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

Demonstrates how to create a simple MCP server with streamable HTTP transport, featuring tools, prompts, and resources.

Enables managing local Markdown notes by creating, viewing, listing, and searching notes and their contents through MCP tools.

MCP server providing real-time public transport data for Tomsk, including routes, schedules, stops with lazy OSM enrichment, nearby stop search, and a routing prompt for LLMs.

Enables LLMs to make HTTP requests with OAuth2, session cookies, retry logic, and cURL command generation, while providing security features like SSRF protection and TLS enforcement.

Provides an HTTP API for Claude Code using a native MCP channel to enable stable message exchange without terminal screen-scraping. It allows users to programmatically send messages, retrieve conversation history, and stream real-time events via standard web protocols.

HTTP Inspector MCP Server enables sending arbitrary HTTP requests, viewing history via a web panel, and taking screenshots of the panel for AI penetration testing workflows.

First HTTP-native MCP server for Obsidian that solves stdio transport bugs, enabling AI assistants to manage Obsidian notes without crashes.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

A simple HTTP-based MCP server that provides demo tools (get_test_string, echo, check_maintenance), greeting prompts, and test resources, with optional OAuth 2.1 support.

A simple MCP server in Python, configurable via environment variables and database, designed for integration with Claude Desktop.

Enables AI assistants to perform network diagnostics by exposing ping and traceroute as callable MCP tools, allowing them to check host connectivity and trace network paths.

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

Enables AI agents to query a device catalog and search SDK method references through read-only MCP tools, allowing natural-language questions about device capabilities and API usage.

Enables delegating checkable subtasks such as summarization, search-and-summarize, and file downloads to a local OpenAI-compatible model, with mandatory result verification and job statistics.

Enables AI agents to send HTTP requests to any endpoint with full control over methods, headers, query parameters, and request bodies.

A lightweight MCP server for image analysis using any OpenAI-compatible API endpoint, enabling AI agents to analyze images via a single tool.

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.

Provides AI coding agents with persistent memory by recording sessions and normalizing them into a searchable knowledge graph, then delivering relevant context at the start of the next session.

Enables AI assistants to manage in-memory notes by listing, fetching, and creating notes through MCP tools over stdio.

A simple MCP server that exposes stock price lookup tools, demonstrating how to set up MCP from scratch with Ollama.