How to Use the Bland AI MCP in Cursor

Q: Can Cursor analyze my Bland AI call logs?

Yes, the listcalls and getcalldetails tools pull your logs and transcripts directly into the editor. Your agent can write test suites or analyze customer interactions using this data.

Q: Can I send bulk phone campaigns from Cursor with Bland AI?

Yes, sendbatch lets you trigger concurrent phone calls directly from your workspace. You pass the target numbers, and your agent coordinates the bulk dispatch.

Q: How do I check if a call completed its goal?

The analyzecall tool inspects active recordings to check if specific goals were met. Your agent reads this evaluation to update your database or trigger follow-up actions.

Write code that initiates and analyzes phone calls using Bland AI inside Cursor.

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Connect Bland AI MCP to Cursor

Create your Vinkius account to connect Bland AI to Cursor 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 Cursor

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Trigger live voice agents from your editor

`send_call` launches a conversational phone agent directly to any number you type in Cursor. Your editor generates the prompt parameters and initiates the telecom connection in one step using the MCP protocol. To terminate a live call when testing your application logic, `end_call` drops the connection instantly. This lets you debug call flows without waiting for timeouts or manual hangs.

Read transcripts inside Cursor

`get_call_details` fetches the exact transcript and metadata of completed calls right into your workspace. Cursor uses this live data to help you write parser functions or debug webhook payloads. If you need the actual audio files, `get_recording` provides direct links to the raw MP3 or WAV logs. Your agent analyzes the voice quality using these files.

Query active phone lines using your MCP Server

`list_inbound` pulls the active phone numbers that are currently bridged to your voice agents. You can check which lines are live before configuring routing logic in your code. To inspect historical performance, `list_calls` retrieves the complete log of past calls. Your agent analyzes success rates and generates reports directly inside your editor.

Setup guide

Set up Bland AI MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Bland AI MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Bland AI transactions." If the MCP tools are loaded correctly, Cursor will call the Bland AI tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "bland-ai-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 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 Cursor

Insert the Vinkius MCP Server URL into your cursor/mcp.json file. Once saved, switch Cursor to Agent mode to start using the telecom tools in your coding session.

Yes, the `list_calls` and `get_call_details` tools pull your logs and transcripts directly into the editor. Your agent can write test suites or analyze customer interactions using this data.

Yes, `send_batch` lets you trigger concurrent phone calls directly from your workspace. You pass the target numbers, and your agent coordinates the bulk dispatch.

The `analyze_call` tool inspects active recordings to check if specific goals were met. Your agent reads this evaluation to update your database or trigger follow-up actions.

Vinkius manages this MCP Server using a single endpoint token, ensuring your API keys and phone number databases are never exposed to external networks. No call transcripts or audio files are cached on our servers.

Use it with your favorite AI tools

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

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