#
ENJA

python-alfresco-mcp-server

MCP Server

stevereiner/python-alfresco-mcp-server

A Model Context Protocol (MCP) server for Alfresco Content Services that enables full-text search, metadata filtering, and complete document lifecycle management.

14 4Apache-2.0Updated 2026-08-06

Overview

The Python Alfresco MCP Server bridges AI assistants with Alfresco Content Services, allowing users to interact with enterprise content repositories directly through natural language. Built with FastMCP 3, it supports multiple search paradigms (full-text, advanced AFTS, metadata, and CMIS SQL), document versioning, folder manipulation, and secure authentication options including Basic, Ticket, and OAuth2/OIDC.

Capabilities

  • full-text search
  • advanced AFTS queries
  • metadata property search
  • CMIS SQL search
  • document upload and download
  • check-in and check-out management
  • folder creation and node deletion
  • version management
  • repository status reporting

Best for

Searching and retrieving enterprise documents from Alfresco repositories using natural language, Managing document workflows including checkout, check-in, versioning, and custom property updates, Automating document uploads, folder creation, and repository administration tasks via AI clients

Works with

Claude CodeCursorGitHub Copilot
Evoa Score breakdown= Σ (score × weight)
75
Task usefulness20%100 → +20.0

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%35 → +4.2

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%50 → +7.5

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%34 → +2.7

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%75 → +3.8

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total75.2 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

Supports secure connections via SSL verification controls, multiple authentication backends including OAuth2/OIDC, and optional transport-layer token verification (JWTVerifier) for HTTP/SSE connections.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.