"Information about Neo4j graph database" matching MCP servers:

MCP server that enables full-text search and link navigation over Markdown files as a knowledge graph.

A local-first Graph-RAG system that combines ChromaDB with metadata-based graph relationships and Gemini 2.5 Flash for intelligent Q\&A over your Obsidian vault.

Enables Codex or any local MCP client to read and edit Project Graph .prg files using the official runtime, with tools for inspecting, creating, editing, connecting, deleting, and laying out graph nodes.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Enables SQL Server database operations (queries, table management) and file system access (read, write, directory listing) with security controls. Supports comprehensive database interactions and file management through a unified MCP interface.

Enables storing durable AI memories linked to local JSON or text sources, automatically superseding outdated structured values, flagging ambiguous changes for review, excluding expired information, and preserving revision history in a local SQLite database.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

MCP server that allows AI agents to read, search, summarize, and answer questions about local PDF, DOCX, XLSX, and TXT files through five tools.

Provides secure, read-only database queries, HTTP GET requests with anti-SSRF protection, and file reading within a restricted directory.

Enables natural-language queries about disk usage by driving WizTree scans and analyzing cached CSV snapshots. Users can find large files, duplicate data, folder breakdowns, and more without repeatedly rescanning the disk.

This server is to precess files for LNR.

Graph-level operations for Karpathy LLM Wiki knowledge bases, enabling LLM agents via MCP and humans via CLI to perform structured graph surgery including node/edge CRUD, wikilink management, index rebuilding, and graph metrics.

Bridges CLI tools to AI assistants via MCP, enabling knowledge graph management and file reading capabilities.

A simple Model Context Protocol (MCP) server that allows LLMs to create and manage user entries in a JSON file system database.

Converts CAD drawings (DXF/DWG) into structured data, enabling Claude to read drawings and answer questions about their content.

A multi-functional computing platform server designed to integrate with large language models like Qwen, providing file access, database connections, API integration, and vector database functionality.

Enables building and exploring a knowledge graph from files (PDF, DOCX, code) with AI enrichment via Ollama or Claude. Supports pinning documents, linking entities, and traversing the graph.

A Julia-based MCP server providing tools for database operations, file management, and database administration, with HTTP bridge support for Windows Claude Desktop integration.

Enables management of Google Maps saved places through a SQLite database. Allows users to store, query, and organize their Google Maps places data locally.

Equips AI coding agents with filesystem, Git, database, and computation tools via the Model Context Protocol.