"Simple MCP example using HTTP transport" matching MCP servers:

Enables AI assistants to access Swiss public transport data including journey planning, real-time departures, disruptions, occupancy forecasts, ticket prices, and train formations via a standardized MCP interface.

Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.

Provides Estonian public transport timetables, trip planning, stop search, and real-time vehicle tracking.

A read-only Reddit MCP server that fetches threads, comments, and subreddits from the Arctic Shift archive over HTTP, requiring no Reddit account or API key.

MCP server for Swiss public transport — connections, stationboards, real-time delays, and direct booking links for SBB.

A minimal MCP server that exposes a single tool to query local hardware information (OS, CPU, memory, architecture).

MCP server for Wiki.js that exposes 29 tools for managing pages, comments, tags, assets, users, navigation, and more via HTTP/SSE with built-in mutation safety.

A reference implementation of a Model Context Protocol server that demonstrates core primitives including tools, resources, and prompts. It enables users to perform basic arithmetic operations and manage notes through a simple storage system.

Enables live preview of Storybook components inside the IDE as the AI edits them, using MCP Apps integration.

Enables AI assistants to query and read data on DICOM servers (PACS, VNA, etc.).

Deterministic pre-execution safety certification for autonomous AI agents. Evaluates proposed actions across scope, reversibility, and sensitivity constraints — returns Certified, Warning, Escalate, or Blocked decisions with cryptographic audit trails. 3 tools: certify_action, check_budget, get_certification_history. Built on the QAE Safety Kernel (Rust + PyO3 bindings, pip install qae-safety).

A Model Context Protocol (MCP) server for accessing Productive.io API endpoints (projects, tasks, comments, todos), tailored for read-only operations, providing streamlined access to essential data while minimizing token consumption

A Model Context Protocol (MCP) server for accessing Fathom AI API endpoints (meetings, recordings, transcripts, summaries, teams, team members) via GET operations.

This MCP server enables AI assistants to perform calculations, fetch live weather, manage in-memory notes, access system info and note resources, and use reusable code review and summarization prompts.

Integrates Attio CRM with AI clients to manage companies, people, and notes through 14 specialized tools. It supports dynamic schema discovery, enabling users to search, create, and update records within their Attio workspace.

Enables to create, iterate, and export 3D models through natural language conversations with an LLM by bundling OpenSCAD via WebAssembly for zero-setup 3D modeling.

A lightweight MCP server that provides persistent knowledge graph storage for AI assistants, enabling memory across sessions through entity-relationship storage with JSON file persistence.

Enables Codex to search, create, and organize notes in Simple Sticky Notes 6.9 on Windows via MCP, with support for rich text formatting and safe write operations.

Provides a minimal Model Context Protocol server that demonstrates a basic tool, a static resource, and a prompt template, enabling clients to discover and exercise core MCP capabilities over stdio.

A small Python MCP server for querying PostgreSQL and MySQL databases with read-only safety, featuring schema inspection, table description, and query execution tools.