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Observe.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 Observe.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: {
      "observeai": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Observe.AI Agent",
    instructions:
      "You help users interact with Observe.AI " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Observe.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 Observe.AI MCP Server

Connect your Observe.AI account to your AI agent and gain deep visibility into your contact center performance and conversation intelligence through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Observe.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

  • Interaction Monitoring — List and inspect all calls, chats, and emails processed by the platform, including metadata and analysis.
  • Full Transcripts — Retrieve the complete text transcripts for any call or chat interaction for detailed review.
  • QA & Evaluations — Access quality assurance scores, evaluation forms, and individual agent performance metrics.
  • AI Insights — View automated interaction summaries and identified business moments (e.g., Greetings, Objections).
  • Coaching Oversight — Monitor agent coaching sessions and feedback logs to track improvement.
  • Workspace Management — List all agents, supervisors, and admins in your Observe.AI instance.

The Observe.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 Observe.AI to Mastra AI via MCP

Follow these steps to integrate the Observe.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 Observe.AI via MCP

Why Use Mastra AI with the Observe.AI MCP Server

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

01

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

Observe.AI + Mastra AI Use Cases

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

01

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

02

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

04

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

Observe.AI MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Observe.AI to Mastra AI via MCP:

01

get_evaluation_details

Get specific evaluation info

02

get_interaction_details

Get specific interaction info

03

get_interaction_transcript

Get interaction transcript

04

list_coaching_sessions

List agent coaching sessions

05

list_evaluation_forms

List QA evaluation forms

06

list_interaction_moments

g. Greeting, Closing) across interactions. List identified key moments

07

list_interaction_summaries

List AI-generated summaries

08

list_interactions

AI. List contact center interactions

09

list_qa_evaluations

List QA evaluations

10

list_workspace_users

AI workspace. List workspace agents and users

Example Prompts for Observe.AI in Mastra AI

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

01

"List all recent call interactions from today."

02

"What is the QA score for interaction ID 'int_12345'?"

03

"Show me the AI summaries for our latest interactions."

Troubleshooting Observe.AI MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Observe.AI + Mastra AI FAQ

Common questions about integrating Observe.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 Observe.AI to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.