# How to integrate Pipeline crm MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Pipeline crm MCP with OpenAI Agents SDK",
  "toolkit": "Pipeline crm",
  "toolkit_slug": "pipeline_crm",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/pipeline_crm/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/pipeline_crm/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:22:07.384Z"
}
```

## Introduction

This guide walks you through connecting Pipeline crm to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Pipeline crm agent that can list all leads added this week, get details for deal with id 789, delete company with id 123 through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Pipeline crm account through Composio's Pipeline crm MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Pipeline crm with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Pipeline crm
- Configure an AI agent that can use Pipeline crm as a tool
- Run a live chat session where you can ask the agent to perform Pipeline crm operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Pipeline crm MCP server, and what's possible with it?

The Pipeline crm MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Pipeline crm account. It provides structured and secure access to your sales pipeline data, so your agent can perform actions like tracking leads, managing deals, updating company information, organizing tasks, and streamlining sales workflows on your behalf.
- Lead and company management: Effortlessly list, retrieve, or delete companies and leads, making it easy to keep your CRM up to date and focused on the right opportunities.
- Deal tracking and stage management: Let your agent fetch deal details, monitor deal stages, or remove outdated deals to ensure your pipeline always reflects current sales activity.
- Calendar task organization: Automatically list and retrieve calendar tasks, or pull specific task details by ID to stay on top of follow-ups and scheduled activities.
- Comprehensive sales workflow automation: Ask your agent to enumerate deal stages, manage associated tasks, and streamline repetitive CRM operations so your team can focus on closing more deals.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PIPELINE_CRM_CREATE_COMPANY` | Create Pipeline CRM Company | Creates a new company record in Pipeline CRM with contact details, address, and social media information. Use this tool when you need to add a new company to the CRM system. The only required field is the company name. You can optionally include contact information (email, phone, fax), address details, social media links, and assign owners or tags. Set check_for_duplicates=true to prevent creating companies with duplicate names. |
| `PIPELINE_CRM_CREATE_DEAL` | Create Deal | Tool to create a new deal in Pipeline CRM. Use after gathering all details. Example: Create a deal named 'Big Partnership' worth 50000 USD in stage 2. |
| `PIPELINE_CRM_DELETE_COMPANY` | Delete Company | Tool to delete a company by ID in Pipeline CRM. Use after confirming the company ID is correct. Example: "Delete company with ID 123". |
| `PIPELINE_CRM_DELETE_DEAL` | Delete Deal | Tool to delete a deal by ID. Use when you need to remove a deal from Pipeline CRM. |
| `PIPELINE_CRM_DELETE_TASK` | Delete calendar task | Tool to delete a calendar task by ID. Use after confirming the task exists in Pipeline CRM. |
| `PIPELINE_CRM_GET_COMPANY` | Get Company by ID | Retrieves comprehensive details for a specific company by ID from Pipeline CRM. Returns complete company information including contact details (multiple phones, email, social media), full address breakdown, owner details, financial metrics (pipeline/won deals totals), custom fields, tags, and next scheduled tasks. Use this when you need detailed information about a company after obtaining its ID from LIST_COMPANIES or CREATE_COMPANY actions. |
| `PIPELINE_CRM_GET_DEAL` | Get Deal by ID | Tool to retrieve details for a specific deal by ID in Pipeline CRM. Use after confirming the deal ID. |
| `PIPELINE_CRM_GET_STAGE` | Get Deal Stage by ID | Tool to retrieve details for a specific stage by ID in Pipeline CRM. Use after confirming the stage ID. |
| `PIPELINE_CRM_GET_TASK` | Get calendar task by ID | Tool to retrieve details for a specific task by ID in Pipeline CRM. Use after confirming the task ID. |
| `PIPELINE_CRM_LIST_COMPANIES` | List Companies | List companies in Pipeline CRM with optional filtering, sorting, and pagination. Returns a paginated list of companies with comprehensive details including contact information, address, owner, custom fields, and tags. Supports search filtering and sorting by any field. Use this to retrieve multiple companies or search for specific companies by name or other attributes. |
| `PIPELINE_CRM_LIST_LEADS` | List Leads | Tool to list leads in Pipeline CRM. Use when you need to fetch multiple leads with optional filtering and pagination. For large datasets, iterate through pages using `page` and `per_page` together; a single `per_page` value does not return all leads. |
| `PIPELINE_CRM_LIST_STAGES` | List Deal Stages | Tool to list deal stages. Use when you need to enumerate all stages for deals in Pipeline CRM. |
| `PIPELINE_CRM_LIST_TASKS` | List calendar tasks | Tool to list calendar tasks. Use when retrieving tasks for a deal, company, or person with optional date filters and pagination. |
| `PIPELINE_CRM_LIST_USERS` | List Users | List users in Pipeline CRM account with optional pagination. Returns a paginated list of users with their details including email, name, role, status, and admin privileges. Use this to retrieve user information for assignment, reporting, or user management purposes. For large accounts, iterate through pages using `page` and `per_page` parameters. Requires admin access to the API. |
| `PIPELINE_CRM_UPDATE_COMPANY` | Update Company | Tool to update an existing company by ID in Pipeline CRM. Use after confirming the company ID and fields to change. |

## Supported Triggers

None listed.

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

The Pipeline crm MCP server is an implementation of the Model Context Protocol that connects your AI agent to Pipeline crm. It provides structured and secure access so your agent can perform Pipeline crm 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Pipeline crm project
- Some knowledge of Python or 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'll need credits to use the models, or you can connect to another model provider.
- Keep the API key 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.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Pipeline crm.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only pipeline_crm.
- The router checks the user's Pipeline crm connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Pipeline crm.
- This approach keeps things lightweight and lets the agent request Pipeline crm tools only when needed during the conversation.
```python
# Create a Pipeline crm Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["pipeline_crm"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Pipeline crm
const session = await composio.create(userId as string, {
  toolkits: ['pipeline_crm'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Pipeline crm. "
        "Help users perform Pipeline crm operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Pipeline crm. Help users perform Pipeline crm operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["pipeline_crm"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Pipeline crm. "
        "Help users perform Pipeline crm operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['pipeline_crm'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Pipeline crm. Help users perform Pipeline crm operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Pipeline crm MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Pipeline crm.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Pipeline crm MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/pipeline_crm/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/pipeline_crm/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/pipeline_crm/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/pipeline_crm/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/pipeline_crm/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/pipeline_crm/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/pipeline_crm/framework/cli)
- [Google ADK](https://composio.dev/toolkits/pipeline_crm/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/pipeline_crm/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/pipeline_crm/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/pipeline_crm/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/pipeline_crm/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/pipeline_crm/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 Pipeline crm MCP?

With a standalone Pipeline crm MCP server, the agents and LLMs can only access a fixed set of Pipeline crm tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Pipeline crm and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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 Pipeline crm tools.

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

Yes, absolutely. You can configure which Pipeline crm 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 Pipeline crm 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)