Bland AI MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"bland-ai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Bland AI MCP Server
Connect your Bland AI API key to your AI agent and take full programmatic control over enterprise-grade telephony and conversational voice workflows.
Cursor's Agent mode turns Bland AI into an in-editor superpower. Ask Cursor to generate code using live data from Bland AI and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Automated Calling — Dispatch individual conversational voice agents to specific phone numbers, or scale up with bulk telecom batch dispatching.
- Call Management & Analysis — Retrieve full historical call logs, pull raw transcripts, end live calls instantly, and forcefully interrogate recordings to extract goal completion statuses.
- Inbound & WebRTC — View your purchased PSTN numbers for inbound routing and effortlessly spawn decoupled internet-based WebRTC signaling sockets for browser audio.
- Media Extraction — Pull native MP3/WAV recording files directly for quality assurance or CRM logging.
The Bland AI MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Bland AI to Cursor via MCP
Follow these steps to integrate the Bland AI MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Bland AI
Open Agent mode in chat and ask: "Using Bland AI, help me...". 10 tools available
Why Use Cursor with the Bland AI MCP Server
Cursor AI Code Editor provides unique advantages when paired with Bland AI through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Bland AI + Cursor Use Cases
Practical scenarios where Cursor combined with the Bland AI MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Bland AI MCP Tools for Cursor (10)
These 10 tools become available when you connect Bland AI to Cursor via MCP:
analyze_call
Interrogate an active recording querying direct goal completion status
create_web_call
Spawn a decoupled internet-based WebRTC signaling socket logic stream
end_call
Force an immediate disconnect disrupting a live AI call
get_batch
Retrieve aggregations profiling the concurrent status of a Bulk Batch
get_call_details
Retrieve explicit variables and exact transcript logic for a completed call
get_recording
Retrieve raw native MP3/WAV links logging exact raw audio
list_calls
Retrieve the full historical log of AI phone calls
list_inbound
Identify available inbound phone numbers currently bridged to an AI agent
send_batch
Dispatch multiple AI agents concurrently scaling bulk telecom arrays
send_call
Dispatch an automated conversational AI agent to a phone number
Example Prompts for Bland AI in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Bland AI immediately.
"Please analyze call ID `c-12345` with the goal query 'Was the customer interested in a demo?'"
"End the currently active phone call ID `c-99999` immediately."
"List all my purchased inbound phone numbers on Bland AI."
Troubleshooting Bland AI MCP Server with Cursor
Common issues when connecting Bland AI to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Bland AI + Cursor FAQ
Common questions about integrating Bland AI MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Bland AI to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.