"Understanding File Structures" 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.

A Model Context Protocol server that provides DLIS (Digital Log Interchange Standard) file analysis capabilities. This server enables LLMs to extract information from DLIS files, including channel data and metadata, with support for hierarchical data structures.

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.

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

Enables querying SAP Business One HANA databases through direct SQL, including read-only safeguards and tools for inspecting schemas, tables, and table structures.

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

Enables read-only MySQL database connectivity, allowing execution of SELECT queries, listing tables, and describing table structures via natural language.

A Model Context Protocol (MCP) server that exposes tools for exploring and querying SQLite and PostgreSQL databases. It allows Large Language Models (LLMs) to inspect table structures, perform statistical profiling, generate entity-relationship diagrams, and execute queries safely.

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

MCP server for Yearning SQL audit platform that enables AI assistants to query and manage orders, browse data sources and table structures, submit and review SQL orders, and execute read-only queries.

A Model Context Protocol server that provides read-only MySQL database queries for AI assistants, allowing them to execute queries, explore database structures, and investigate data directly from AI-powered tools.

An MCP server for interacting with SQL Server databases that enables schema inspection, record counting, and paginated data retrieval. It provides tools to explore table structures and fetch specific records while enforcing safety limits on data volume.

Provides AI assistants with access to materials science databases, enabling search and analysis of material properties, crystal structures, phase diagrams, and elastic properties through the Materials Project API.

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.

Provides MySQL database connectivity and schema inspection tools, allowing users to connect to MySQL databases and retrieve table structures through configurable connection parameters.

A Model Context Protocol (MCP) server that provides read-only TDengine database queries for AI assistants, allowing users to execute queries, explore database structures, and investigate data directly from AI-powered tools.

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

A Model Context Protocol server that enables AI models to interact with MySQL databases, providing tools for querying, executing statements, listing tables, and describing table structures.

A Model Context Protocol server implementation that enables LLMs to interact with NebulaGraph database for graph exploration, supporting schema understanding, queries, and graph algorithms.

Enables interaction with Oracle databases through MCP by executing SELECT queries, describing table structures, and listing available tables with secure, read-only access.