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How to Use the Bland AI MCP in Windsurf

Let Cascade trigger Bland AI phone calls, analyze transcripts, and manage voice agents directly inside your Windsurf IDE.

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…and any MCP-compatible client

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Windsurf

Connect Bland AI MCP to Windsurf

Create your Vinkius account to connect Bland AI to Windsurf 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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Trigger phone calls directly from Windsurf Cascade

`send_call` lets Windsurf trigger automated phone calls directly to any number. Cascade plans the call, feeds in the parameters, and initiates the dialer while you watch. You do not have to write manual API requests for Bland AI. Windsurf reads your context, grabs the target phone number, and runs `send_call` to start the conversation immediately.

Analyze live Bland AI calls inside Windsurf

`analyze_call` allows Cascade to query active recordings to see if your phone agent met its specific goal. The server pulls real-time transcript data so Windsurf can verify user responses on the fly. This MCP Server integration lets your IDE react to phone call outcomes. If a customer hangs up or agrees to a deal, Windsurf detects the status and updates your local codebase or database files based on the call state.

Manage bulk phone campaigns with Cascade

`send_batch` lets you spin up thousands of automated calls simultaneously. Cascade coordinates the batch, sends the payload, and uses `get_batch` to monitor the run progress. Instead of writing custom scripts to handle API limits, you give Windsurf a list of leads. Cascade splits the list, executes the batch tool, and reports the success rate directly in your editor.

Setup guide

Set up Bland AI MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 2

    Add the Bland AI MCP

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

  3. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my Bland AI payment history." If connected, Cascade will call the Bland AI tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "bland-ai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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.

Why Choose Vinkius

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

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 Bland AI MCP in Windsurf

To add the Bland AI server, open your `~/.codeium/windsurf/mcp_config.json` file and add the server configuration under the `mcpServers` block. You can also use the Settings UI under Cascade to add the endpoint, then click refresh in the MCP panel.
Yes, Cascade uses `send_call` to dial numbers without requiring you to write boilerplate code. You simply provide the prompt and the phone number, and Windsurf executes the tool directly.
Windsurf calls `get_call_details` to fetch the complete text logs of finished phone calls. Cascade then parses this text to extract names, dates, or custom variables to use in your local project.
Yes, the `end_call` tool lets you instantly terminate any active connection. If you see a test call going off the rails, you can tell Cascade to kill the connection immediately.
This MCP Server processes your raw audio recordings and phone numbers inside a secure, ephemeral V8 isolate sandbox. No call logs are stored on Vinkius servers, and your API keys are encrypted at rest.

Start using the Bland AI MCP today

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