"A simple MCP server or implementation" matching MCP servers:

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

A demonstration server implementing the Model Context Protocol (MCP) that provides three basic tools: echo, calculator, and current time functionality.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

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 demo providing 5 basic tools for time, calculations, string operations, UUID generation, and tool listing, built with functional programming principles.

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

Enables Copilot to safely read one explicitly selected source file from a configured root directory via a single MCP tool call and receive bounded, UTF-8 text for explanation.

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

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.

An MCP server that allows checking local time on the client machine or current UTC time from an NTP server

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.

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

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.

A beginner-friendly MCP server demonstrating core concepts with calculator operations and note management capabilities (create, read, list, and delete notes).

Simple MCP Runner makes it effortless to safely expose system commands to language models via a lightweight MCP server—all configurable with a clean, minimal YAML file and zero boilerplate.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Enables AI assistants to store and retrieve persistent memories with a web management interface. Supports creating, searching, and managing memories through natural language commands or a visual web dashboard.

Enables AI agents to interact with Arduino boards for compiling, uploading sketches, and serial communication.

An MCP server that provides interval timing functionality using token-based time tracking, allowing users to start timers with unique identifiers and check elapsed time in milliseconds or human-readable format.