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An MCP server for Reddit built with the Smithery CLI, enabling AI agents to interact with Reddit data and content.
An MCP weather server built with Smithery CLI that provides US weather alerts and forecasts, with the ability to respond in fun tones like a pirate.
MCP server that provides AI assistants with Photoshop automation capabilities through the photoshop-python-api, enabling programmatic control of Adobe Photoshop on Windows.
Deprecated MCP proxy server (replaced by MetaMCP 2.0) that joined multiple MCP servers into one, routing tool/prompt/resource requests to correct underlying servers based on MetaMCP App configuration.
MCP server for accounting practices automating bookkeeping, tax planning, payroll processing, sales tax compliance, and client management with QuickBooks integration and AI-powered categorization.
MCP server supporting multilingual greetings (English, Korean, Japanese) and AI image generation using the FLUX.1-schnell model via Hugging Face API.
Persistent memory system for AI coding assistants that learns codebase architecture, patterns, and conventions across sessions, routing features to files and providing instant context.
MCP server providing MySQL database operations through a standardized interface, enabling AI models to query, insert, update, and manage MySQL databases with configurable connection settings.
from ilil1/mcp_server_streamable_http
An advanced MCP server for automated penetration testing that provides attack path planning using Beam Search and MCTS, step-by-step reasoning for CTFs and real-world pentests, and tool recommendations. Implements the LIMA research paper for AI-augmented initial machine access.
MCP server for ESP-IDF workflows that consolidates ESP-IDF commands in one place, enabling project creation, target setup, building, flashing, serial port listing, and pytest execution for ESP32 devices through LLM communication.
Versatile server bridging Gemini CLI with MCP and OpenAI ecosystems, exposing built-in Gemini tools through MCP protocol and providing an OpenAI-compatible API for 400+ model access.
Enables AI assistants to query MariaDB databases and perform vector-based semantic search through a standardized protocol.
MCP server for Metabase integration that allows AI assistants to interact with Metabase API. Provides access to dashboards, questions/cards, and databases as resources with tools for listing and executing queries.
MCP server that provides read access to Dropbox files with file listing, content reading (PDF, DOCX, TXT, code files), name-based search, content search within files, and detailed file metadata retrieval.
An interactive decision menu MCP server for the ChatGPT Apps SDK that surfaces contextual choices on every assistant turn, supporting pre-computed menus or lightweight defaults with a React widget rendered as an iframe.
An intentionally vulnerable MCP server designed for security education, demonstrating common vulnerabilities including command injection, path traversal, SQL injection, XXE, and deserialization attacks with hands-on exercises.
MCP server that provides MySQL database operations, enabling AI models to interact with MySQL databases through a standardized interface with connection string or environment variable configuration.
MCP server for downloading and transcribing Twitter Spaces using Deepgram AI, supporting availability checks, downloads, AI-powered transcription, and multiple transcript formats including JSON, TXT, paragraphs, time-coded, and summaries.
Production-ready MCP server bridging Gemini CLI with MCP clients like Claude Code, featuring OpenRouter AI integration for 400+ models and 33 specialized tools for multi-AI workflows.
Enables centralized management and monitoring of JFrog Platform repositories, builds, artifacts, and infrastructure through a standardized Model Context Protocol (MCP) server interface.
MCP server for OpenProject built on the FastMCP framework, providing AI assistants with complete project management capabilities through automatic OpenAPI-to-MCP conversion with HTTP remote access support.
Enables large language models to interact with Nextcloud data through a secure API, allowing AI assistants to create, read, update, and delete content across Nextcloud apps via natural language.