# How to integrate Procfu MCP with Mastra AI ```json { "title": "How to integrate Procfu MCP with Mastra AI", "toolkit": "Procfu", "toolkit_slug": "procfu", "framework": "Mastra AI", "framework_slug": "mastra-ai", "url": "https://composio.dev/toolkits/procfu/framework/mastra-ai", "markdown_url": "https://composio.dev/toolkits/procfu/framework/mastra-ai.md", "updated_at": "2026-05-06T08:24:38.041Z" } ``` ## Introduction This guide walks you through connecting Procfu to Mastra AI using the Composio tool router. By the end, you'll have a working Procfu agent that can find new entries in updated google sheet, delete a specific file from google drive, generate random test users for qa through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Procfu account through Composio's Procfu MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Procfu with - [OpenAI Agents SDK](https://composio.dev/toolkits/procfu/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/procfu/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/procfu/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/procfu/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/procfu/framework/codex) - [OpenClaw](https://composio.dev/toolkits/procfu/framework/openclaw) - [Hermes](https://composio.dev/toolkits/procfu/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/procfu/framework/cli) - [Google ADK](https://composio.dev/toolkits/procfu/framework/google-adk) - [LangChain](https://composio.dev/toolkits/procfu/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/procfu/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/procfu/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/procfu/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 Procfu tools - Connect Mastra's MCP client to the Composio generated MCP URL - Fetch Procfu 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 Procfu 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 Procfu MCP server, and what's possible with it? The Procfu MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Procfu account. It provides structured and secure access to advanced Podio automations, letting your agent compare arrays, generate test data, interact with Google Drive and Sheets, and even harness OpenAI for creative tasks—all on your behalf. - Automated data comparison and manipulation: Have your agent find differences, additions, deletions, or intersections between two JSON arrays to quickly analyze data changes or synchronize lists. - Google Drive file management: Direct your agent to delete files or folders from your Google Drive, streamlining cleanup and organization without manual effort. - Dynamic test data and placeholder generation: Instantly generate dummy emails, numbers, images, or addresses for testing, prototyping, or populating demo environments. - Retrieve Google Sheets data: Ask your agent to pull contents from a specific Google Sheet as an array, making it easy to process, analyze, or migrate spreadsheet data. - Conversational AI and image generation: Let your agent query OpenAI GPT for answers or generate new images from text prompts, extending automation into creative and cognitive tasks. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `PROCFU_ARRAY_DIFF_DEL` | Array Difference Deletions | Tool to return items removed when comparing two JSON arrays. Use when you have two arrays and need to know which elements were deleted. | | `PROCFU_ARRAY_DIFF_NEW` | Array Diff New | Tool to return items added in the second JSON array. Use when you need to identify new elements between two list versions. Example: Compare [1,3,4] vs [1,3,6] to get [6]. | | `PROCFU_ARRAY_DIFF_SAME` | Array Diff Same | Tool to get items present in both JSON arrays. Computes the intersection locally to avoid external API dependency. Rules: - Two items are considered equal if their JSON representations match (with sorted keys for objects). - The result contains unique items present in both arrays, preserving the order they appear in json_array_b. | | `PROCFU_ARRAY_SORT` | Array Sort | Tool to sort a JSON array of values. Use when you need to order elements ascending or descending. | | `PROCFU_DELETE_GOOGLE_DRIVE` | Delete Google Drive | Tool to delete a Google Drive file or folder. Use after obtaining a valid Google Drive ID. | | `PROCFU_DUMMY_DATA` | Generate dummy data | Tool to generate dummy data. Use when you need random emails, text, numbers, dates, people, addresses, or images for testing or placeholder data. | | `PROCFU_GOOGLE_DRIVE_DELETE` | Google Drive Delete | Tool to delete a Google Drive file or folder. Use after obtaining a valid Google Drive ID. | | `PROCFU_OPEN_AI_GPT` | Ask question to OpenAI GPT | Tool to ask a question to OpenAI GPT. Use when you need a conversational answer from GPT. | | `PROCFU_OPEN_AI_IMAGE` | Generate Image with OpenAI | Tool to generate an image via OpenAI API. Use when you need programmatic image creation from a text prompt. | | `PROCFU_SHEETS_GET` | Get Google Sheet contents as array | Tool to get sheet contents as array. Use when you need to retrieve Google Sheet data as an associative array. | | `PROCFU_SHEETS_GET_METADATA` | Get Google Sheets Metadata | Tool to retrieve metadata of a Google Sheets spreadsheet, including sheet names, IDs, and properties. Use when you need sheet-level details for a given spreadsheet ID. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Procfu MCP server is an implementation of the Model Context Protocol that connects your AI agent to Procfu. It provides structured and secure access so your agent can perform Procfu 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 Procfu 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 Procfu What's happening: - create spins up a short-lived MCP HTTP endpoint for this user - The toolkits array contains "procfu" for Procfu 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: ["procfu"], }, ); const composioMCPUrl = session.mcp.url; console.log("Procfu 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 Procfu 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: "procfu-mastra-agent", instructions: "You are an AI agent with Procfu 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 Procfu 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: { procfu: 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: ["procfu"], }); const composioMCPUrl = session.mcp.url; const mcpClient = new MCPClient({ id: composioUserID as string, servers: { procfu: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); const composioTools = await mcpClient.getTools(); const agent = new Agent({ name: "procfu-mastra-agent", instructions: "You are an AI agent with Procfu 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: { procfu: 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 Procfu 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 Procfu MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/procfu/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/procfu/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/procfu/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/procfu/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/procfu/framework/codex) - [OpenClaw](https://composio.dev/toolkits/procfu/framework/openclaw) - [Hermes](https://composio.dev/toolkits/procfu/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/procfu/framework/cli) - [Google ADK](https://composio.dev/toolkits/procfu/framework/google-adk) - [LangChain](https://composio.dev/toolkits/procfu/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/procfu/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/procfu/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/procfu/framework/crew-ai) ## Related Toolkits - [Apilio](https://composio.dev/toolkits/apilio) - Apilio is a home automation platform that lets you connect and control smart devices from different brands. It helps you build flexible automations with complex conditions, schedules, and integrations. - [Basin](https://composio.dev/toolkits/basin) - Basin is a no-code form backend for quickly setting up reliable contact forms. It lets you collect and manage form submissions without writing any server-side code. - [Bouncer](https://composio.dev/toolkits/bouncer) - Bouncer is an email validation platform that verifies the authenticity of email addresses in real-time and batch. It helps boost deliverability and reduce bounce rates for your communications. - [Conveyor](https://composio.dev/toolkits/conveyor) - Conveyor is a platform that automates security reviews with a Trust Center and AI-driven questionnaire automation. It streamlines compliance and vendor security processes for faster, hassle-free reviews. - [Crowdin](https://composio.dev/toolkits/crowdin) - Crowdin is a localization management platform that streamlines translation workflows and collaboration. It helps teams centralize multilingual content, boost productivity, and automate translation processes. - [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights. - [Detrack](https://composio.dev/toolkits/detrack) - Detrack is a delivery management platform for real-time tracking and proof of delivery. It helps businesses automate notifications and keep customers updated every step of the way. - [Dnsfilter](https://composio.dev/toolkits/dnsfilter) - Dnsfilter is a cloud-based DNS security and content filtering solution. It helps organizations block online threats and manage safe internet access with ease. - [Faraday](https://composio.dev/toolkits/faraday) - Faraday lets you embed AI in workflows across your stack for smarter automation. It boosts your favorite tools with actionable intelligence and seamless integration. - [Feathery](https://composio.dev/toolkits/feathery) - Feathery is an AI-powered platform for building dynamic data intake forms with advanced logic. It helps teams automate complex workflows and collect structured data with ease. - [Fillout forms](https://composio.dev/toolkits/fillout_forms) - Fillout forms is an online platform for building and managing forms with a flexible API. It lets you create, distribute, and collect responses from forms with ease. - [Formdesk](https://composio.dev/toolkits/formdesk) - Formdesk is an online form builder for creating and managing professional forms. It's perfect for collecting data, automating workflows, and integrating form submissions with your favorite services. - [Formsite](https://composio.dev/toolkits/formsite) - Formsite lets you build online forms and surveys with drag-and-drop simplicity. Capture, manage, and integrate form responses securely for streamlined workflows. - [Graphhopper](https://composio.dev/toolkits/graphhopper) - GraphHopper is an enterprise-grade Directions API for routing, optimization, and geocoding across multiple vehicle types. It enables fast, reliable route planning and logistics automation for businesses. - [Hyperbrowser](https://composio.dev/toolkits/hyperbrowser) - Hyperbrowser is a next-generation platform for scalable browser automation. It empowers AI agents to interact with web apps, automate workflows, and handle browser sessions at scale. - [La Growth Machine](https://composio.dev/toolkits/lagrowthmachine) - La Growth Machine automates multi-channel sales outreach and routine tasks for sales teams. Streamline your workflow and focus on closing more deals. - [Leverly](https://composio.dev/toolkits/leverly) - Leverly is a workflow automation platform that connects and coordinates actions across your apps. It streamlines repetitive processes so your business runs smoother, faster, and with fewer manual steps. - [Maintainx](https://composio.dev/toolkits/maintainx) - Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination. - [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code. - [Ntfy](https://composio.dev/toolkits/ntfy) - Ntfy is a notification service to send push messages to phones or desktops. Instantly deliver alerts and updates to users, devices, or teams. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Procfu MCP? With a standalone Procfu MCP server, the agents and LLMs can only access a fixed set of Procfu tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Procfu 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 Procfu tools. ### Can I manage the permissions and scopes for Procfu while using Tool Router? Yes, absolutely. You can configure which Procfu 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 Procfu data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)