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How to integrate Convertapi MCP with Mastra AI

Connect Mastra AI to Convertapi MCP. Convert pdf invoice to editable docx, turn pdf presentation into jpg images, and more using natural language, with authentication handled for you.

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Convertapi

Api Key

ConvertAPI is a robust file conversion service for documents, images, and spreadsheets. It streamlines programmatic format changes and lets developers automate complex workflows with a single API.

17 Tools

Managed auth

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We manage OAuth, API keys, token refresh, and scopes — you just build.

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Introduction

This guide walks you through connecting Convertapi to Mastra AI using the Composio tool router. By the end, you'll have a working Convertapi agent that can convert documents and images, upload and download files, check supported formats, run async conversions, and track your usage through natural language commands.

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

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

Also integrate Convertapi with

Claude Code Claude Cowork OpenAI Agents SDK Claude Agent SDK Grok Bot Codex OpenClaw Hermes Atomic Agent Google ADK LangChain Vercel AI SDK LlamaIndex CrewAI Pydantic AI AutoGen

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

The Convertapi MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Convertapi account. It provides structured and secure access to file conversion and management tools, so your agent can perform actions like converting documents, uploading files, retrieving converted outputs, and managing temporary file storage on your behalf.

Multi-format file conversion: Instantly convert documents, images, and spreadsheets between formats like PDF, DOCX, and JPG with just a prompt.
Bulk and asynchronous processing: Use asynchronous conversion for large files or batch jobs, allowing your agent to handle long-running tasks without delays.
File upload and remote import: Upload files directly or import them from remote URLs, making it easy to work with files stored anywhere on the web.
Download and manage uploaded files: Retrieve converted outputs, download original or processed files, or delete unused uploads from temporary storage.
Format compatibility discovery: Ask your agent to list which formats can be converted to a desired output, ensuring smooth workflow automation.

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 Convertapi 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 Convertapi

typescript

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

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

What's happening:

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

Create the Mastra agent

typescript

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

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "convertapi-mastra-agent",
    instructions: "You are an AI agent with Convertapi 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: { convertapi: 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 Convertapi 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 Convertapi action and event your agent gets out of the box.

Async Convert

Tool to perform an asynchronous file conversion.

Delete Async Job

Tool to delete a previously created asynchronous conversion job.

Check Conversion Support

Tool to check whether a specific file format conversion is supported by ConvertAPI.

Delete Uploaded File

Tool to delete a previously uploaded file.

Get Supported Input Formats For Output

Retrieves a complete list of input file formats that ConvertAPI can convert to a specified output format.

Convert PDF to DOCX

Converts PDF content or a URL to DOCX and returns file metadata, with inline file data or download URLs depending on storage options.

Convert PDF to JPG and Store

Tool to convert a PDF to JPG and store the result on the server.

Upload File From URL

Tool to upload a file directly from a remote URL.

Download File

Downloads a converted or uploaded file from ConvertAPI using its file ID and filename, returning downloadable file content.

Download Uploaded File

Tool to download a previously uploaded file by its FileId.

Get Converter Spec

Tool to retrieve the OpenAPI specification for a specific file conversion endpoint.

Get File Info

Tool to get metadata information about a stored file without downloading it.

Get OpenAPI Schema

Tool to retrieve the complete OpenAPI 3.

Get Supported Output Formats For Input

Tool to list all output formats a given input format can be converted into.

Get User Information

Tool to get authenticated user account information including balance, conversions consumed, and remaining seconds.

Get User Statistics

Tool to retrieve usage statistics for the authenticated user account.

List All Converters

Tool to retrieve a comprehensive list of all available file converters in ConvertAPI.

FRAMEWORKS

How to build Convertapi MCP Agent with another framework

Claude Code

Use Convertapi MCP with Claude Code

Claude Cowork

Use Convertapi MCP with Claude Cowork

OpenAI Agents SDK

Use Convertapi MCP with OpenAI Agents SDK

Claude Agent SDK

Use Convertapi MCP with Claude Agent SDK

Grok Bot

Use Convertapi MCP with Grok Bot

Codex

Use Convertapi MCP with Codex

OpenClaw

Use Convertapi MCP with OpenClaw

Hermes

Use Convertapi MCP with Hermes

Atomic Agent

Use Convertapi MCP with Atomic Agent

Google ADK

Use Convertapi MCP with Google ADK

LangChain

Use Convertapi MCP with LangChain

Vercel AI SDK

Use Convertapi MCP with Vercel AI SDK

LlamaIndex

Use Convertapi MCP with LlamaIndex

CrewAI

Use Convertapi MCP with CrewAI

Pydantic AI

Use Convertapi MCP with Pydantic AI

AutoGen

Use Convertapi MCP with AutoGen

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Google Drive

Oauth2

Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.

Google Docs

Oauth2

Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze.

Google Super

Oauth2Api Key

Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.

ActiveMerge

Api Key

ActiveMerge is a document automation platform for generating documents, images, merged files, and e-signature workflows. It helps teams turn templates and stored files into finished, shareable documents faster.

FAQ

Frequently asked questions

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

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

Start with Convertapi.It takes 30 seconds.

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

Start building

How to integrate Convertapi MCP with Mastra AI

Connect Convertapi without auth hassles

Introduction

Also integrate Convertapi with

TL;DR

What is Mastra AI?

What is the Convertapi 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 Convertapi

Configure Mastra MCP client and fetch tools

Create the Mastra agent

Set up interactive chat interface

Complete Code

Conclusion

Supported Tools

How to build Convertapi MCP Agent with another framework

Claude Code

Claude Cowork

OpenAI Agents SDK

Claude Agent SDK

Grok Bot

Codex

OpenClaw

Hermes

Atomic Agent

Google ADK

LangChain

Vercel AI SDK

LlamaIndex

CrewAI

Pydantic AI

AutoGen

Explore Other Toolkits

Google Drive

Google Docs

Google Super

ActiveMerge

Frequently asked questions

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

Can I use Tool Router MCP with Mastra AI?

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

How safe is my data with Composio Tool Router?

Start with Convertapi.It takes 30 seconds.