"Firebase Firestore Database Information" matching MCP servers:

Enables AI models to securely analyze SQLite datasets and read local text documents through a local stdio interface. It provides read-only querying, schema discovery, pagination, and timeout protections to prevent data leaks or destructive changes.

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Enables storing durable AI memories linked to local JSON or text sources, automatically superseding outdated structured values, flagging ambiguous changes for review, excluding expired information, and preserving revision history in a local SQLite database.

Search a folder of documents and check answers against them. Offline: no API key or database.

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

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

A TypeScript MCP server example providing basic developer tools: hello world greeting, arithmetic calculator, and file information retrieval.

Enables AI tools to understand a database, inspect schema, and run safe SELECT queries with SQL guardrails, plus optional codebase reading.

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 Claude to perform file operations, retrieve system information, run calculations, and generate timestamps on the local system.

Exposes system tools (disk usage, file listing) and weather information via Open-Meteo to MCP-compatible LLMs.

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.

Enables interaction with tool data stored in Google Drive Excel files through cached SQLite database. Provides access to tool information and descriptions with automatic background synchronization and OpenWebUI compatibility via OpenAI proxy.

Stores and retrieves personal information fields securely, allowing Claude to access your name, address, email, and professional details without re-typing them.

Connect your database to your AI agent, read-only, without sharing your password. Maplith Bridge serves a folder of data files over MCP behind a token you create, and fills it from PostgreSQL under a role that can only read.

Enables AI assistants to create academic diagrams and plots, verify math and units, read lecture documents, generate exam papers, cheat sheets, slides, flashcards, and lab reports, and access school LMS course information read-only.

Enables local MCP-assisted processing of Access database tables, HTML5 advertising ZIP image assets, layered PDFs, and ONIX book-update requests through RapidAPI. It saves results in a selected workspace folder while requiring explicit consent for each processing call.

Adds a local-first memory MCP server: long-term memory is stored as plain Markdown/JSONL files in a user-chosen directory (MEMORY_DIR) and can be shared by multiple MCP clients (Cherry Studio, Claude Desktop, DeepSeek Harness). * No database, no vector store, no network calls * Four tools: memory_read / memory_update / memory_append / memory_search * Shrink-protection + backup before overwrite *

Model Context Protocol server for the Apideck Unified API. Connect any MCP-compatible agent framework to 100+ accounting systems, HRIS platforms, file storage providers, and more through one integration. More information https://www.apideck.com/mcp-server

A sophisticated MCP server providing powerful file search capabilities including single file search, recursive directory search, and file information retrieval.

An MCP server for controlled server operations via BaoTa Panel, providing 50+ tools for system, site, database, files, cron, Docker, and network management with safety features like permission tiers, credential masking, and audit logs.

Enables AI assistants to control Windows PCs by executing shell commands, managing files, capturing screenshots, and monitoring system information through a comprehensive set of MCP tools.

A modular Python MCP server providing tools for text echoing, system information, time queries, arithmetic, file reading, and more, designed for seamless integration with Cline and other MCP clients.

Enables users to access local files, manage persistent notes via CRUD, fetch URLs, inspect system information, and analyze or transform text through MCP tools.

Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.

Enables an agent to read the user's local Messages.app database on macOS, listing chats and threads and searching iMessage/SMS history entirely on localhost, with optional AppleScript sending gated behind an explicit flag. Access is read-only and scoped-shut by default, and replies can be optionally sent when send mode is enabled.

A server providing PDF form manipulation tools via MCP's API, allowing users to find PDFs across directories, extract form field information, and visualize form fields in documents.