Bland AI MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Bland AI through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"bland-ai": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Bland AI Agent",
instructions:
"You help users interact with Bland AI " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Bland AI?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Bland AI tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Bland AI MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Bland AI via MCP
Why Use Mastra AI with the Bland AI MCP Server
Mastra AI provides unique advantages when paired with Bland AI through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Bland AI without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Bland AI tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Bland AI + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Bland AI MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Bland AI, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Bland AI as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Bland AI on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Bland AI tools alongside other MCP servers
Bland AI MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Bland AI to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Bland AI to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBland AI + Mastra AI FAQ
Common questions about integrating Bland AI MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.