# How to integrate Formcarry MCP with Mastra AI

```json
{
  "title": "How to integrate Formcarry MCP with Mastra AI",
  "toolkit": "Formcarry",
  "toolkit_slug": "formcarry",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/formcarry/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/formcarry/framework/mastra-ai.md",
  "updated_at": "2026-05-12T10:12:08.631Z"
}
```

## Introduction

This guide walks you through connecting Formcarry to Mastra AI using the Composio tool router. By the end, you'll have a working Formcarry agent that can show all submissions from contact form, list feedback form responses from last week, retrieve job application submissions with resumes through natural language commands.
This guide will help you understand how to give your Mastra AI agent real control over a Formcarry account through Composio's Formcarry MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Formcarry with

- [OpenAI Agents SDK](https://composio.dev/toolkits/formcarry/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/formcarry/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/formcarry/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/formcarry/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/formcarry/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/formcarry/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/formcarry/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/formcarry/framework/cli)
- [Google ADK](https://composio.dev/toolkits/formcarry/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/formcarry/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/formcarry/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/formcarry/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/formcarry/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 Formcarry tools
- Connect Mastra's MCP client to the Composio generated MCP URL
- Fetch Formcarry 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 Formcarry 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 Formcarry MCP server, and what's possible with it?

The Formcarry MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Formcarry account. It provides structured and secure access to your form submissions, so your agent can perform actions like retrieving submissions, filtering response data, and automating workflows based on incoming form entries on your behalf.
- Retrieve recent form submissions: Instantly pull the latest entries from any of your Formcarry forms, complete with all submitted data.
- Filter submissions by form ID: Ask your agent to search and fetch submissions for a specific form, making it easy to review targeted data.
- Paginate through large datasets: Effortlessly process high volumes of submissions by navigating through paginated form responses.
- Automate form response processing: Use your agent to analyze new submissions and trigger follow-up actions or integrations without manual effort.
- Monitor submission trends over time: Let your agent help you track, summarize, and act on patterns in incoming form data.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FORMCARRY_CREATE_FORM` | Create Form | Create a new form with customizable settings including email notifications, webhooks, and thank you pages. This action creates a Formcarry form with extensive configuration options for email notifications (both to form owners and respondents), webhook integrations, Google Recaptcha spam protection, and customizable thank you pages. Use when you need to programmatically set up a new form with specific notification rules or integrations. |
| `FORMCARRY_DELETE_FORM` | Delete Form | Delete an existing form by its Form ID. Use when you need to permanently remove a form from your Formcarry account. |
| `FORMCARRY_RETRIEVE_SUBMISSIONS` | Retrieve Form Submissions | Retrieves all submissions for a specific Formcarry form. Returns a paginated list of form submissions with their field data, timestamps, and submission IDs. Use pagination parameters to navigate through large submission sets. Default page size is 25, maximum is 50 submissions per page. Useful for: collecting form responses, exporting submission data, integrating form data into other systems, or building custom analytics dashboards. |
| `FORMCARRY_VERIFY_AUTH` | Verify API Key Authentication | Tool to verify API key authentication with Formcarry. Use this endpoint to check if your API key is valid before making other API requests. Returns success status and a confirmation message if the API key is valid. |

## Supported Triggers

None listed.

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

The Formcarry MCP server is an implementation of the Model Context Protocol that connects your AI agent to Formcarry. It provides structured and secure access so your agent can perform Formcarry 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 Formcarry 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 Formcarry

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "formcarry" for Formcarry 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: ["formcarry"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Formcarry 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 Formcarry 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: "formcarry-mastra-agent",
    instructions: "You are an AI agent with Formcarry 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 Formcarry 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: {
        formcarry: 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: ["formcarry"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

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

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

## Related Toolkits

- [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.
- [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.
- [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.
- [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences.
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- [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.
- [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting.
- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.

## Frequently Asked Questions

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

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

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

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

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