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Bland AI MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Analyze Call Transcript, Create Voice Agent, Delete Voice Agent, and more

Built by Vinkius GDPR 12 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.

Ask AI about this App Connector for Mastra AI

The Bland AI app connector for Mastra AI is a standout in the Superpower category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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-alternative": {
        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 12 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
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60%Token savings
High SecurityEnterprise-grade
IAMAccess control
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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 take full control of your hyper-realistic AI-driven phone communication and automated voice workflows through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Bland AI tool infrastructure. Connect 12 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 Call Orchestration — Programmatically initiate high-fidelity phone calls to over 200 countries, providing specific tasks and real-time instructions directly through your agent
  • Voice Agent Architecture — Create and manage persistent AI personas with fixed prompts, voices, and personality settings to maintain a perfectly coordinated brand voice
  • Conversation Intelligence — Access real-time call statuses, retrieve complete high-fidelity transcripts, and access secure recording links for every interaction
  • Post-Call Discovery — Programmatically analyze finished calls to extract specific variables, insights, or sentiment summaries using advanced post-processing tools
  • Infrastructure Monitoring — Access your directory of purchased phone numbers and high-fidelity AI voices to oversee your voice communication ecosystem programmatically

The Bland AI MCP Server exposes 12 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.

All 12 Bland AI tools available for Mastra AI

When Mastra AI connects to Bland AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-voice-agent, automated-calling, conversational-ai, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

analyze_call_transcript

Perform post-call analysis

create_voice_agent

Create a persistent AI persona

delete_voice_agent

Remove an AI persona

get_agent_config

Get agent settings

get_call_details

Get details and transcript for a call

list_available_voices

List high-fidelity AI voices

list_phone_numbers

List purchased phone numbers

list_recent_calls

List recent phone calls

list_voice_agents

List configured AI personas

send_phone_call

Send an outbound phone call using an AI agent

stop_active_call

Stop an ongoing phone call

update_agent_config

Modify agent settings

Connect Bland AI to Mastra AI via MCP

Follow these steps to wire Bland AI into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 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

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 '+15551234567' and ask if they are still coming to the meeting today at 3 PM."

02

"Show the transcript and recording for call ID 'call_123'."

03

"List all my persistent voice agents in 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.

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.