How to integrate Kaleido MCP with Mastra AI

This guide walks you through connecting Kaleido to Mastra AI using the Composio tool router. By the end, you'll have a working Kaleido agent that can list all api keys for your organization, create a new api key for our consortium, show all event streams configured in this environment through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Kaleido account through Composio's Kaleido MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Kaleido

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Kaleido is a full-stack platform for building and managing enterprise blockchain networks and applications. It streamlines secure deployment, governance, and scaling for blockchain solutions.

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Introduction

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

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

Also integrate Kaleido with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK LlamaIndex CrewAI

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 Kaleido tools
Connect Mastra's MCP client to the Composio generated MCP URL
Fetch Kaleido 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 Kaleido 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 Kaleido MCP server, and what's possible with it?

The Kaleido MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Kaleido account. It provides structured and secure access to your blockchain environment, so your agent can perform actions like managing organizations, handling API keys, retrieving memberships, and monitoring event streams on your behalf.

Organization and consortium management: Let your agent list, retrieve, and manage organizations and consortia that you have access to—making it easy to keep your blockchain networks organized.
API key lifecycle control: Effortlessly create, retrieve, and delete API keys for your organization, so you can handle credential management without manual steps.
Membership and access insights: Quickly fetch details about user memberships and organizational access, helping you stay on top of roles and permissions in your blockchain environment.
Event stream monitoring: Retrieve and review all event streams configured in your environment, making it simple to keep tabs on real-time blockchain activity.
App2App and credential retrieval: Ask your agent to list App2App runtimes and fetch application credentials for specific environments, streamlining application integration and deployment.

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

What is Composio SDK?

Composio's Composio SDK 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 Composio SDK

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

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

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

Step-by-step Guide

Step by step09 STEPS

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 Kaleido 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 Kaleido

typescript

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

  const composioMCPUrl = session.mcp.url;
  console.log("Kaleido MCP URL:", composioMCPUrl);

What's happening:

create spins up a short-lived MCP HTTP endpoint for this user
The toolkits array contains "kaleido" for Kaleido 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 Kaleido toolkit

Create the Mastra agent

typescript

const agent = new Agent({
    name: "kaleido-mastra-agent",
    instructions: "You are an AI agent with Kaleido 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: {
        kaleido: 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 Kaleido 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 Kaleido 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: ["kaleido"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "kaleido-mastra-agent",
    instructions: "You are an AI agent with Kaleido 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: { kaleido: 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 Kaleido 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

TOOLS

Supported Tools

Every Kaleido action and event your agent gets out of the box.

Add Organization Identity Proof

Add an x509 identity proof to a Kaleido organization.

Create API Key

Creates a new API key for the specified Kaleido organization.

Delete API Key

Permanently deletes an API key by its ID.

Delete Organization Identity Proof

Remove an x509 identity proof from a Kaleido organization.

Get API Key

Tool to retrieve details of a specific API key by its ID.

Get API Keys

Tool to retrieve all API keys associated with the organization.

Get Application Credentials

Tool to retrieve application credentials for a specific environment.

Get Billing Summary

Retrieves a summary of billing data for the specified organization for the current month.

Get Consortia

Tool to retrieve all consortia associated with the organization.

Get Event Streams

List all event streams configured on a Kaleido blockchain node's Ethconnect REST API Gateway.

Get Organization Identity Proof

Tool to retrieve a specific identity proof for a Kaleido organization.

Get Invitations

Tool to retrieve all invitations for the current user where they are the target.

Get Memberships

Tool to retrieve all memberships for the current user.

Get Organization

Tool to retrieve details of a specific Kaleido organization by its ID.

Get Organization Plan

Retrieve the subscription plan details for a Kaleido organization.

Get Organizations

Retrieves all organizations that the authenticated user has access to in Kaleido.

Get Organization Billing Provider

Retrieves billing provider information for a specific organization in Kaleido.

Get Plans

Retrieve all available Kaleido subscription plans.

Get Regions

Retrieve all available Kaleido deployment regions and their deployment zones.

Get Releases

Retrieve all available blockchain node software releases from the Kaleido platform.

Get Role By ID

Retrieve a specific user role assignment within a Kaleido organization.

Get Roles

Retrieve all user role assignments for a Kaleido organization.

Get Services

Tool to retrieve all services the current user owns or can see.

Get Token Factory Tokens

Retrieves all token contracts from a Kaleido Token Factory service.

Get Wallet Account Nonce

Retrieve the current nonce (transaction count) of a specific HD wallet account.

Get Wallets

Tool to retrieve HD wallet IDs hosted in the service.

Update Organization

Tool to update a specific organization in Kaleido.

Update Organization Role

Update the role assignment for a user in a Kaleido organization.

Upsert Organization Role

Upsert (create or update) a role assignment for a user in a Kaleido organization.

FRAMEWORKS

How to build Kaleido MCP Agent with another framework

OpenAI Agents SDK

Use Kaleido MCP with OpenAI Agents SDK

Claude Agent SDK

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Claude Code

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Claude Cowork

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Codex

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OpenClaw

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Hermes

Use Kaleido MCP with Hermes

CLI

Use Kaleido MCP with CLI

Google ADK

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LangChain

Use Kaleido MCP with LangChain

Vercel AI SDK

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LlamaIndex

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CrewAI

Use Kaleido MCP with CrewAI

MORE TOOLKITS

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Ably

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FAQ

Frequently asked questions

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

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 Kaleido tools.

Yes, absolutely. You can configure which Kaleido 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.

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 Kaleido data and credentials are handled as safely as possible.

Start with Kaleido.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Kaleido tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Kaleido MCP with Mastra AI

Connect Kaleido without auth hassles

Introduction

Also integrate Kaleido with

TL;DR

What is Mastra AI?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import libraries and validate environment

Create a Tool Router session for Kaleido

Configure Mastra MCP client and fetch tools

Create the Mastra agent

Set up interactive chat interface

Complete Code

Conclusion

Supported Tools

How to build Kaleido MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

LlamaIndex

CrewAI

Explore Other Toolkits

Supabase

Codeinterpreter

GitHub

Ably

Frequently asked questions

What are the differences in Tool Router MCP and Kaleido MCP?+

Can I use Tool Router MCP with Mastra AI?+

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

How safe is my data with Composio Tool Router?+

Start with Kaleido.It takes 30 seconds.

Teams ship real agents on Composio