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Relevance AI MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Delete Task, Get Agent Details, Get Knowledge, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Relevance 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 for Mastra AI

The Relevance AI MCP Server for Mastra AI is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients
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: {
      "relevance-ai-alternative": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Relevance AI Agent",
    instructions:
      "You help users interact with Relevance AI " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Relevance AI?"
  );
  console.log(result.text);
}

main();
Relevance 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 Relevance AI MCP Server

Connect your Relevance AI account to any AI agent and take full control of your autonomous AI workforce and tool orchestration through natural conversation. Relevance AI provides a world-class platform for building and scaling multi-agent systems, and this integration allows you to trigger autonomous agents, execute custom studios (tools), and monitor long-running task histories directly from your chat interface.

Mastra's agent abstraction provides a clean separation between LLM logic and Relevance AI tool infrastructure. Connect 11 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

  • Agent & Workforce Orchestration — List all available autonomous agents and trigger them to perform specific goals with dynamic inputs programmatically.
  • Studio & Tool Intelligence — Access and monitor your custom AI 'Studios' and execute them with complex parameters directly from the AI interface.
  • Task Lifecycle Management — Retrieve real-time progress for background tasks and monitor final outputs to ensure your autonomous workflows are always synchronized.
  • Knowledge & RAG Control — List and search through your agent's knowledge base items and datasets via natural language.
  • Operational Monitoring — Track system activity and manage regional deployments using simple AI commands.

The Relevance AI MCP Server exposes 11 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Relevance AI tools available for Mastra AI

When Mastra AI connects to Relevance AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning multi-agent-systems, autonomous-agents, workflow-automation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

delete

Delete task on Relevance AI

Permanently delete a task record

get

Get agent details on Relevance AI

Get metadata for an agent

get

Get knowledge on Relevance AI

Get details for a knowledge base

get

Get task status on Relevance AI

Check status and results of a task

list

List agent tasks on Relevance AI

List recent agent tasks

list

List agents on Relevance AI

List all AI agents

list

List executions on Relevance AI

List all agent execution history

list

List knowledge items on Relevance AI

List knowledge base items

list

List tools on Relevance AI

List all studios/tools

trigger

Trigger agent on Relevance AI

Start an agent task

trigger

Trigger tool on Relevance AI

Execute a specific tool (Studio)

Connect Relevance AI to Mastra AI via MCP

Follow these steps to wire Relevance AI into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind 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 11 tools from Relevance AI via MCP

Why Use Mastra AI with the Relevance AI MCP Server

Mastra AI provides unique advantages when paired with Relevance AI through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Relevance 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 Relevance 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

Relevance AI + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Relevance AI MCP Server delivers measurable value.

01

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

02

SaaS integrations: embed Relevance 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 Relevance AI on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Relevance AI tools alongside other MCP servers

Example Prompts for Relevance AI in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Relevance AI immediately.

01

"List all my available autonomous agents."

02

"Show me all AI agents in my workspace with their execution statistics from the last 7 days."

03

"Trigger the Lead Qualifier agent to analyze and score a batch of 50 new inbound leads."

Troubleshooting Relevance AI MCP Server with Mastra AI

Common issues when connecting Relevance AI to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Relevance AI + Mastra AI FAQ

Common questions about integrating Relevance 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.

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