Bland AI MCP Server for Windsurf 10 tools — connect in under 2 minutes
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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Bland AI and 2,500+ MCP Servers from a single visual interface.
{
"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.
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 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Bland AI MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Bland AI
Open Cascade and ask: "Using Bland AI, help me...". 10 tools available
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 10 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
Bland AI MCP Tools for Windsurf (10)
These 10 tools become available when you connect Bland AI to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 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.Connect Bland AI with your favorite client
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Connect Bland AI to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.