# How to integrate Clientary MCP with Mastra AI

```json
{
  "title": "How to integrate Clientary MCP with Mastra AI",
  "toolkit": "Clientary",
  "toolkit_slug": "clientary",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/clientary/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/clientary/framework/mastra-ai.md",
  "updated_at": "2026-03-29T06:27:37.976Z"
}
```

## Introduction

This guide walks you through connecting Clientary to Mastra AI using the Composio tool router. By the end, you'll have a working Clientary agent that can create new invoice for a client, list all active projects this month, send payment reminder to overdue clients through natural language commands.
This guide will help you understand how to give your Mastra AI agent real control over a Clientary account through Composio's Clientary MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Clientary with

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

The Clientary MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Clientary account. It provides structured and secure access so your agent can perform Clientary operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CLIENTARY_CREATE_CLIENT` | Create Client | Tool to create a new client record in Clientary. Use when you need to add a new client to the system with company details and contact information. |
| `CLIENTARY_CREATE_CONTACT` | Create Contact | Tool to create a new contact within a specified client. Use when you need to add a contact to a client account with name and email as required fields. |
| `CLIENTARY_CREATE_EXPENSE` | Create Expense | Tool to create a new expense record in Clientary to track expenditures within your account. Use when you need to record expenses, optionally assigning them to specific clients or projects. Requires an amount field. |
| `CLIENTARY_CREATE_LEAD` | Create Lead | Tool to create a new lead record in Clientary. Use when you need to add a new lead to the system with company details and contact information. |
| `CLIENTARY_CREATE_PROJECT` | Create Project | Tool to create a new project in Clientary with name and rate. Use when you need to set up a new project for tracking time, expenses, or managing client work. |
| `CLIENTARY_CREATE_TASK` | Create Task | Tool to create a new task in Clientary. Use when you need to create a task with a title, optionally associating it with a project and assignee. |
| `CLIENTARY_DELETE_CLIENT` | Delete Client | Tool to remove a client and all associated projects, invoices, estimates, and contacts. Use when you need to permanently delete a client from Clientary. WARNING: Deletions are permanent and not reversible. |
| `CLIENTARY_DELETE_LEAD` | Delete Lead | Tool to permanently delete a lead and all associated Estimates and Contacts. Use when you need to remove a lead that is no longer needed. Warning: This action is irreversible. |
| `CLIENTARY_DELETE_PAYMENT` | Delete Payment | Tool to remove an existing payment from an invoice. Use when you need to permanently delete a payment record. WARNING: Deletions are permanent and not reversible. |
| `CLIENTARY_DELETE_PAYMENT_PROFILE` | Delete Payment Profile | Tool to remove a specific payment profile from a client's account. Use when you need to delete a payment profile. Note: Client must have an active payment integration with Stripe to manage payment profiles. |
| `CLIENTARY_DELETE_RECURRING_SCHEDULE` | Delete Recurring Schedule | Tool to remove a recurring schedule by its identifier. Use when you need to permanently delete a recurring schedule from Clientary. Once deleted, the recurring schedule will no longer generate periodic invoices. |
| `CLIENTARY_GET_CLIENT` | Get Client | Tool to fetch details for a specific client using its ID. Use when you need to retrieve complete information about a client from Clientary. |
| `CLIENTARY_GET_CONTACT` | Get Contact | Tool to retrieve a single contact by its ID. Use when you need to fetch detailed information about a specific contact from Clientary. |
| `CLIENTARY_GET_ESTIMATE` | Get Estimate | Tool to retrieve details for a single estimate by ID. Use when you need to obtain comprehensive estimate information including line items, tax details, and financial data. |
| `CLIENTARY_GET_EXPENSE` | Get Expense | Tool to retrieve details for a single expense record in Clientary. Use when you need to get specific information about an expense by its unique identifier. |
| `CLIENTARY_GET_HOUR_ENTRY` | Get Hour Entry | Tool to obtain details about a specific time entry in Clientary. Use when you need to retrieve information about a logged hour entry by its unique identifier. |
| `CLIENTARY_GET_INVOICE` | Get Invoice | Tool to retrieve detailed information for a specific invoice by ID. Use when you need to fetch invoice details including line items, payments, tax information, and current status. |
| `CLIENTARY_GET_LEAD` | Get Lead | Tool to retrieve a single lead by its ID. Use when you need to fetch detailed information about a specific lead from Clientary. |
| `CLIENTARY_GET_PROJECT` | Get Project | Tool to retrieve a single project by its identifier. Use when you need to fetch detailed information about a specific project in Clientary. |
| `CLIENTARY_GET_STAFF` | Get Staff | Tool to retrieve a single staff member by their ID. Use when you need to fetch detailed information about a specific staff member from Clientary. |
| `CLIENTARY_GET_TASK` | Get Task | Tool to retrieve a specific task by its ID. Use when you need to fetch detailed information about a task from Clientary. |
| `CLIENTARY_LIST_CLIENT_CONTACTS` | List Client Contacts | Tool to retrieve all contacts for a specific client with pagination support. Use when you need to fetch the list of contacts associated with a particular client in Clientary. |
| `CLIENTARY_LIST_CLIENT_EXPENSES` | List Client Expenses | Tool to retrieve all expenses for a specific client within an optional date range. Use when you need to fetch expense records associated with a particular client from Clientary. |
| `CLIENTARY_LIST_CLIENT_INVOICES` | List Client Invoices | Tool to retrieve all invoices for a specific client with pagination support (30 results per page). Use when you need to fetch invoices associated with a particular client from Clientary. |
| `CLIENTARY_LIST_CLIENT_PROJECTS` | List Client Projects | Tool to retrieve all projects associated with a specific client with pagination support (10 results per page). Use when you need to fetch projects for a particular client from Clientary. |
| `CLIENTARY_LIST_CLIENTS` | List Clients | Tool to retrieve all clients with pagination support (10 results per page). Use when you need to fetch a list of clients from Clientary with optional filtering by modification date or custom sorting. |
| `CLIENTARY_LIST_EXPENSES` | List Expenses | Tool to retrieve expenses by date range (defaults to current fiscal year). Use when you need to fetch a list of expenses from Clientary with optional filtering by start and end dates. |
| `CLIENTARY_LIST_LEADS` | List Leads | Tool to retrieve all leads with pagination support. Use when you need to fetch a list of leads from Clientary with optional sorting by name or date. |
| `CLIENTARY_LIST_PAYMENTS` | List Payments | Tool to retrieve all payments with pagination support (30 results per page). Use when you need to fetch a list of payments from Clientary with optional pagination and custom sorting. |
| `CLIENTARY_LIST_PROJECT_ESTIMATES` | List Project Estimates | Tool to retrieve estimates scoped to a particular project with pagination support (30 results per page). Use when you need to fetch all estimates associated with a specific project. |
| `CLIENTARY_LIST_PROJECT_EXPENSES` | List Project Expenses | Tool to retrieve all expenses for a specific project within an optional date range. Use when you need to fetch expense records associated with a particular project from Clientary. |
| `CLIENTARY_LIST_PROJECT_HOURS` | List Project Hours | Tool to retrieve all time tracking entries logged against a specific project. Use when you need to fetch hour entries for a particular project, optionally filtering by billed or unbilled status. |
| `CLIENTARY_LIST_PROJECT_INVOICES` | List Project Invoices | Tool to retrieve all invoices linked to a specific project with pagination support (30 results per page). Use when you need to fetch invoices associated with a particular project from Clientary. |
| `CLIENTARY_LIST_PROJECTS` | List Projects | Tool to retrieve all projects with pagination support (10 results per page). Use when you need to fetch a list of projects from Clientary with optional filtering for closed projects. |
| `CLIENTARY_LIST_STAFF` | List Staff | Tool to retrieve all staff members for an account. Use when you need to fetch a complete list of staff members from Clientary. |
| `CLIENTARY_LIST_TASKS` | List Tasks | Tool to retrieve all tasks with pagination support (50 results per page). Use when you need to fetch a list of tasks from Clientary. |
| `CLIENTARY_SEND_INVOICE_MESSAGE` | Send Invoice Message | Tool to send an invoice message to recipients via email. Use when you need to email an invoice to clients with customizable subject, message content, and options to send a copy to yourself or attach a PDF. |
| `CLIENTARY_UPDATE_CLIENT` | Update Client | Tool to update an existing client record in Clientary with partial or complete field modifications. Use when you need to modify client details such as name, address, description, or custom fields. All fields except ID are optional. |
| `CLIENTARY_UPDATE_EXPENSE` | Update Expense | Tool to update an existing expense record in Clientary with partial or complete field modifications. Use when you need to modify expense details such as amount, description, client assignment, project assignment, or incurred date. All fields except ID are optional. |
| `CLIENTARY_UPDATE_HOUR_ENTRY` | Update Hour Entry | Tool to modify an existing time entry in Clientary with partial or complete field updates. Use when you need to update hours, title, date, description, rate, or billing status of a logged hour entry. |
| `CLIENTARY_UPDATE_PROJECT` | Update Project | Tool to update an existing project in Clientary with partial or complete field modifications. Use when you need to modify project details such as name, rate, description, budget, status, or other project attributes. All fields except ID are optional - only provided fields will be updated. |
| `CLIENTARY_UPDATE_TASK` | Update Task | Tool to update an existing task in Clientary with partial or complete field modifications. Use when you need to modify task details such as title, description, completion status, assignee, or due date. All fields except ID are optional. |

## Supported Triggers

None listed.

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

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

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

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

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

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

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

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Pipedrive](https://composio.dev/toolkits/pipedrive) - Pipedrive is a sales management platform offering pipeline visualization, lead tracking, and workflow automation. It helps sales teams keep deals moving forward efficiently and never miss a follow-up.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Salesforce](https://composio.dev/toolkits/salesforce) - Salesforce is a leading CRM platform that helps businesses manage sales, service, and marketing. It centralizes customer data, enabling teams to drive growth and build strong relationships.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Apollo](https://composio.dev/toolkits/apollo) - Apollo is a CRM and lead generation platform that helps businesses discover contacts and manage sales pipelines. Use it to streamline customer outreach and track your deals from one place.
- [Attio](https://composio.dev/toolkits/attio) - Attio is a customizable CRM and workspace for managing your team's relationships and workflows. It helps teams organize contacts, automate tasks, and collaborate more efficiently.
- [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide.
- [Acculynx](https://composio.dev/toolkits/acculynx) - AccuLynx is a cloud-based roofing business management software for contractors. It streamlines project tracking, lead management, and document sharing.
- [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.
- [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.
- [Affinity](https://composio.dev/toolkits/affinity) - Affinity is a relationship intelligence CRM that helps private capital investors find, manage, and close more deals. It streamlines deal flow and surfaces key connections to help you win opportunities.
- [Agencyzoom](https://composio.dev/toolkits/agencyzoom) - AgencyZoom is a sales and performance platform built for P&C insurance agencies. It helps agents boost sales, retain clients, and analyze producer results in one place.

## Frequently Asked Questions

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

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

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

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

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