Bland AI MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Bland AI through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Bland AI, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every Bland AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Bland AI MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Bland AI and passes them to the LLM
Why Use Vercel AI SDK with the Bland AI MCP Server
Vercel AI SDK provides unique advantages when paired with Bland AI through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Bland AI integration everywhere
Built-in streaming UI primitives let you display Bland AI tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Bland AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Bland AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Bland AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Bland AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Bland AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Bland AI through natural language queries
Bland AI MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Bland AI to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Bland AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBland AI + Vercel AI SDK FAQ
Common questions about integrating Bland AI MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.