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.
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
| Tool Name | Description |
|---|---|
search_for_document_by_name |
Searches for a document in your Egnyte domain using its filename. |
- 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
git clone https://github.com/egnyte/egnyte-mcp-server.git
cd egnyte-mcp-serverMac/Linux:
curl -LsSf https://astral.sh/uv/install.sh | shWindows (PowerShell):
irm https://astral.sh/uv/install.ps1 | iexuv pip install egnyte📄 Egnyte SDK Documentation
🔗 Egnyte SDK GitHub
- 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.
uv run server.py --python 3.11This will start the MCP server locally and make the tools available to MCP-compliant 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.
- 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.
- Python 3.11+
fastmcplibrary installed:uv pip install fastmcp
- MCP server (
server.py) running locally .envfile configured
- Ensure the MCP server is running first.
- Run the client using the command:
python client.py
- 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.
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.
- ✅ 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.