# How to integrate NetHunt CRM MCP with LangChain

```json
{
  "title": "How to integrate NetHunt CRM MCP with LangChain",
  "toolkit": "NetHunt CRM",
  "toolkit_slug": "nethunt_crm",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/nethunt_crm/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/nethunt_crm/framework/langchain.md",
  "updated_at": "2026-03-29T06:43:05.290Z"
}
```

## Introduction

This guide walks you through connecting NetHunt CRM to LangChain using the Composio tool router. By the end, you'll have a working NetHunt CRM agent that can list all open deals assigned to me, add a new contact with email and phone, update the stage of deal 'acme inc.' to 'negotiation' through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a NetHunt CRM account through Composio's NetHunt CRM MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate NetHunt CRM with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your NetHunt CRM project to Composio
- Create a Tool Router MCP session for NetHunt CRM
- Initialize an MCP client and retrieve NetHunt CRM tools
- Build a LangChain agent that can interact with NetHunt CRM
- 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 NetHunt CRM MCP server, and what's possible with it?

The NetHunt 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 NetHunt CRM account. It provides structured and secure access so your agent can perform NetHunt CRM operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `NETHUNT_CRM_DELETE_RECORD` | Delete Record | Tool to delete a NetHunt CRM record by ID. Use when you need to permanently remove a record from the system. |
| `NETHUNT_CRM_FIND_RECORDS` | Find Records | Tool to find records by ID or text query in NetHunt CRM. Search for records within a folder using record ID or search query. Use when you need to locate specific records in a folder. |
| `NETHUNT_CRM_GET_NEW_CALL_LOGS` | Get New Call Logs | Find recently created call logs in NetHunt CRM. Returns call logs created after a specified time. Use when you need to retrieve new call activity from a specific folder. |
| `NETHUNT_CRM_GET_NEW_COMMENTS` | Get New Comments | Tool to find recently created record comments in a NetHunt CRM folder. Returns comments created after a specified time (defaults to last 24 hours). |
| `NETHUNT_CRM_GET_NEW_GOOGLE_DRIVE_FILES` | Get New Google Drive Files | Tool to find recently created Google Drive files linked to NetHunt CRM records. Use when you need to retrieve files created after a specific time in a NetHunt folder. Returns file metadata including Google Drive links, MIME types, and associated record IDs. Useful for tracking new document uploads and file attachments. |
| `NETHUNT_CRM_GET_NEW_RECORDS` | Get New Records | Tool to find recently created records in NetHunt CRM. Use when you need to retrieve records that were created after a specific time in a given folder. Returns record details including ID, creation time, and field values. If no 'since' time is specified, returns records from the last 24 hours. |
| `NETHUNT_CRM_GET_RECORD_CHANGES` | Get Record Changes | Tool to find recent record changes in a NetHunt CRM folder. Returns change history including CREATE, UPDATE, DELETE actions with field-level diffs. Use when you need to track modifications to records, audit changes, or sync data based on recent updates. |
| `NETHUNT_CRM_GET_UPDATED_RECORDS` | Get Updated Records | Tool to find recently updated records in NetHunt CRM. Returns records updated after a specified time, optionally filtered by field names. Use when you need to track changes or sync records that have been modified. |
| `NETHUNT_CRM_LIST_FOLDER_FIELDS` | List Folder Fields | Tool to list folder fields in NetHunt CRM. Returns the field definitions for a specific folder. Use when you need to retrieve all field metadata for a given folder ID. |
| `NETHUNT_CRM_LIST_READABLE_FOLDERS` | List Readable Folders | Tool to list all accessible folders in NetHunt CRM. Returns folders the user has read access to. Use when you need to retrieve available folders for organizing or accessing records. |
| `NETHUNT_CRM_LIST_WRITABLE_FOLDERS` | List Writable Folders | Tool to list folders the user can create records in. Returns folders the user has write access to. Use when you need to retrieve writable folders for creating new records. |
| `NETHUNT_CRM_TEST_NETHUNT_CRM_AUTHENTICATION` | Test NetHunt CRM Authentication | Tool to verify request credentials and test authentication. Returns information about the authenticated user including name and email. Use this action to confirm API credentials are valid before making other requests. |

## Supported Triggers

None listed.

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

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

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 NetHunt CRM 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 NetHunt CRM 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 NetHunt CRM tools as needed
```python
# Create Tool Router session for NetHunt CRM
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['nethunt_crm']
)

url = session.mcp.url
```

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

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

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

No description provided.
```python
client = MultiServerMCPClient({
    "nethunt_crm-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({
    "nethunt_crm-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 NetHunt CRM 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 NetHunt CRM 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=['nethunt_crm']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "nethunt_crm-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 NetHunt CRM 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: ['nethunt_crm']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "nethunt_crm-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 NetHunt CRM 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 NetHunt CRM 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 NetHunt CRM MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/nethunt_crm/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/nethunt_crm/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/nethunt_crm/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/nethunt_crm/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/nethunt_crm/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/nethunt_crm/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/nethunt_crm/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/nethunt_crm/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/nethunt_crm/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/nethunt_crm/framework/cli)
- [Google ADK](https://composio.dev/toolkits/nethunt_crm/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/nethunt_crm/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/nethunt_crm/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/nethunt_crm/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/nethunt_crm/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.
- [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.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and NetHunt CRM MCP?

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

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

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

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