Bring Conversational Ai
to Cursor
Learn how to connect Voiceflow to Cursor and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your Voiceflow API Key and Version ID
3. Start managing your conversational ecosystem from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Conversation Designers — quickly test agent responses and query the knowledge base via simple AI commands.
- AI Developers — debug user states and inspect transcripts during the development and testing cycle.
- Product Managers — monitor user feedback and conversation logs directly from the workspace.
Built-in capabilities (12)
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
Why Cursor?
Cursor's Agent mode turns Voiceflow into an in-editor superpower. Ask Cursor to generate code using live data from Voiceflow and it fetches, processes, and writes. all in a single agentic loop. 12 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
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Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
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MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
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VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Voiceflow in Cursor
Voiceflow and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Voiceflow to Cursor through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Voiceflow in Cursor
The Voiceflow 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Cursor only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Voiceflow for Cursor
Every tool call from Cursor to the Voiceflow MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I query my Voiceflow Knowledge Base directly via AI?
Yes! Use the query_kb tool with your question. Your agent will trigger the Voiceflow RAG system and return the answer based on your uploaded documents.
How do I see the transcripts for a specific project?
Run the list_transcripts query with your Project ID. The agent will return a list of past conversation logs, which you can then inspect using get_transcript.
Is it possible to reset a user's session via AI?
Absolutely. Use the delete_state tool and provide the User ID. This will permanently clear the conversation history and variables for that specific session.
What is Agent mode and why does it matter for MCP?
Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
Where does Cursor store MCP configuration?
Cursor looks for MCP server configurations in a 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.
Can Cursor use MCP tools in inline edits?
No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
How do I verify MCP tools are loaded?
Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.
Tools not appearing in Cursor
Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
Server shows as disconnected
Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.