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Egnyte MCP Server

Egnyte MCP Server

Local
github.com/egnyteFiles & Storage9Updated 77w ago

About Egnyte MCP Server

Egnyte MCP Server connects an Egnyte domain to AI agents such as Cursor, Claude, or OpenAI for document search and retrieval. It uses Egnyte’s public APIs and Python SDK while respecting existing permissions.

Key features

  1. 01Search documents by filename
  2. 02Retrieve relevant Egnyte documents
  3. 03Respect existing access permissions
  4. 04Connect through Egnyte APIs and Python SDK

Use cases

  1. 01Find files by name in an Egnyte domain
  2. 02Let AI agents retrieve enterprise documents
  3. 03Use Egnyte content in generative AI workflows

MCP support

The server exposes Egnyte document search and retrieval to compatible MCP clients. Its implemented tool includes search_for_document_by_name.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Egnyte MCP Server

An MCP (Model Context Protocol) server that connects to your Egnyte domain and exposes document search and retrieval functionality for use in AI agents like Cursor, Claude, or OpenAI.

This server uses Egnyte’s public APIs and Python SDK to support secure, real-time access to your Egnyte content, enabling smart AI-driven workflows while respecting existing permissions.


📚 About

Model Context Protocol (MCP) is a framework to help AI agents securely query external systems for real-time context.
The Egnyte MCP Server allows agents to:

  • Search for documents by name
  • Retrieve relevant documents from Egnyte
  • Seamlessly integrate enterprise content into generative AI workflows

🛠️ Tools Implemented

Tool NameDescription
search_for_document_by_nameSearches for a document in your Egnyte domain using its filename.

📋 Requirements

Installing Prerequisites

🔧 Installation

1. Clone the Repository
git clone https://github.com/egnyte/egnyte-mcp-server.git
cd egnyte-mcp-server
2. Install uv (Python environment & dependency manager)

Mac/Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows (PowerShell):

irm https://astral.sh/uv/install.ps1 | iex
3. Install Egnyte SDK
uv pip install egnyte

📄 Egnyte SDK Documentation
🔗 Egnyte SDK GitHub

4. Setting up Environment Variables
  1. Create a .env File

Create a .env file inside the root directory with the following content:

DOMAIN=your-egnyte-domain.egnyte.com 
ACCESS_TOKEN=your-access-token-here
  1. Update with Your Credentials
  • Replace your-egnyte-domain.egnyte.com with your actual Egnyte domain.

  • Replace your-access-token-here with your actual Egnyte API access token.

    This .env file is necessary for the server to authenticate and connect securely to your Egnyte domain.

🚀 Running the MCP Server

uv run server.py --python 3.11

This will start the MCP server locally and make the tools available to MCP-compliant clients.

⚡ Setting up MCP Clients

This is a sample MCP (Model Context Protocol) client that connects to a locally running MCP server using fastmcp.
It uses Python Stdio Transport to communicate with the server and call specific tools by name.

How it works

  • Connects to the MCP server (server.py) via Python Stdio.
  • Lists available tools exposed by the server.
  • Calls a specific tool by its name, with provided arguments.
  • The response is returned based on the tool execution.

Prerequisites

  • Python 3.11+
  • fastmcp library installed:
    uv pip install fastmcp
    
  • MCP server (server.py) running locally
  • .env file configured

Usage

  1. Ensure the MCP server is running first.
  2. Run the client using the command:
    python client.py
    
Cursor IDE Setup
  1. Open Cursor → Settings → MCP
  2. Click "Add new global MCP server"
  3. Add the following configuration:
{
  "mcpServers": {
    "Egnyte Document Retriever": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/egnyte-mcp-server",
        "run",
        "server.py"
      ]
    }
  }
}

✅ Replace /path/to/egnyte-mcp-server with your actual directory path.

  1. Save and enable the server in the MCP settings.

🖼️ Example Screenshots

Cursor MCP Server Configuration

Cursor MCP Config

Cursor MCP Query in Action

Cursor MCP Run


Claude Desktop Setup

To connect Egnyte’s MCP server to Claude Desktop:

  1. Launch Claude Desktop and open MCP tool configuration
  2. Go to Settings → MCP Tools → Add New Server
  3. Add the following configuration:
{
  "mcpServers": {
    "egnyte": {
      "command": "python3",
      "args": ["server.py"],
      "cwd": "/Users/yourname/path/to/egnyte-mcp-server",
      "env": {
        "DOMAIN": "your-egnyte-domain.egnyte.com",
        "ACCESS_TOKEN": "your-access-token"
      }
    }
  }
}

✅ Replace /Users/yourname/path/to/egnyte-mcp-server with your actual directory path.

  1. Save and Start - Claude should detect the server, list search_for_document_by_name under “Available MCP tools,” and be able to call it with filenames.

🖼️ Example Screenshots

Claude MCP Server Configuration

Claude MCP Config

Claude MCP Query in Action

Claude MCP Run

📈 Roadmap

  • ✅ File search by name
  • ✅ Retrieve relevant documents
  • 🔜 Hybrid search (structured + content)
  • 🔜 Document text extraction

#Helping with development

Please report any problems you find to [email protected] or [email protected]

If you'd like to fix something yourself, please fork this repository, commit the fixes and updates to tests, then set up a pull request with information what you're fixing.

🔗 Helpful Links

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.