What is Alfresco MCP Server?

Alfresco MCP Server is an AI-native Model Context Protocol (MCP) server designed for seamless integration with Alfresco Content Services, enabling comprehensive content management operations through AI-driven workflows.

How does it integrate with AI systems?

It provides dedicated MCP Tools, Resources, and AI-friendly Prompts, allowing AI models and applications to directly access and manage content within Alfresco, supporting various AI-driven workflows.

What content management operations are supported?

The server offers comprehensive tools for advanced content search (AFTS), document lifecycle management (upload, download, check-in/out), versioning, folder operations, and flexible node property management.

What are the benefits of FastMCP 2.0 in this server?

FastMCP 2.0 provides a modern, high-performance architecture with multiple transport options (STDIO, HTTP, SSE), significantly less code (~73% reduction), and an enhanced developer experience with robust testing and flexible configuration.

Alfresco MCP Server: AI-Native Content Management APIs

This tool offers a robust and modern Model Context Protocol (MCP) server designed to facilitate AI-native interactions with Alfresco Content Services. Leveraging the efficient FastMCP 2.0 framework and `python-alfresco-api`, it provides a standardized interface for managing content, supporting operations like searching, uploading, downloading, and versioning documents. With multiple transport options including STDIO, HTTP, and SSE, along with comprehensive documentation and examples, it empowers developers to build sophisticated applications that leverage Alfresco's capabilities within AI-driven workflows.

Key Features

01Complete FastMCP 2.0 Implementation with STDIO, HTTP, and SSE transport options for high performance and real-time streaming.

02Comprehensive Content Management Tools including advanced search (AFTS), document lifecycle (upload, download, check-in/out), versioning, folder operations, and node property management.

03AI Integration with dedicated MCP Tools, Resources, and AI-friendly Prompts for seamless integration into AI-driven workflows.

04Enterprise-Grade Alfresco Compatibility supporting various authentication methods, permission inheritance, content classification, multi-tenancy, and high-availability deployments.

05Enhanced Developer Experience featuring type safety with Pydantic v2, advanced in-memory testing, context logging, progress reporting, and flexible configuration options.

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Use Cases

01Automating Alfresco content workflows, such as bulk uploads, document processing, and version control, through programmatic access.

02Building AI-powered applications that interact with and manage content within Alfresco Content Services via a standardized protocol.

03Integrating Alfresco content repositories with external systems or custom applications requiring a Model Context Protocol interface.