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
- 01Search documents by filename
- 02Retrieve relevant Egnyte documents
- 03Respect existing access permissions
- 04Connect through Egnyte APIs and Python SDK
Use cases
- 01Find files by name in an Egnyte domain
- 02Let AI agents retrieve enterprise documents
- 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.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEEgnyte 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 Name | Description |
|---|---|
search_for_document_by_name | Searches for a document in your Egnyte domain using its filename. |
📋 Requirements
- Python 3.11+
- Egnyte API access token - Register on https://developers.egnyte.com/member/register to get API key for your Egnyte account
- An Egnyte domain with files to test
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
- Create a
.envFile
Create a .env file inside the root directory with the following content:
DOMAIN=your-egnyte-domain.egnyte.com
ACCESS_TOKEN=your-access-token-here
- Update with Your Credentials
-
Replace
your-egnyte-domain.egnyte.comwith your actual Egnyte domain. -
Replace
your-access-token-herewith your actual Egnyte API access token.This
.envfile 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+
fastmcplibrary installed:uv pip install fastmcp- MCP server (
server.py) running locally .envfile configured
Usage
- Ensure the MCP server is running first.
- Run the client using the command:
python client.py
Cursor IDE Setup
- Open Cursor → Settings → MCP
- Click "Add new global MCP server"
- 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.
- Save and enable the server in the MCP settings.
🖼️ Example Screenshots
Cursor MCP Server Configuration

Cursor MCP Query in Action

Claude Desktop Setup
To connect Egnyte’s MCP server to Claude Desktop:
- Launch Claude Desktop and open MCP tool configuration
- Go to Settings → MCP Tools → Add New Server
- 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.
- 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 Query in Action

📈 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
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.