234` assigning my 'agent_555'."
Troubleshooting Retell AI MCP Server with Windsurf
Common issues when connecting Retell AI to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Retell AI + Windsurf FAQ
Common questions about integrating Retell AI MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Retell AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Retell AI to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.