A macOS app that provides an MCP server to your Messages, Contacts, and more
IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real
Enables searching, discovering, and playing movies from IMDb via a Model Context Protocol server with a playback layer and monitoring dashboard.
Provides access to IMDB movie and person data, including searches, cast details, and top-rated lists through the Model Context Protocol. It enables LLMs to fetch structured cinematic metadata and filmographies using the Cinemagoer backend.
A Model Context Protocol server for reading iMessage data from macOS.
A local MCP server that enables reading iMessage conversations and sending new messages through Claude Desktop. It provides secure, read-only access to your Mac's iMessage database and AppleScript-based message sending capabilities.
A read-only MCP server that exposes your iMessage data to Claude Code and Claude Desktop, with automatic contact name resolution.
Enables Claude to send and read iMessages on macOS, with smart contact lookup, message history retrieval, and cross-conversation search using natural language commands.
Enables reading, searching, and sending iMessages directly from MCP-compatible clients by accessing the local macOS iMessage database, supporting conversations, attachments, and both individual and group chats.
Enables reading, searching, and sending iMessages on macOS by accessing the local messages database and utilizing AppleScript. Users can list conversations, search message history, and send messages to individuals or group chats directly through the Model Context Protocol.
Enables full-text search of macOS iMessages including link preview metadata. Works as an MCP server for Claude Desktop to search your messages locally.
Provides tools for generating optimized images via Google's Gemini model and fetching weather forecasts and alerts from the National Weather Service. It enables users to create visual content and retrieve environmental data seamlessly within MCP-compatible clients.
Connecting Models to Your Creativity. We aspire to bring the unique capabilities of AI models to every creative individual, delivering better experiences, lower costs, and higher efficiency. This is the meaning behind our creation of ImgMCP.
Enables AI assistants to interact with img-src.io for uploading, searching, and managing images through natural language. It provides tools for image transformations, CDN URL generation, and account usage monitoring.
An MCP server for Immich self-hosted photo management that provides AI-accessible tools for browsing, searching, organizing, and managing photo libraries with duplicate detection and safe deletion workflows.
An MCP server that enables the creation of Canvas Common Cartridge (.imscc) packages from structured course data using the canvas_cc Ruby gem. It allows users to programmatically build course content including modules, assignments, and rubrics for import into compatible Learning Management Systems.
Provides real-time air quality monitoring and historical data analysis for InBiot MICA sensors with integrated WELL Building Standard compliance checks. It allows users to compare indoor conditions with outdoor weather and receive actionable health recommendations based on global air quality standards.
Enables AI assistants to interact with the Inbound Email API to manage domains, endpoints, and email communications. Users can send or schedule emails, manage webhooks, and retrieve email threads through natural language commands.
Model–Context–Protocol (MCP) Server A modular, extensible Rust-based server providing short-term, long-term, and latent memory services, a chat endpoint backed by a BaseAgent + Sentience DSL, and seamless integration with ChromaDB and LLM services.
Connects Claude to E\*Trade for income-oriented trading research, providing real-time quotes, option chain lookups, and put-sell candidate screening with annualized yield filters.
