Voiceflow MCP Server for WindsurfGive Windsurf instant access to 12 tools to Delete State, Get Feedback, Get Project, and more
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Voiceflow 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 App Connector for Windsurf
The Voiceflow app connector for Windsurf is a standout in the Industry Titans category — giving your AI agent 12 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 Voiceflow and 3,400+ MCP Servers from a single visual interface.




{
"mcpServers": {
"voiceflow": {
"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 Voiceflow MCP Server
Connect your Voiceflow account to any AI agent and simplify how you build, test, and monitor your conversational assistants through natural language conversation.
Windsurf's Cascade agent chains multiple Voiceflow tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 12 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Agent Interaction — Send messages and trigger actions in your Voiceflow agents to test responses and flows instantly.
- Knowledge Base (RAG) Control — Query your agent's KB directly for answers and list uploaded documents and tags.
- State Management — Retrieve, update, or reset user conversation states and variables to debug complex logic.
- Transcript Analysis — List and fetch full conversation logs for any project to monitor user interactions.
- Operational Monitoring — Retrieve user feedback (upvotes/downvotes) and monitor project configurations in real-time.
The Voiceflow MCP Server exposes 12 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.
All 12 Voiceflow tools available for Windsurf
When Windsurf connects to Voiceflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversational-ai, chatbot-design, rag-pipeline, 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.
Reset user session
Get user feedback
Get project details
Get user conversation state
Get transcript details
Send message to Voiceflow agent
List KB documents
List KB document tags
List Voiceflow projects
List conversation transcripts
Ask the Knowledge Base
Update user state/variables
Connect Voiceflow to Windsurf via MCP
Follow these steps to wire Voiceflow into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Open MCP Settings
Cmd+Shift+P and search "MCP"Add the server
mcp_config.jsonSave and reload
Start using Voiceflow
Why Use Windsurf with the Voiceflow MCP Server
Windsurf provides unique advantages when paired with Voiceflow 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 12 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Voiceflow + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Voiceflow MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Voiceflow and generate models, types, or handlers based on real API responses
Live debugging: query Voiceflow tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Voiceflow and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Voiceflow data with Cascade's code generation to scaffold entire features in minutes
Example Prompts for Voiceflow in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Voiceflow immediately.
"List all my Voiceflow projects."
"Ask my KB: 'What is the return policy for international orders?'"
"Show me the last 3 transcripts for the 'Customer Support Bot'."
Troubleshooting Voiceflow MCP Server with Windsurf
Common issues when connecting Voiceflow to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Voiceflow + Windsurf FAQ
Common questions about integrating Voiceflow 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.