"Understanding File Systems" matching MCP servers:

An MCP server that provides persistent memory for database schemas by storing table structures and metadata in a local SQLite file. It enables LLMs to save, retrieve, and manage database snapshots to maintain a structured understanding of database architectures.

An MCP server providing access to XRootD file systems, allowing LLMs to browse directories, read file metadata, and access contents via the root:// protocol. It supports advanced features like campaign discovery, file searching, and ROOT file analysis for scientific data management.

Implements the Model Context Protocol (MCP) to provide AI models with a standardized interface for connecting to external data sources and tools like file systems, databases, or APIs.

Converts legacy supply chain databases and file drops into MCP servers for AI agents, enabling direct interaction with closed systems via CLI.

Provides AI assistants with persistent graph database memory using Neo4j, enabling task management, relationship understanding, semantic search with embeddings, file indexing, and multi-agent coordination through the Model Context Protocol.

A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.

An MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.

A read-only MCP server for querying parking management systems using natural language and secure SQL. It enables searching for parking locations, retrieving billing configurations, and understanding database schemas through business context tools.

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

A single MCP server that exposes safe, permission-checked tools for AI assistants to reach file systems, databases, APIs, Git, cloud services, and business applications.

Enables AI assistants to manage Snipe-IT inventory systems through comprehensive asset and consumable operations. Supports creating, updating, tracking, and managing IT assets, consumables, maintenance records, file attachments, and generating labels.

Enables interaction with SAP S/4HANA systems via OData, allowing service discovery, metadata exploration, field value retrieval, and CRUD operations through natural language.

Query only the data you need from your JSON file and keep your context clean

Provides AI assistants with unified file operations via MCP, supporting Excel, PDF, Word, and SQLite file reading, writing, and querying.

An MCP server that provides knowledge about Coordinate Reference Systems (CRS).

ABAP Development Tools MCP server with comprehensive tooling and documentation for SAP systems

Enables AI agents to interact with 1С:Enterprise and BAS ERP systems through REST and HTTP services, providing tools for searching catalogs, creating documents, and querying stock balances.

Provides a Model Context Protocol interface to MoCo time tracking and project management systems, enabling AI assistants to retrieve work activities, projects, tasks, holidays, and presence data.

Enables AI systems to perform full-text and semantic search operations over structured/unstructured data in Azure Cognitive Search, with capabilities for document indexing and management through natural language.

Local-first codebase intelligence engine providing AI coding agents with a typed MCP toolset for understanding and navigating code repositories.