Alfresco Lab FAQs

Question 1

What components are included in Alfresco Lab?

Accepted Answer

It includes a Dockerized Alfresco Community Edition instance, a Python Alfresco MCP Server, and two versatile MCP clients: a command-line interface (CLI) with local LLM integration via Ollama, and a UI-based client leveraging Chainlit and LiteLLM for interactive chat with various LLM providers.

Question 2

What is Alfresco Lab?

Accepted Answer

Alfresco Lab is a Docker-based, reproducible lab environment designed for experimenting with the Model Context Protocol (MCP) against Alfresco Community Edition, facilitating advanced content interaction and AI-driven content processing.

Question 3

What are the prerequisites to run Alfresco Lab?

Accepted Answer

To run Alfresco Lab, you need Docker and Docker Compose installed. For the CLI client, Ollama must be running on your host with the `gpt-oss` model pulled. For the UI client, an API key for your chosen LiteLLM provider is required.

Question 4

Can I integrate my own LLMs with Alfresco Lab?

Accepted Answer

Yes, the lab supports flexible LLM integration. The CLI client can connect to local LLMs via Ollama (e.g., `gpt-oss`), while the UI client uses LiteLLM, allowing you to configure various cloud LLM providers and models by setting an API key.

Question 5

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP is a protocol that enables external AI models, particularly Large Language Models (LLMs), to interact with and query content management systems like Alfresco for intelligent content processing, retrieval, and contextual understanding.

Alfresco Lab

Alfresco Lab

Key Features

Use Cases

Key Features

Use Cases