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

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.

Enables client success teams to get instant, natural-language health reads on client accounts with tools for overall health, low-performing courses, and launcher-only clients.

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

Enables interaction with Jenkins servers through HTTP APIs, allowing users to list jobs, trigger builds, view logs, and manage configurations without requiring plugins or admin access.

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

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.

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.

Small diagnostic MCP server for checking what MCP clients actually support, including tools, resources, prompts, and transport behavior.

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.

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 users to manage email accounts via IMAP/SMTP, including reading, searching, sending emails with attachments and calendar invites, all through natural language interactions with MCP-compatible clients.

Enables AI tools to query context from a local JSON data source via stdio, demonstrating the Model Context Protocol.

A comprehensive MCP server and client implementation in Python exposing tools (calculator, string utilities, simulated weather), resources (file reader, system info), and prompts (code review, summarization) with security hardening and full configuration management.

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.

Exposes an observability REST API as MCP tools, enabling incident investigation through automated correlation of deploys with errors, log and metrics queries.

Enables AI assistants to read, search, and traverse your reMarkable tablet's library, including handwritten notes via OCR.

MCP server to control StarRailAssistant (SRA) on Windows. Enables listing task configurations and running SRA tasks with configurable timeout.

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.

Enables searching and accessing Readwise highlights and documents through HTTP endpoints using the Model Context Protocol. Provides vector and full-text search capabilities with streaming responses for retrieving reading highlights and notes.