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 Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 API key to your AI agent and take full programmatic control over enterprise-grade telephony and conversational voice workflows.
The Vercel AI SDK gives every Bland AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through 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
- 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 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:
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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 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.