How to integrate CompanyCam MCP with Mastra AI

This guide walks you through connecting CompanyCam to Mastra AI using the Composio tool router. By the end, you'll have a working CompanyCam agent that can create your projects, add project photos, tag your photos, create project tasks, and add comments through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a CompanyCam account through Composio's CompanyCam MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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CompanyCam is a photo-first jobsite management platform for project teams. It helps crews document work, coordinate jobs, and share visual updates fast.

24 Tools

Introduction

This guide walks you through connecting CompanyCam to Mastra AI using the Composio tool router. By the end, you'll have a working CompanyCam agent that can create your projects, add project photos, tag your photos, create project tasks, and add comments through natural language commands.

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

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

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

The CompanyCam MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your CompanyCam account. It provides structured and secure access to your projects, customers, jobsite photos, tasks, comments, labels, tags, and users, so your agent can create projects, document jobsites, coordinate tasks, organize photos, and share project updates on your behalf.

  • Project and customer management: Have your agent create, search, review, and update projects and customer records, including addresses, contact details, and notes.
  • Jobsite photo documentation: Direct your agent to add photos from public web links, review project photos, update photo descriptions, and organize images with tags.
  • Task coordination: Let the agent create, review, and update project tasks, track completion status, and assign available team members.
  • Project communication: Instruct your agent to add comments to projects or photos and review existing discussions before sharing an update.
  • Project organization: Have your agent apply project labels, create reusable photo tags, and find projects using lifecycle, assignee, or text-based searches.

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:

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

Step-by-step Guide

Step by step09 STEPS
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
2

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 CompanyCam through MCP.
3

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
4

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
5

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
6

Create a Tool Router session for CompanyCam

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

  const composioMCPUrl = session.mcp.url;
  console.log("CompanyCam MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "companycam" for CompanyCam access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

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 CompanyCam toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "companycam-mastra-agent",
    instructions: "You are an AI agent with CompanyCam 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
9

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: {
        companycam: 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 CompanyCam 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 CompanyCam 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: ["companycam"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

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

Add Comment

Add a comment to either a CompanyCam project or photo.

Add Photo Tags

Attach media tags by display name.

Add Project Labels

Attach project labels by display name.

Add Project Photo From URL

Add a photo to a CompanyCam project by having CompanyCam fetch a publicly reachable HTTPS image URL.

Create Customer

Create a CompanyCam customer with optional contact details, company status, notes, address, and initial contacts.

Create Project

Create a CompanyCam project with its required address and optional contact, customer, location, and template details.

Create Project Task

Create a task on a CompanyCam project with task details and optional assignees.

Create Photo Tag

Create a reusable CompanyCam media tag for organizing photos.

Get Account Context

Return the connected CompanyCam user and company so an agent can identify the account, role, and company before acting.

Get Photo

Get one CompanyCam photo by ID.

Get Project

Get one CompanyCam project by ID.

List Comments

List comments attached to either a CompanyCam project or photo.

List Customers

List or search CompanyCam customers by name or contact text.

List Project Labels

List reusable CompanyCam project labels that can be attached to projects.

List Project Photos

List and filter photos in a CompanyCam project by tags, users, or groups, one cursor page at a time.

List Projects

List projects with optional lifecycle and assigned-user filters, one cursor page at a time.

List Project Tasks

List tasks for a CompanyCam project, including status, completion, assignees, and attached media.

List Photo Tags

List reusable CompanyCam media tags and return an opaque cursor for the next page.

List Users

List CompanyCam users available for task assignment and project workflows.

Search Projects

Search CompanyCam projects by a free-text query when project list filters are insufficient.

Set Photo Description

Create or replace the description attached to a CompanyCam photo.

Update Customer

Update the name, notes, city, or postal code of an existing CompanyCam customer.

Update Project

Update editable project identity, address, or primary-contact fields without changing archive state.

Update Project Task

Update a CompanyCam project task's details or add and retain assignees.

FRAMEWORKS

How to build CompanyCam MCP Agent with another framework

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OpenAI Agents SDK

Use CompanyCam MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use CompanyCam MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use CompanyCam MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use CompanyCam MCP with Claude Cowork

Codex logo

Codex

Use CompanyCam MCP with Codex

OpenClaw logo

OpenClaw

Use CompanyCam MCP with OpenClaw

Hermes logo

Hermes

Use CompanyCam MCP with Hermes

CLI logo

CLI

Use CompanyCam MCP with CLI

Google ADK logo

Google ADK

Use CompanyCam MCP with Google ADK

LangChain logo

LangChain

Use CompanyCam MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use CompanyCam MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use CompanyCam MCP with LlamaIndex

CrewAI logo

CrewAI

Use CompanyCam MCP with CrewAI

FAQ

Frequently asked questions

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

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

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