# How to integrate Cabinpanda MCP with Mastra AI

```json
{
  "title": "How to integrate Cabinpanda MCP with Mastra AI",
  "toolkit": "Cabinpanda",
  "toolkit_slug": "cabinpanda",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/cabinpanda/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/cabinpanda/framework/mastra-ai.md",
  "updated_at": "2026-05-12T10:04:40.604Z"
}
```

## Introduction

This guide walks you through connecting Cabinpanda to Mastra AI using the Composio tool router. By the end, you'll have a working Cabinpanda agent that can list all forms created this month, get details of form by id, show all submissions for a survey through natural language commands.
This guide will help you understand how to give your Mastra AI agent real control over a Cabinpanda account through Composio's Cabinpanda MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Cabinpanda with

- [OpenAI Agents SDK](https://composio.dev/toolkits/cabinpanda/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/cabinpanda/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/cabinpanda/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/cabinpanda/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/cabinpanda/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/cabinpanda/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/cabinpanda/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/cabinpanda/framework/cli)
- [Google ADK](https://composio.dev/toolkits/cabinpanda/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/cabinpanda/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/cabinpanda/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/cabinpanda/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/cabinpanda/framework/crew-ai)

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

The Cabinpanda MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, and more directly to your Cabinpanda account. It provides structured and secure access to your online forms and submissions, so your agent can create forms, fetch submissions, manage integrations, and analyze collected data—all on your behalf.
- Form creation and management: Let your agent design new forms, set up fields, and update or delete existing forms to streamline data collection workflows.
- Submission review and analysis: Quickly retrieve and review submissions for any form, enabling your assistant to summarize, filter, or process responses in real time.
- Integration automation: Have the agent list, inspect, or remove integrations (like webhooks) so your forms can connect to other tools and automate follow-up actions.
- User and team oversight: Effortlessly fetch account users and profile details, making it easy to manage access and keep your team in sync.
- Comprehensive form listing: Instantly retrieve all forms in your account to enable bulk operations, reporting, or quick audits through your agent.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CABINPANDA_CREATE_FORM` | Create Form | Create a new form in CabinPanda using a template. The form will be created with default fields based on the selected template. Use template_id '1' for a blank form or other IDs for themed templates. |
| `CABINPANDA_DELETE_FORM` | Delete Form | Permanently deletes a form from CabinPanda using its unique key. This action is irreversible - use with caution. Requires the form's alphanumeric key (not the numeric ID) which can be obtained from the List Forms action's 'key' field. |
| `CABINPANDA_DELETE_INTEGRATION` | Delete Integration | Deletes a form integration configuration by its ID. Use this to disconnect a specific integration (e.g., Slack, Google Sheets, Stripe) from a form. First use CABINPANDA_LIST_INTEGRATIONS to find the 'form_integration.id' of the configured integration you want to remove. This is a destructive and idempotent operation. |
| `CABINPANDA_GET_FORM_DETAILS` | Get Form Details | Tool to retrieve details of a specific form by its key (32-character hex string). Use when you need form metadata (fields, labels, timestamps) before processing or submitting data. Get form keys from the list_forms endpoint. |
| `CABINPANDA_GET_INTEGRATION_DETAILS` | Get Integration Details | Retrieve detailed information about a specific integration by its numeric ID. Returns integration configuration, category, OAuth settings, and form/team integration status. Use List Integrations first to discover available IDs. |
| `CABINPANDA_GET_PROFILE` | Get Profile | Retrieves the authenticated user's CabinPanda profile including account details, workspace information, available features, usage statistics, and billing plan. Use this action to get the current user's identity, check plan limits, or verify account setup status. |
| `CABINPANDA_LIST_FORMS` | List Forms | Tool to retrieve a list of all forms associated with the account. Use when you need to fetch form details for management or analysis. |
| `CABINPANDA_LIST_INTEGRATIONS` | List Integrations | Tool to retrieve a list of all integrations for the account. Use when you need to inspect available or active integrations before managing them. |
| `CABINPANDA_LIST_SUBMISSIONS` | List form submissions | Retrieve all submissions for a specific form. The form_id parameter requires the 32-character hex key (not the numeric ID). First use List Forms to get available form keys, then pass one to this action. |
| `CABINPANDA_LIST_USERS` | List Users | Retrieves a list of all team members (users) associated with your CabinPanda account. Use this tool to: - View all team members in your workspace - Get user IDs for other team management operations - Check user roles, permissions, and current usage statistics - Audit team membership and billing plan information Returns detailed user information including email, workspace details, available features, and usage statistics. |
| `CABINPANDA_UPDATE_FORM` | Update Form | Tool to update the details of an existing form including name, template, fields and settings. Use when you need to modify form properties, update field configuration, or change form behavior. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Cabinpanda MCP server is an implementation of the Model Context Protocol that connects your AI agent to Cabinpanda. It provides structured and secure access so your agent can perform Cabinpanda operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. 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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.
- This key lets your Mastra agent talk to Composio and reach Cabinpanda through MCP.

### 2. Install dependencies

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

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import libraries and validate environment

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
```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,
});
```

### 5. Create a Tool Router session for Cabinpanda

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "cabinpanda" for Cabinpanda access
- session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
```typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["cabinpanda"],
    },
  );

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

### 6. Configure Mastra MCP client and fetch tools

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 Cabinpanda toolkit
```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);
```

### 7. Create the Mastra agent

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

### 8. Set up interactive chat interface

What's happening:
- messages keeps the full conversation history in Mastra's expected format
- agent.generate runs the agent with conversation history and Cabinpanda 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
```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: {
        cabinpanda: 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);
});
```

## Complete Code

```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: ["cabinpanda"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "cabinpanda-mastra-agent",
    instructions: "You are an AI agent with Cabinpanda 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: { cabinpanda: 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 Cabinpanda 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 Cabinpanda MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/cabinpanda/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/cabinpanda/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/cabinpanda/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/cabinpanda/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/cabinpanda/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/cabinpanda/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/cabinpanda/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/cabinpanda/framework/cli)
- [Google ADK](https://composio.dev/toolkits/cabinpanda/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/cabinpanda/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/cabinpanda/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/cabinpanda/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/cabinpanda/framework/crew-ai)

## Related Toolkits

- [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.
- [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.
- [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agentql](https://composio.dev/toolkits/agentql) - Agentql is a toolkit that connects AI agents to the web using a specialized query language. It enables structured web interaction and data extraction for smarter automations.
- [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions.
- [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.
- [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations.
- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
- [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints.
- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
- [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation.
- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Cabinpanda MCP?

With a standalone Cabinpanda MCP server, the agents and LLMs can only access a fixed set of Cabinpanda tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Cabinpanda 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 Cabinpanda tools.

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

Yes, absolutely. You can configure which Cabinpanda 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 Cabinpanda data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)