How to Use the Voiceflow MCP in Claude

Q: How do I search with Voiceflow and Claude Desktop?

You can list available projects using listprojects. Your AI client calls this tool, giving you a full directory of the conversational agents built in Voiceflow.

Q: Where is the conversation state data for Voiceflow and Claude Desktop?

The server handles user variables via getstate and savestate. These tools manage the runtime context, allowing your agent to reference specific details about the current session.

Q: Does the MCP Server help with debugging Voiceflow and Claude Desktop?

Yes. You can use getfeedback alongside transcript retrieval to understand why an interaction failed or what the user found confusing about the agent's response.

Q: Can I view project details in Voiceflow and Claude Desktop?

You absolutely can. The getproject tool allows your AI client to pull all necessary metadata on a specific Voiceflow agent, giving you context before running any queries.

Build and manage complex conversational agents in Claude Desktop.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Voiceflow MCP to Claude Desktop

Create your Vinkius account to connect Voiceflow to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Voiceflow with Claude Desktop

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage Conversation States

Need to track where a user is in the flow? Use `get_state` to read the current conversation state, or `save_state` to write new variables. This lets your agent remember details like user IDs or preferences across multiple turns. It's critical for complex flows; you can also reset the entire session with `delete_state` if things get messy.

Query Knowledge Bases

Your AI client needs to answer questions using company data. The `list_kb_docs` tool shows what knowledge base content is available, and `query_kb` lets your agent ask specific questions against that data. This capability prevents generic answers. Instead of guessing, the agent retrieves accurate information from structured documentation.

Monitor Conversation History

Want to review what actually happened? Use `list_transcripts` and `get_transcript` to pull full conversation logs. You can also get specific user feedback using the `get_feedback` tool. This gives your agent client visibility, letting you debug or report on past interactions.

Setup guide

Set up Voiceflow MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Voiceflow MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Voiceflow MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under voiceflow-mcp.

json

{
  "mcpServers": {
    "voiceflow-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Voiceflow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Voiceflow now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Voiceflow MCP in Claude Desktop

You can list available projects using `list_projects`. Your AI client calls this tool, giving you a full directory of the conversational agents built in Voiceflow.

The server handles user variables via `get_state` and `save_state`. These tools manage the runtime context, allowing your agent to reference specific details about the current session.

It primarily handles conversation transcripts, project metadata, user states, and knowledge base content. Essentially, it manages everything related to a structured dialogue flow.

Yes. You can use `get_feedback` alongside transcript retrieval to understand why an interaction failed or what the user found confusing about the agent's response.

You absolutely can. The `get_project` tool allows your AI client to pull all necessary metadata on a specific Voiceflow agent, giving you context before running any queries.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript