"Simple HTTP server or client implementation" matching MCP servers:

A minimal MCP server implementation demonstrating basic tool integration with example functions like greetings, version info, and system information. Supports both HTTP and stdio transports for connecting AI clients.

Provides basic tools for echoing messages, adding numbers, and getting the current timestamp.

Provides math tools (add, subtract, multiply), API fetching (JSONPlaceholder), and usage monitoring via a web dashboard with SQLite logging.

Provides a standardized MCP interface for interacting with HTTP tools and services, enabling unified API access and management.

A self-contained, dependency-free MCP server that provides utility tools for time, date, mathematical calculations, and shell command execution. It supports remote connectivity through SSE and is designed for easy deployment via Docker.

Turns any API into a curated MCP server from a single config file, enabling interaction with APIs through MCP clients like Claude Desktop.

A basic Model Context Protocol server that provides static information and facts about cats, dogs, and birds. It enables users to retrieve general animal data through Claude Desktop using either local stdio or HTTP transport.

A minimal Model Context Protocol (MCP) server that uses streamable HTTP transport to provide demo tools for calculations, notes, and time. It serves as a standalone example for testing MCP connectivity and gateway registration through a standard HTTP endpoint.

A Model Context Protocol server that provides cryptocurrency data tools and resources via an HTTP endpoint. It enables users to fetch real-time market data from Binance, track activity logs, and generate cryptocurrency executive summaries.

A calculator MCP server providing add and subtract tools, along with file resources and a code review prompt, supporting in-memory, HTTP, and STDIO transports. It also includes a LangGraph ReAct agent example that uses the tools.

A demo MCP server with streamable HTTP transport and auto tool registry, enabling LLMs to connect with external data sources and tools.

An MCP server implementation in Python with placeholder tools, deployable to Azure Web App via GitHub Actions. Supports STDIO, HTTP REST, and WebSocket interfaces.

Provides MCP servers (stdio and HTTP) with tools for calculation, text statistics, and unit conversion, plus an agent host that uses Gemini to orchestrate tool calls across them.

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

Enables connecting to and querying multiple database types (PostgreSQL, MySQL, SQLite) through a unified interface. Supports managing multiple concurrent database connections with connection pooling and SQL query execution through MCP tools.

MCP server that helps AI assistants generate accurate code and guidance for Dynamsoft SDKs.

Exposes LLM Wiki desktop capabilities via Streamable HTTP transport for MCP clients, enabling project listing, file reading, search, and knowledge graph queries through a secure API.

An MCP server that extends AI agents' context window by providing tools to store, retrieve, and search memories, allowing agents to maintain history and context across long interactions.

A minimal MCP server that provides a single 'hello' tool returning a greeting message, deployable on Render.

Wraps bare-IP HTTP REST APIs as MCP tools, supporting dynamic IP switching and stdio/SSE modes for use in AI IDEs.