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Bland AI MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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.

Vinkius supports streamable HTTP and SSE.

typescript
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-1": {
        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();
Bland AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

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

  • 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 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.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

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.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Bland AI without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Bland AI tool response with IDE autocomplete and compile-time checks

04

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.

01

Automated workflows: build multi-step agents that query Bland AI, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Bland AI as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Bland AI on a cron and store results in your database automatically

04

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:

01

get_agent

Get details of a specific AI agent

02

get_call

Get details and metadata of a call

03

get_pathway

Get details of a specific pathway

04

get_transcript

Retrieve the transcript of a completed call

05

list_agents

List all AI agents

06

list_calls

List recent AI calls

07

list_pathways

List all conversation pathways

08

list_voices

List available AI voices

09

send_call

Send an AI phone call

10

stop_call

Stop an active or scheduled call

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.

01

"Call +15550199 and ask if they are still interested in our pricing plan."

02

"List all AI agents in my account."

03

"Show the transcript for call call_998877."

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.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Bland AI + Mastra AI FAQ

Common questions about integrating Bland AI MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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.