How to Use the Bland AI MCP in Cline

Q: Can Cline analyze active Bland AI calls?

Yes, Cline uses the analyzecall tool to interrogate active recordings and check if the call met its goal. This lets Cline verify if a customer responded correctly during testing.

Q: Can I manage inbound phone numbers with this setup?

Yes, the listinbound tool allows you to see all active phone numbers bridged to your voice agents. Cline can read this list to map incoming calls to specific customer accounts.

Q: Can I fetch audio recordings using Cline?

Yes, Cline calls getrecording to fetch the raw MP3 or WAV links for any completed call. It can then download the audio files or pass them to other tools in your workspace.

Let Cline build dashboard integrations and trigger Bland AI voice agents directly inside your VS Code workspace.

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Connect Bland AI MCP to Cline

Create your Vinkius account to connect Bland AI 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.

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Setup Bland AI with Cline

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Build voice agent tools with this Cline MCP Server

`send_call` gives Cline the ability to trigger automated voice agents to any phone number. Cline writes the integration code, runs the tool, and verifies the call status in one pass. Because Cline acts autonomously, it can write a custom Webhook handler, deploy it, and then call `send_call` to test the entire notification pipeline without your manual intervention.

Extract call data and write files automatically

`get_call_details` pulls the exact transcript and variables from completed voice calls. Cline uses this tool to read what happened during a conversation and write the data directly into your local database files. You don't need to copy-paste call logs. Cline runs the tool, analyzes the transcript, writes a summary markdown file, and stages the commit in your repository.

Connect WebRTC streams directly to your local code

`create_web_call` opens a live WebRTC signaling socket stream for browser-based voice agents. Cline configures this stream, embeds the connection logic into your frontend code, and runs the local server to test it. Instead of reading docs to figure out Bland's WebRTC implementation, Cline uses this tool to get the active socket logic and writes the exact JavaScript code needed to handle the audio stream.

Setup guide

Set up Bland AI 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 bland-ai-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 Bland AI 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": {
    "bland-ai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bland AI. 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.

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Common questions about Bland AI MCP in Cline

Open the Cline sidebar, click the MCP Servers icon, and use the Marketplace tab for a one-click install. You can also manually add the server URL to your `cline_mcp_settings.json` file under the `mcpServers` key.

Yes, Cline uses the `analyze_call` tool to interrogate active recordings and check if the call met its goal. This lets Cline verify if a customer responded correctly during testing.

Yes, the `list_inbound` tool allows you to see all active phone numbers bridged to your voice agents. Cline can read this list to map incoming calls to specific customer accounts.

Yes, Cline calls `get_recording` to fetch the raw MP3 or WAV links for any completed call. It can then download the audio files or pass them to other tools in your workspace.

This MCP Server handles your phone numbers and audio files through a zero-trust, ephemeral connection. The server decrypts your credentials only during tool execution, ensuring no transcript data remains cached on external systems.

Use it with your favorite AI tools

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

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