MCP Server

@JanithSilva

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

作者

JanithSilva

MCP Server について

MCP server that provides tools for metadata retrieval from SharePoint and entity retrieval from a Neo4j knowledge graph using semantic similarity search.

#mcp-server#metadata-retrieval#knowledge-graph

MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-server-janithsilva": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Server?

A Python-based server that provides tools for retrieving metadata from SharePoint's 'Documents' library and querying a Neo4j knowledge graph using semantic similarity search. Built on the FastMCP framework, it is intended for applications needing structured document metadata and entity-relationship information.

How to use MCP Server?

Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, and configure environment variables in a .env file (including SharePoint credentials, Neo4j URI, and embedding model settings). Start the server with python mcp_server.py, then invoke the metadata_retrieve or entity_retrieve tools.

Key features of MCP Server

Retrieves structured metadata from SharePoint Documents library
Queries Neo4j knowledge graph with semantic similarity search
Built on FastMCP framework for tool management
Configurable via environment variables
Uses semantic embedding for entity retrieval

Use cases of MCP Server

Automating metadata extraction from SharePoint for document management
Finding relevant entities and relationships in a knowledge graph via natural language queries
Integrating document metadata with knowledge graph data for enhanced search
Enabling AI assistants to access structured information from both sources

よくある質問

What systems does MCP Server integrate with?

SharePoint (Documents library) for metadata and Neo4j for knowledge graph entities. It also requires an embedding model API endpoint and key for semantic search.

What are the prerequisites for running MCP Server?

Python 3.x, a running Neo4j database, access credentials for SharePoint, and an embedding model API (e

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