# How to integrate Nocrm io MCP with LangChain

```json
{
  "title": "How to integrate Nocrm io MCP with LangChain",
  "toolkit": "Nocrm io",
  "toolkit_slug": "nocrm_io",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/nocrm_io/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/nocrm_io/framework/langchain.md",
  "updated_at": "2026-05-12T10:20:20.566Z"
}
```

## Introduction

This guide walks you through connecting Nocrm io to LangChain using the Composio tool router. By the end, you'll have a working Nocrm io agent that can create a new lead for acme corp, add 'hot prospect' tag to lead 12345, assign lead 67890 to john smith through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Nocrm io account through Composio's Nocrm io MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Nocrm io with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Nocrm io project to Composio
- Create a Tool Router MCP session for Nocrm io
- Initialize an MCP client and retrieve Nocrm io tools
- Build a LangChain agent that can interact with Nocrm io
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## What is the Nocrm io MCP server, and what's possible with it?

The Nocrm io MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Nocrm io account. It provides structured and secure access to your lead management workflows, so your agent can create leads, assign owners, update statuses, tag and organize prospects, and manage teams automatically on your behalf.
- Automated lead creation and tracking: Instantly add new leads to your pipeline and ensure they're properly assigned to the right users for follow-up.
- Status and lifecycle management: Change lead statuses—like switching to 'standby' for scheduled follow-ups or marking leads as 'cancelled'—to keep your pipeline up to date.
- Contextual lead updates: Append notes or tags to lead descriptions, helping sales teams capture every interaction and never lose important context.
- Team and assignment coordination: Assign or reassign leads to users and fetch all teams and members, making it easier to distribute workload and manage ownership.
- Lead duplication and cleanup: Effortlessly duplicate high-value leads for multi-step workflows, or permanently delete leads when they’re no longer needed, keeping your CRM organized.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `NOCRM_IO_ADD_A_TAG_TO_A_LEAD` | Add a tag to a lead | Tool to add a tag to a lead. Use when you need to assign one or more tags to a specified lead via noCRM.io. |
| `NOCRM_IO_APPEND_TO_LEADS_DESCRIPTION` | Append to lead's description | Tool to append text to the lead's description. Use when you need to add context incrementally without overwriting. Example: Append 'Left voicemail' to lead 1234. |
| `NOCRM_IO_ASSIGN_LEAD_TO_USER` | Assign Lead to User | Tool to assign a lead to a user. Use when reassigning a lead to the correct owner to trigger assignment notification. |
| `NOCRM_IO_CHANGE_LEAD_STATUS_CANCELLED` | Change Lead Status to Cancelled | Tool to change a lead's status to 'Cancelled'. Use after confirming no further follow-up is needed and the lead should be marked as cancelled. |
| `NOCRM_IO_CHANGE_LEAD_STATUS_STANDBY` | Change lead status standby | Tool to change a lead's status to 'StandBy'. Use when scheduling follow-up after determining the next contact should occur in a set number of days. |
| `NOCRM_IO_CREATE_LEAD` | Create Lead | Tool to create a new lead. Use when adding a fresh prospect to your pipeline via noCRM.io. Example: Create a lead titled 'ACME Corp' assigned to a user. |
| `NOCRM_IO_DELETE_LEAD` | Delete Lead | Tool to delete a lead. Use when you need to permanently remove a specific lead after verifying it is no longer needed. |
| `NOCRM_IO_DUPLICATE_LEAD` | Duplicate Lead | Tool to duplicate a lead. Use when cloning an existing lead into a new step without overwriting original. |
| `NOCRM_IO_LIST_ALL_TEAMS` | List All Teams | Tool to retrieve all teams. Use when you need to fetch every team and its members from noCRM.io. |

## Supported Triggers

None listed.

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

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

No description provided.

### 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).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters 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's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Nocrm io tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Nocrm io tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
- This approach allows the agent to dynamically load and use Nocrm io tools as needed
```python
# Create Tool Router session for Nocrm io
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['nocrm_io']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['nocrm_io']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "nocrm_io-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "nocrm_io-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Nocrm io related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Nocrm io related question or task to the agent.\n");

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

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;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

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

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

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

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['nocrm_io']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "nocrm_io-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Nocrm io related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['nocrm_io']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "nocrm_io-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Nocrm io related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    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;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Nocrm io through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Nocrm io MCP Agent with another framework

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

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

### Can I use Tool Router MCP with LangChain?

Yes, you can. LangChain 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 Nocrm io tools.

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

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

---
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