"Information about PostgreSQL Database" 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.

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.

Searches and browses local Claude Code and Cowork session histories stored on your machine, enabling questions about past work without uploading data.

An MCP server that provides AI agents with a persistent, PostgreSQL-backed virtual filesystem, supporting session-isolated file operations, cross-session shared stores, and glob/grep search.

Enables storing durable AI memories linked to local JSON or text sources, automatically superseding outdated structured values, flagging ambiguous changes for review, excluding expired information, and preserving revision history in a local SQLite database.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

A collection of production-ready MCP servers for PostgreSQL, SQLite, Redis, File System, and GitHub API, enabling database operations, file management, and GitHub interactions through natural language.

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

Enables an AI client to manage candidate profiles and job postings stored in a local PostgreSQL database, match them deterministically, and generate tailored resume and cover-letter PDFs in English, French, German, and generic formats. It runs over stdio or a loopback HTTP endpoint with a bearer token, exposing 34 tools by default plus opt-in tools for imports, link fetching, deletions, and document export.

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.

An enterprise-grade MCP server that enables LLM agents to securely interact with PostgreSQL databases and the local file system under absolute sandbox boundaries.

Enables read-only access to company data across PostgreSQL, MongoDB Atlas, and flat files through MCP tools, allowing AI assistants to query and retrieve information via natural language.