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.
@JanithSilva
Basic information
MCP server that provides tools for metadata retrieval from SharePoint and entity retrieval from a Neo4j knowledge graph using semantic similarity search.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-janithsilva": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
SharePoint (Documents library) for metadata and Neo4j for knowledge graph entities. It also requires an embedding model API endpoint and key for semantic search.
Python 3.x, a running Neo4j database, access credentials for SharePoint, and an embedding model API (e

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