广告合作
MCP.so
登录

MCP Server

@JanithSilva

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

JanithSilva

关于 MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

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.

2

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

评论

记忆与知识 分类下的更多 MCP 服务器

PLUR

plur-ai

AI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference

226

Orcha

westonhancock

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age

Sensefold

SenseFold Labs

Personal context for every AI: search, read, and write back to your private Markdown library of articles, threads, PDFs, notes, and captured ChatGPT/Claude/Gemini/Grok conversations. Remote server, OAuth 2.1 paste-and-au

priostack

ideaswave

Open-source Python SDK & MCP interface for Priostack Agent Context Network (ACN). Zero-setup, autonomous memory orchestration for AI agents.

Neither MCP

stonianua

Project context your AI can query through MCP — with source evidence.

广告合作