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 the 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-1": {
"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 orchestrate your automated phone call 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 the 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
- Outbound Automation — Send AI-powered phone calls with custom tasks and specific voices.
- Call Monitoring — List recent calls and retrieve detailed metadata, including transcripts and analysis.
- Agent Management — Access and manage your AI 'personas' (agents) used for different call scenarios.
- Pathway Coordination — Retrieve and utilize complex conversation pathways for branching logic during calls.
- Voice Discovery — List all available AI voices to find the perfect fit for your brand.
- Operational Control — Stop active or scheduled calls instantly if needed.
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:
get_agent
Get details of a specific AI agent
get_call
Get details and metadata of a call
get_pathway
Get details of a specific pathway
get_transcript
Retrieve the transcript of a completed call
list_agents
List all AI agents
list_calls
List recent AI calls
list_pathways
List all conversation pathways
list_voices
List available AI voices
send_call
Send an AI phone call
stop_call
Stop an active or scheduled call
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 +15550199 and ask if they are still interested in our pricing plan."
"List all AI agents in my account."
"Show the transcript for call call_998877."
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
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.