How to integrate Egnyte MCP with LangChain

Connect LangChain to Egnyte MCP. List all files in your egnyte projects folder, share the latest contract with the legal team, and more using natural language, with authentication handled for you.

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Egnyte

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Egnyte is a cloud-based platform for secure file sharing, storage, and governance. It helps teams collaborate efficiently while maintaining data compliance and security.

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Introduction

This guide walks you through connecting Egnyte to LangChain using the Composio tool router. By the end, you'll have a working Egnyte agent that can list all files in your egnyte projects folder, share the latest contract with the legal team, search egnyte for documents about q2 planning through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a Egnyte account through Composio's Egnyte MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Egnyte with

Claude Code Claude Cowork OpenAI Agents SDK Claude Agent SDK Grok Bot Codex OpenClaw Hermes Atomic Agent Google ADK Vercel AI SDK Mastra AI LlamaIndex CrewAI Pydantic AI AutoGen

TL;DR

Here's what you'll learn:

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

The Egnyte MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Egnyte account. It provides structured and secure access to your files, folders, shared links, users, groups, notes, and metadata, so your agent can search content, manage files, create shared links, organize users and groups, and review account information on your behalf.

File search and retrieval: Instruct your agent to search files using metadata filters, inspect file or folder details, and download the content you need.
File uploads and updates: Have your agent upload a new file or update an existing file at a chosen location in Egnyte.
Secure content sharing: Let the agent create shared links for files or folders with access and expiration settings, list existing links, and review your domain's sharing rules.
User and group administration: Direct your agent to create users or groups, add group members, list people and groups, and retrieve user details.
Content governance and cleanup: Have your agent review file metadata, remove metadata namespaces, or delete notes and comments that are no longer needed.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step10 STEPS

Prerequisites

Before starting this tutorial, make sure you have:

Python 3.10 or higher installed on your system
A Composio account with an API key
An OpenAI API key
Basic familiarity with Python and async programming

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard 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.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

@composio/langchain provides Composio integration for LangChain
@langchain/mcp-adapters enables MCP client connections
@langchain/core is the core agent framework
dotenv/config loads environment variables

Set up environment variables

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

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

Import dependencies

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();

What's happening:

We're importing LangChain's MCP adapter and Composio SDK
The dotenv/config import loads environment variables from your .env file
This setup prepares the foundation for connecting LangChain with Egnyte functionality through MCP

Initialize Composio client

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()
    });

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 Egnyte tools
Validating that COMPOSIO_USER_ID is also set before proceeding

Create a Tool Router session

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

const url = session.mcp.url;

What's happening:

We're creating a Tool Router session that gives your agent access to Egnyte 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 Egnyte tools as needed

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "egnyte-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 });

What's happening:

We're creating a MultiServerMCPClient that connects to our Egnyte MCP server via HTTP
The client is configured with a name and the URL from our Tool Router session
getTools() retrieves all available Egnyte tools that the agent can use
We're creating a LangChain agent using the GPT-5 model

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Egnyte 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);
    });

What's happening:

We initialize an empty conversationHistory list to maintain context across interactions
A readline interface is used to continuously accept user input from the command line
When a user types a message, it's added to the conversation history and sent to the agent
The agent processes the request using the invoke() method with the full conversation history
Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully

Run the application

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

What's happening:

We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Egnyte and LangChain:

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: ['egnyte']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "egnyte-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 Egnyte 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 Egnyte 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.

TOOLS

Supported Tools

Every Egnyte action and event your agent gets out of the box.

Create Permissions Audit Report

Tool to generate a permissions audit report for specified date range and filters.

Create user audit report

Tool to create a user audit report in Egnyte.

Create Bookmark

Tool to create a bookmark on a folder using either path or folder_id.

Create Comment

Tool to create a new comment/note on a file in Egnyte.

Create File Audit Report

Tool to generate a file activity audit report for specified date range and filters.

Create Group

Tool to create a new group with display name and members.

Create Shared Link

Tool to create a shared link for a file or folder with accessibility and expiration settings.

Create Login Audit Report

Tool to generate a login audit report for specified date range and filters.

Create User

Tool to create a new user in the Egnyte domain.

Delete Audit Report

Tool to delete an audit report from Egnyte.

Delete Bookmark

Tool to delete a bookmark from the user's bookmarks.

Delete File By ID

Delete a file using persistent file ID.

Delete file or folder

Tool to delete a file or folder at the specified path.

Delete Group

Tool to delete a group from the Egnyte domain.

Delete Shared Link

Tool to delete a shared link by its ID.

Delete Metadata Key

Tool to delete a metadata key from a namespace.

Delete Metadata Namespace

Tool to delete a metadata namespace.

Delete Note

Tool to delete a note/comment in Egnyte by its UUID.

Delete User

Tool to delete a user from the Egnyte domain using the SCIM-compliant endpoint.

Download File

Tool to download file content from a specified path in Egnyte.

Download File By ID

Tool to download file content using persistent file ID from Egnyte.

Get Audit Report

Tool to retrieve an audit report by type and ID.

Get audit job status

Tool to check the status of an audit report generation job.

Get Audit Stream

Tool to stream audit events starting from a specific date.

Get Bookmark

Tool to retrieve details for a specific bookmark by its ID.

Get Events Cursor

Tool to get the latest event cursor position for starting event polling.

Get Events V2

Tool to poll for events (v2) including permission_change event type in addition to file_system and note types.

Get File Metadata by ID

Tool to retrieve file metadata using persistent file ID (group_id) instead of path.

Get file or folder metadata

Tool to get file or folder metadata from Egnyte.

Get File Metadata Values

Tool to retrieve custom metadata values for a file or file version within a specific namespace.

Get Folder By ID

Tool to get folder metadata using a persistent folder ID instead of a path.

Get Folder Statistics

Tool to get statistics for a folder by ID including file counts, folder counts, and size information.

Get Group Details

Tool to retrieve details for a specific group including members and attributes.

Get Link Details

Tool to get detailed information about a shared link by its ID.

Get Link Settings

Tool to retrieve domain link settings including default expiration and allowed link types.

Get Folder Permissions

Tool to get effective permissions for a folder including users and groups with their permission levels.

Get User by ID

Tool to retrieve details for a single user by ID.

Get User Info

Tool to get information about the currently authenticated user.

List Bookmarks

Tool to list all bookmarked folders for the authenticated user with pagination support.

List Comments

Tool to list all comments/notes on a file in Egnyte.

List Groups

Tool to list all custom groups in the Egnyte domain.

List Insights Files

Tool to list recently accessed files for the authenticated user.

List Links V2

Tool to list all shared links using the v2 API with extended response fields.

List Metadata Namespaces

Tool to list all custom metadata keys in a namespace.

List Users

Tool to retrieve all users or a filtered subset from the Egnyte domain.

List workflows

Tool to list all workflows in Egnyte.

List Workflow Tasks

Tool to list all workflow tasks.

Lock File

Tool to lock a file to prevent edits by other users.

Replace Group (PUT)

Tool to fully replace a group's attributes including display name and members.

Advanced Search with Metadata Filters

Tool to perform advanced search with custom metadata filtering in Egnyte using v2 API.

Set File Metadata Values

Tool to set custom metadata values for a file or file version within a specific namespace.

Set Folder Metadata Values

Tool to set custom metadata values for a folder within a namespace.

Set Folder Permissions

Tool to set folder permissions for users or groups.

Stream Audit Events

Tool to stream audit events with filtering by audit types (FILE_AUDIT, LOGIN_AUDIT, PERMISSION_AUDIT).

Update Folder Options

Tool to update folder options including description and other settings.

Update Group

Tool to update specific attributes of a group including display name and members.

Update Metadata Key

Tool to update key definitions including display name, help text, data values for enums, and priority.

Update Metadata Namespace

Tool to update key definitions of a metadata namespace.

Update User

Tool to update specific attributes of a user in the Egnyte domain using the SCIM-compliant endpoint.

Upload File

Tool to upload or update a file at the specified path in Egnyte.

FRAMEWORKS

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Claude Code

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Claude Cowork

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OpenAI Agents SDK

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Claude Agent SDK

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Grok Bot

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Codex

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OpenClaw

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Hermes

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Atomic Agent

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Google ADK

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Vercel AI SDK

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Mastra AI

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LlamaIndex

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CrewAI

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Pydantic AI

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AutoGen

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MORE TOOLKITS

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Toolkit marketplace

Gmail

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Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.

Google Drive

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Outlook

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Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.

Google Sheets

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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.

FAQ

Frequently asked questions

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

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 Egnyte tools.

Yes, absolutely. You can configure which Egnyte 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.

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 Egnyte data and credentials are handled as safely as possible.

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How to integrate Egnyte MCP with LangChain

Connect Egnyte without auth hassles

Introduction

Also integrate Egnyte with

TL;DR

What is LangChain?

What is the Egnyte MCP server, and what's possible with it?

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Initialize Composio client

Create a Tool Router session

Configure the agent with the MCP URL

Set up interactive chat interface

Run the application

Complete Code

Conclusion

Supported Tools

How to build Egnyte MCP Agent with another framework

Claude Code

Claude Cowork

OpenAI Agents SDK

Claude Agent SDK

Grok Bot

Codex

OpenClaw

Hermes

Atomic Agent

Google ADK

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Pydantic AI

AutoGen

Explore Other Toolkits

Gmail

Google Drive

Outlook

Google Sheets

Frequently asked questions

What are the differences in Tool Router MCP and Egnyte MCP?+

Can I use Tool Router MCP with LangChain?+

Can I manage the permissions and scopes for Egnyte while using Tool Router?+

How safe is my data with Composio Tool Router?+

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