Bland AI MCP Server for CursorGive Cursor instant access to 12 tools to Analyze Call Transcript, Create Voice Agent, Delete Voice Agent, and more
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.
Ask AI about this App Connector for Cursor
The Bland AI app connector for Cursor is a standout in the Superpower category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Bland AI and 3,400+ MCP Servers from a single visual interface.
{
"mcpServers": {
"bland-ai-alternative": {
"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 account to any AI agent and take full control of your hyper-realistic AI-driven phone communication and automated voice workflows through natural conversation.
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. 12 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Outbound Call Orchestration — Programmatically initiate high-fidelity phone calls to over 200 countries, providing specific tasks and real-time instructions directly through your agent
- Voice Agent Architecture — Create and manage persistent AI personas with fixed prompts, voices, and personality settings to maintain a perfectly coordinated brand voice
- Conversation Intelligence — Access real-time call statuses, retrieve complete high-fidelity transcripts, and access secure recording links for every interaction
- Post-Call Discovery — Programmatically analyze finished calls to extract specific variables, insights, or sentiment summaries using advanced post-processing tools
- Infrastructure Monitoring — Access your directory of purchased phone numbers and high-fidelity AI voices to oversee your voice communication ecosystem programmatically
The Bland AI MCP Server exposes 12 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.
All 12 Bland AI tools available for Cursor
When Cursor connects to Bland AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-voice-agent, automated-calling, conversational-ai, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Perform post-call analysis
Create a persistent AI persona
Remove an AI persona
Get agent settings
Get details and transcript for a call
List high-fidelity AI voices
List purchased phone numbers
List recent phone calls
List configured AI personas
Send an outbound phone call using an AI agent
Stop an ongoing phone call
Modify agent settings
Connect Bland AI to Cursor via MCP
Follow these steps to wire Bland AI into Cursor. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Open MCP Settings
Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"Add the server config
mcp.json file that opensSave the file
Start using Bland AI
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
Example Prompts for Bland AI in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Bland AI immediately.
"Call '+15551234567' and ask if they are still coming to the meeting today at 3 PM."
"Show the transcript and recording for call ID 'call_123'."
"List all my persistent voice agents in 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.