How to Use the Voiceflow MCP in Cline

Q: How do I test Voiceflow logic using Cline?

You can simulate a user flow by calling interact with a specific message. After the agent responds, you immediately run getstate to confirm that all internal variables changed exactly how your component expected them.

Q: Can Voiceflow and Cline retrieve knowledge base data for coding?

Yes. You use querykb to ask the Knowledge Base a question, which returns structured text data. Your code then takes this output and uses it as input to generate components or write documentation.

Q: What is the workflow for Voiceflow and Cline when listing projects?

You run listprojects first. This gives you a list of all active agents, allowing your script to loop through them. You then pass those project IDs into other tools that require context.

Execute complex, end-to-end tasks with Voiceflow using Cline.

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 Cline

Create your Vinkius account to connect Voiceflow to Cline 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 Cline

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build components from conversation data.

If an agent generates useful text, you can use that data immediately. Check the full details of a conversation with `get_transcript` to pull out content. Then, you can build code components based on that output directly within Cline.

Audit and manage conversational projects.

Before coding, verify what exists using `list_projects`. You can also list all available knowledge base documents with `list_kb_docs` to ensure your code is referencing the right source material. This keeps your project scope tight.

Simulate agent interactions for testing.

Test your component logic by simulating user input. You can call `interact` to send a mock message, and then use `get_state` afterward to verify that the conversation variables updated correctly in response to that input.

Setup guide

Set up Voiceflow MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type voiceflow-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Voiceflow refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "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 Cline

You can simulate a user flow by calling `interact` with a specific message. After the agent responds, you immediately run `get_state` to confirm that all internal variables changed exactly how your component expected them.

Yes. You use `query_kb` to ask the Knowledge Base a question, which returns structured text data. Your code then takes this output and uses it as input to generate components or write documentation.

You run `list_projects` first. This gives you a list of all active agents, allowing your script to loop through them. You then pass those project IDs into other tools that require context.

You can get historical data in two ways: listing transcripts with `list_transcripts`, or getting the raw details of a single session using `get_transcript`. This is perfect for debugging complex flows.

The server touches conversational state variables, which you can view with `get_state`. It also accesses the textual content of knowledge base documents via `query_kb`.

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