# How to integrate Salesmate MCP with Mastra AI

```json
{
  "title": "How to integrate Salesmate MCP with Mastra AI",
  "toolkit": "Salesmate",
  "toolkit_slug": "salesmate",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/salesmate/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/salesmate/framework/mastra-ai.md",
  "updated_at": "2026-05-12T10:24:38.709Z"
}
```

## Introduction

This guide walks you through connecting Salesmate to Mastra AI using the Composio tool router. By the end, you'll have a working Salesmate agent that can add a new product called 'ultracrm' for $299, create a company record for acme corp, list all active users in salesmate through natural language commands.
This guide will help you understand how to give your Mastra AI agent real control over a Salesmate account through Composio's Salesmate MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Salesmate with

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

The Salesmate MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Salesmate account. It provides structured and secure access to your CRM data, so your agent can perform actions like registering companies, managing products, retrieving company info, and auditing users automatically on your behalf.
- Automated company creation and management: Instantly register new organizations in your CRM or fetch detailed records for existing companies by ID.
- Product catalog management: Add new products with specific names, SKUs, and prices, or remove outdated items from your product list on demand.
- Active user retrieval: Effortlessly pull a list of all currently active users for team assignments, audits, or workflow automation.
- Module discovery: Ask your agent to list all available modules in your Salesmate environment, making it easy to explore or configure your CRM setup.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SALESMATE_ADD_PRODUCT` | Add Product | Tool to add a new product. Use when you need to create a new product in Salesmate before referencing it (e.g., in deals or orders). Example: "Add a product named 'Widget Pro' (SKU WPRO1) priced at 199.99 USD." |
| `SALESMATE_CREATE_COMPANY` | Create Company | Tool to create a new company in the Salesmate CRM. Use when you need to register a new organization. |
| `SALESMATE_DELETE_PRODUCT` | Delete Product | Tool to delete a product by ProductId. Use when you need to remove a product from the catalog after confirming the correct ProductId. |
| `SALESMATE_GET_ACTIVE_USERS` | Get Active Users | Tool to retrieve all active users. Use when you need to fetch only users currently marked active for tasks, assignments, or user management audits. |
| `SALESMATE_GET_COMPANY` | Get Company | Tool to retrieve details of a specific company by ID. Use when you have a company ID and need its full record. Example: "Get company 42". |
| `SALESMATE_LIST_MODULES` | List Modules | Tool to list all available Salesmate modules. Returns the core CRM modules including Contacts, Companies, Deals, Activities, Products, and Tickets. Use this to discover which modules are available for API operations. |

## Supported Triggers

None listed.

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

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

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

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

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

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

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

## Related Toolkits

- [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.
- [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.
- [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.
- [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.
- [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.
- [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.
- [Bettercontact](https://composio.dev/toolkits/bettercontact) - Bettercontact is a smart contact enrichment tool for finding emails and phone numbers. It helps boost lead generation with automated, waterfall search across multiple sources.
- [Blackbaud](https://composio.dev/toolkits/blackbaud) - Blackbaud provides cloud-based software for nonprofits, schools, and healthcare institutions. It streamlines fundraising, donor management, and mission-driven operations.
- [Brilliant directories](https://composio.dev/toolkits/brilliant_directories) - Brilliant Directories is an all-in-one platform for building and managing online membership communities and business directories. It streamlines listings, member management, and engagement tools into a single, easy interface.
- [Capsule crm](https://composio.dev/toolkits/capsule_crm) - Capsule CRM is a user-friendly CRM platform for managing contacts and sales pipelines. It helps businesses organize relationships and streamline their sales process efficiently.
- [Centralstationcrm](https://composio.dev/toolkits/centralstationcrm) - CentralStationCRM is an easy-to-use CRM software focused on collaboration and long-term customer relationships. It helps teams manage contacts, deals, and communications all in one place.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Close](https://composio.dev/toolkits/close) - Close is a CRM platform built for sales teams, combining calling, email automation, and predictive dialers. It streamlines sales workflows and boosts productivity with all-in-one communication tools.
- [Dropcontact](https://composio.dev/toolkits/dropcontact) - Dropcontact is a B2B email finder and data enrichment service for professionals. It delivers verified email addresses and enriches contact info with up-to-date data.
- [Dynamics365](https://composio.dev/toolkits/dynamics365) - Dynamics 365 is Microsoft's platform combining CRM, ERP, and productivity apps. It streamlines sales, marketing, service, and operations in one place.
- [Espocrm](https://composio.dev/toolkits/espocrm) - EspoCRM is an open-source web application for managing customer relationships. It helps businesses organize contacts, track leads, and streamline their sales process.
- [Fireberry](https://composio.dev/toolkits/fireberry) - Fireberry is a CRM platform that streamlines customer and sales management. It helps businesses organize contacts, automate sales, and integrate with other business tools.

## Frequently Asked Questions

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

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

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

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

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