Bland AI MCP Server for WindsurfGive Windsurf instant access to 12 tools to Analyze Call Transcript, Create Voice Agent, Delete Voice Agent, and more
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Bland AI through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
Ask AI about this App Connector for Windsurf
The Bland AI app connector for Windsurf 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.
Windsurf's Cascade agent chains multiple Bland AI tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 12 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf
When Windsurf 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 Windsurf via MCP
Follow these steps to wire Bland AI into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Open MCP Settings
Cmd+Shift+P and search "MCP"Add the server
mcp_config.jsonSave and reload
Start using Bland AI
Why Use Windsurf with the Bland AI MCP Server
Windsurf provides unique advantages when paired with Bland AI through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 12 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Bland AI + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Bland AI MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Bland AI and generate models, types, or handlers based on real API responses
Live debugging: query Bland AI tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Bland AI and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Bland AI data with Cascade's code generation to scaffold entire features in minutes
Example Prompts for Bland AI in Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Bland AI to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Bland AI + Windsurf FAQ
Common questions about integrating Bland AI MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.