How to Use the Bland AI MCP in Mastra AI

Q: How do I register Bland AI tools inside Mastra AI?

Instantiate the client using @mastra/mcp and point it to the Vinkius URL. Spread the tools directly into your agent's tool array.

Q: How does Mastra AI fetch active Bland AI phone numbers?

Use listinbound to retrieve all numbers connected to your voice agents. Your workflow can use this list to assign numbers dynamically.

Q: Is transcript data safe when using this MCP Server?

Yes. Transcripts fetched via getcalldetails pass through a zero-trust, ephemeral V8 isolate sandbox. No phone numbers or conversational logs are stored on Vinkius.

Build resilient voice workflows using Bland AI and Mastra AI.

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Connect Bland AI MCP to Mastra AI

Create your Vinkius account to connect Bland AI to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Bland AI with Mastra AI

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Perplexity

Build multi-step voice workflows using Mastra AI

The `send_call` tool initiates an automated outbound call inside your Mastra workflow. If the call fails to connect, Mastra's retry logic automatically runs it again. You can branch your logic based on what happens during the call. If a customer hangs up, the workflow catches the event and triggers a follow-up action.

Analyze call outcomes to route workflow steps

The `analyze_call` tool evaluates if your voice agent achieved its objective during the call. Your workflow uses this evaluation to decide the next step. By fetching data with `get_call_details`, the agent reads the exact transcript. Mastra then routes the workflow to either send an email or schedule another call.

Scale bulk operations with this MCP Server

The `send_batch` tool deploys a large group of voice agents at the same time. You can handle massive notification lists without writing custom concurrency code. Use `get_batch` to track the execution state of the active run. Mastra handles the polling and error recovery so you do not lose track of active lines.

Setup guide

Set up Bland AI MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Bland AI tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "bland-ai-mcp-client",
  servers: {
    "bland-ai-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Bland AI Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Bland AI tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Bland AI transactions"
);
console.log(result.text);

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bland AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bland AI MCP in Mastra AI

Instantiate the client using `@mastra/mcp` and point it to the Vinkius URL. Spread the tools directly into your agent's tool array.

Yes. You can configure Mastra's human-in-the-loop feature to halt execution before calling `send_call`.

Use `list_inbound` to retrieve all numbers connected to your voice agents. Your workflow can use this list to assign numbers dynamically.

The workflow engine detects the failure. You can configure exponential backoff rules to redial or escalate the issue.

Yes. Transcripts fetched via `get_call_details` pass through a zero-trust, ephemeral V8 isolate sandbox. No phone numbers or conversational logs are stored on Vinkius.

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