Bring Conversational Ai
to Claude Code
Learn how to connect Voiceflow to Claude Code 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 Claude Code?
Claude Code registers Voiceflow as an MCP server in a single terminal command. Once connected, Claude Code discovers all 12 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Voiceflow data drives decisions without human intervention.
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Single-command setup:
claude mcp addregisters the server instantly. no config files to edit or applications to restart - —
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
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Claude Code runs headlessly, enabling unattended batch processing using Voiceflow tools in cron jobs or deployment scripts
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Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Voiceflow in Claude Code
Voiceflow and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Voiceflow to Claude Code 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 Claude Code
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 Claude Code 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 Claude Code
Every tool call from Claude Code 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.
How do I add an MCP server to Claude Code?
Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.
Can Claude Code run MCP tools in headless mode?
Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
How do I list all connected MCP servers?
Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.
Command not found: claude
Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
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