Alfresco
Python based MCP Server for Alfresco using python-alfresco-api and FastMCP 2.0
What is Alfresco?
Alfresco is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to python based mcp server for alfresco using python-alfresco-api and fastmcp 2.0
Python based MCP Server for Alfresco using python-alfresco-api and FastMCP 2.0
This server falls under the APIs and Databases categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Python based MCP Server for Alfresco using python-alfresco-a
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx python-alfrescoConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Alfresco
Python Alfresco MCP Server is a full-featured Python MCP server for Alfresco Content Services built with FastMCP 2.0, offering comprehensive content management and search capabilities through a natural language interface. It exposes tools for full-text search, advanced AFTS queries, CMIS SQL-like search, metadata search, document upload and download, check-in/check-out, folder creation and browsing, node deletion, and property management. Teams using Alfresco Community or Enterprise for enterprise content management can connect their AI assistant directly to the repository to search, manage, and organize documents conversationally.
Prerequisites
- Python 3.10 or higher installed
- A running Alfresco Content Services instance (Community or Enterprise), tested with the default admin credentials at http://localhost:8080
- uv or uvx package manager recommended (pip also supported)
- An MCP-compatible client such as Claude Desktop or Cursor
Install with uvx (recommended for users)
Use uvx to install and run python-alfresco-mcp-server from PyPI. uvx automatically handles isolated environments and global availability.
# Install UV/UVX first if needed
curl -LsSf https://astral.sh/uv/install.sh | sh
# Test installation
uvx python-alfresco-mcp-server --helpOr install with pip
Install using standard pip. The python-alfresco-api dependency is installed automatically.
pip install python-alfresco-mcp-serverConfigure Alfresco connection via environment variables
Set the four required environment variables pointing to your Alfresco instance. Create a .env file for cross-platform convenience.
# .env file
ALFRESCO_URL=http://localhost:8080
ALFRESCO_USERNAME=admin
ALFRESCO_PASSWORD=admin
ALFRESCO_VERIFY_SSL=falseAdd the server to Claude Desktop configuration
Edit claude_desktop_config.json to register the server. When using uvx, the command is 'uvx' with the package name as the argument.
{
"mcpServers": {
"alfresco": {
"command": "uvx",
"args": ["python-alfresco-mcp-server"],
"env": {
"ALFRESCO_URL": "http://localhost:8080",
"ALFRESCO_USERNAME": "admin",
"ALFRESCO_PASSWORD": "admin",
"ALFRESCO_VERIFY_SSL": "false"
}
}
}
}Restart Claude Desktop and test the connection
Restart Claude Desktop to activate the server. Ask Claude to retrieve the repository info or search for documents to confirm the connection works.
Alfresco Examples
Client configuration
Complete Claude Desktop configuration for the Alfresco MCP server using uvx with environment variable credentials.
{
"mcpServers": {
"alfresco": {
"command": "uvx",
"args": ["python-alfresco-mcp-server"],
"env": {
"ALFRESCO_URL": "http://localhost:8080",
"ALFRESCO_USERNAME": "admin",
"ALFRESCO_PASSWORD": "admin",
"ALFRESCO_VERIFY_SSL": "false"
}
}
}
}Prompts to try
Example prompts for searching, managing, and organizing documents in Alfresco through the AI assistant.
- "Search Alfresco for all documents containing the word 'contract'"
- "List all files in the /Company Home/Sites/hr folder"
- "Upload the file at /Users/me/report.pdf to the /Company Home/Shared folder"
- "Check out the document with node ID abc-123 for editing"
- "Get the repository status and version information"
- "Find all documents modified in the last 7 days using advanced search"
- "Set the 'cm:description' property of document xyz to 'Q4 Annual Report'"Troubleshooting Alfresco
Connection refused when reaching Alfresco at localhost:8080
Verify Alfresco is running with 'curl http://localhost:8080/alfresco/api/discovery'. If using Docker, ensure the port is mapped correctly. Check ALFRESCO_URL includes the full base URL without a trailing slash.
SSL certificate verification errors
Set ALFRESCO_VERIFY_SSL=false for development environments or self-signed certificates. For production, provide the path to your CA bundle: ALFRESCO_VERIFY_SSL=/path/to/ca-bundle.crt
python-alfresco-api version mismatch error at startup
python-alfresco-mcp-server v1.1 requires python-alfresco-api >= 1.1.1. Run 'pip install --upgrade python-alfresco-api' or 'uvx --reinstall python-alfresco-mcp-server' to get the compatible versions.
Frequently Asked Questions about Alfresco
What is Alfresco?
Alfresco is a Model Context Protocol (MCP) server that python based mcp server for alfresco using python-alfresco-api and fastmcp 2.0 It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Alfresco?
Follow the installation instructions on the Alfresco GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Alfresco?
Alfresco works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Alfresco free to use?
Yes, Alfresco is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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