How to integrate Simplekpi MCP with Mastra AI

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Introduction

This guide walks you through connecting Simplekpi to Mastra AI using the Composio tool router. By the end, you'll have a working Simplekpi agent that can show me top performing kpis this month, add a new kpi for sales pipeline, generate a report on marketing metrics through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Simplekpi account through Composio's Simplekpi MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Simplekpi tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Simplekpi tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Simplekpi agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

What is the Simplekpi MCP server, and what's possible with it?

The Simplekpi MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Simplekpi account. It provides structured and secure access so your agent can perform Simplekpi operations on your behalf.

Supported Tools & Triggers

Tools
Add User Group ItemTool to assign a group item to a user in SimpleKPI.
Add User KPITool to assign a KPI to a user in SimpleKPI.
Create Category KPITool to create a new KPI within a category in SimpleKPI.
Create GroupTool to create a new group in SimpleKPI.
Create Group ItemTool to create a new item within a group in SimpleKPI.
Create KPITool to create a new KPI with specified configuration.
Create KPI CategoryTool to create a new KPI category in SimpleKPI.
Create KPI UnitTool to create a new KPI unit in SimpleKPI.
Batch KPI EntriesTool to batch create or update multiple KPI entries at once.
Create UserTool to create a new user account in SimpleKPI.
Delete Category KPITool to delete a KPI from a category.
Delete GroupTool to delete a group by ID.
Delete Group ItemTool to delete a group item by ID.
Delete KPITool to delete a KPI by ID.
Delete KPI CategoryTool to delete a KPI category by its ID.
Delete KPI EntryTool to delete a KPI entry by ID.
Delete KPI UnitTool to delete a KPI unit by its ID.
Delete UserTool to delete a user account by ID.
Delete User Group ItemTool to remove a group item assignment from a user.
Delete User KPITool to remove a KPI assignment from a user.
Get All Data EntriesTool to retrieve processed KPI data entries for reports including calculated KPIs.
Get Category KPITool to retrieve a specific KPI within a category.
Get GroupTool to get a specific group by ID from SimplekPI.
Get Group ItemTool to retrieve a specific group item by ID.
Get KPI by IDTool to retrieve a specific KPI by ID from SimpleKPI.
Get KPI CategoryTool to get a specific KPI category by ID from SimpleKPI.
Get KPI EntryTool to retrieve a specific KPI entry by ID.
Get KPI FrequencyTool to get a specific KPI frequency by ID from SimplekPI.
Get KPI Icon by IDTool to retrieve a specific KPI icon by ID.
Get KPI UnitTool to get a specific KPI unit by ID from SimpleKPI.
Get User by IDTool to retrieve a specific user by ID.
Get User Group ItemTool to get a specific group item assigned to a user.
Get User KPITool to retrieve a specific KPI assigned to a user.
List Category KPIsTool to retrieve all KPIs within a specific category.
List Group ItemsTool to get all items within a group.
List GroupsTool to retrieve all groups from SimpleKPI.
List KPI CategoriesTool to get all KPI categories.
List KPI EntriesTool to get all KPI entries filtered by date range and optional criteria.
List KPI FrequenciesTool to get all KPI frequencies.
List KPI IconsTool to retrieve all KPI icons from SimpleKPI.
List All KPIsTool to retrieve all KPIs from a SimpleKPI account.
List All KPI UnitsTool to retrieve all KPI units from a SimpleKPI account.
List User Group ItemsTool to get all group items assigned to a user.
List User KPIsTool to get all KPIs assigned to a specific user.
Update Category KPITool to update a KPI within a category.
Update GroupTool to update an existing group in SimpleKPI.
Update Group ItemTool to update an existing item in a SimpleKPI group.
Update KPITool to update an existing KPI in SimpleKPI.
Update KPI EntryTool to update an existing KPI entry in SimpleKPI.
Update KPI UnitTool to update an existing KPI unit in SimpleKPI.
Update UserTool to update an existing user account in SimpleKPI.

What is the Composio tool router, and how does it fit here?

What is Tool Router?

Composio's Tool Router helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Simplekpi through MCP.

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session

Create a Tool Router session for Simplekpi

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["simplekpi"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Simplekpi MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "simplekpi" for Simplekpi access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Simplekpi toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "simplekpi-mastra-agent",
    instructions: "You are an AI agent with Simplekpi tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        simplekpi: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Simplekpi toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Simplekpi and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["simplekpi"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      simplekpi: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "simplekpi-mastra-agent",
    instructions: "You are an AI agent with Simplekpi tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { simplekpi: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Simplekpi through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows

How to build Simplekpi MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Simplekpi MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Simplekpi MCP with Claude Agent SDK

Google ADK

Google ADK

Use Simplekpi MCP with Google ADK

LangChain

LangChain

Use Simplekpi MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Simplekpi MCP with Vercel AI SDK

LlamaIndex

LlamaIndex

Use Simplekpi MCP with LlamaIndex

CrewAI

CrewAI

Use Simplekpi MCP with CrewAI

Claude Code

Claude Code

Use Simplekpi MCP with Claude Code

Codex

Codex

Use Simplekpi MCP with Codex

FAQ

What are the differences in Tool Router MCP and Simplekpi MCP?

With a standalone Simplekpi MCP server, the agents and LLMs can only access a fixed set of Simplekpi tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Simplekpi and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Mastra AI?

Yes, you can. Mastra AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Simplekpi tools.

Can I manage the permissions and scopes for Simplekpi while using Tool Router?

Yes, absolutely. You can configure which Simplekpi scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Simplekpi data and credentials are handled as safely as possible.

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