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

Enables MCP clients to connect over HTTP/SSE, call simple echo, arithmetic, uppercasing, and time tools, and run asynchronous tasks with approval elicitations via the Tasks extension.

Enables fetching HTTP resources through the MCP protocol.

Provides AI agents a secure MCP interface to a single MySQL or MariaDB database, enabling schema inspection, read-only queries, query planning, and guarded write operations with strict safety controls.

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

Stateful interactive HTTP REPL and Agentic MCP engine for API navigation and testing.

A local MCP server that enables LLMs to execute shell commands on remote hosts over SSH with multiple authentication methods.

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.

A TypeScript-based MCP server that generates API clients from OpenAPI specifications, allowing automated code generation through natural language.

Lets AI agents and developers list a catalog of troubleshooting datasets, preview up to three records per product for free, and get Lightning payment instructions to unlock full structured datasets.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

Self-contained SearXNG MCP server in Docker. Aggregates 200+ search engines across 30+ categories with multi-page fanout, autocomplete, and engine discovery. Dual transport (HTTP + stdio), API key auth, and built-in Web UI reverse proxy.

Sovereign, encrypted, persistent memory for AI agents. Eight MCP tools — remember, recall, forget (GDPR Art. 17 erasure), share, governance. Anchored on COTI V2 mainnet. Apache-2.0.

Model Context Protocol server: plug AEMET into Claude Desktop, Cursor, Windsurf or any MCP client. Runs locally over stdio.

A Simple Model Context Protocol server that enables AI assistants to interact with Jira, allowing operations like fetching tickets, adding comments, and updating ticket status.

MCP server: is this GitHub repo still maintained? A verdict.

Enables AI agents to generate branded talent documents such as assessment reports, executive profiles, shortlists, and client deliverables in DOCX, PPTX, PDF, or Excel formats from source text or LinkedIn profiles.

Provides AI agents with real email infrastructure, enabling them to create inboxes, send/receive messages, and extract verification codes from incoming mail.

WhatsApp notifications and human-in-the-loop for AI agents. Text "join" to get an API key, then send messages, ask questions with tap-to-answer buttons, and read replies - no Meta account, no templates, no dashboard.

it is a simple to-do list CRUD MCP Server