"General Information Request" matching MCP servers:

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

A general-purpose MCP server that lets AI work with multiple databases within clear boundaries.

An MCP server that provides elicitation tools to interactively request user input, such as selecting options, providing information, or performing manual tests.

Enables automatic HTTP requests (GET, POST, PUT, DELETE, etc.) with JSON validation and proxy support. Supports custom headers, request bodies, and environment variable configuration for seamless API integration.

General purpose toolbox for AI applications

Provides system information through a single tool that returns platform details, Node version, architecture, current time, and uptime. Optionally includes hostname when specified in the request.

A Model Context Protocol server that enables querying feature suggestions from a Supabase database, allowing AI tools like Cursor and Claude to access and display feature request data.

A general-purpose MCP server with utility tools including datetime information, safe math calculations, text statistics, JSON extraction, knowledge base search, and HTTP GET requests. It demonstrates server-side MCP implementation and can be connected to Claude Desktop or LangGraph agents.

Provides JSDelivr CDN statistics and package information for npm packages and GitHub repositories, enabling queries on request counts, bandwidth, file listings, and version resolution.

A minimal, general-purpose implementation of the Model Context Protocol (MCP) for Node.js and Bare runtime, enabling creation of AI-interactive servers with tools, resources, and multiple transport options.

Demonstrates the proposed idempotencyKey mechanism on tools/call with server-side deduplication and conflict fingerprint rejection. Includes a runnable client demo showing retry dedup and conflict behavior.

A simple MCP server built with Next.js that provides a greet_user tool to return friendly greetings, either general or personalized.

A general-purpose MCP gateway that exposes your local CLI skills to any AI assistant.

Provides LLMs with full PostgreSQL database access, including tools for query execution, schema management, and data export. It also features a dedicated insights system for storing business memos and supports both local stdio and remote HTTP transport.

A utility tool that analyzes Next.js application routes and provides detailed information about API paths, HTTP methods, parameters, status codes, and request/response schemas.

A general-purpose MCP interface for Urbit, a networked personal server.

Automatically generates comprehensive merge request summaries from git logs, analyzing commit history and categorizing changes into structured descriptions. Provides tools to analyze git repositories, compare branches, and create detailed summaries with change categorization, impact analysis, and review time estimates.

Enables employee information lookup, directory listing, payroll access, and time-off request management with Okta token validation.

An MCP server for the comprehensive analysis of Swagger 2.0 and OpenAPI 3.x contracts. It allows users to extract detailed information about endpoints, request/response schemas, parameters, and security configurations from API documentation.