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A Model Context Protocol (MCP) server that enables AI assistants to interact with Amazon CloudWatch Logs through a standardized interface using AWS SDK.

This MCP server implementation provides a bridge to Storybook, enabling AI assistants to interact with and retrieve stories from Storybook configurations. Developed by Danny Williams, it offers a tool for getting stories from a specified Storybook config directory. The server is built using TypeScript and integrates with the Model Context Protocol SDK, making it useful for developers working on React Native projects who want to incorporate AI-assisted story management and retrieval.

Provides full read and write access to Korean HWP and HWPX word processor file formats. Parses document structure, text content, tables, and formatting from existing files, and generates new documents with specified content. Supports both the legacy OLE-based HWP format and the modern XML-based HWPX format used by the Hangul Word Processor.

MCP server for Draw Things - local AI image generation on Mac

AI-powered property intelligence for instant zoning analysis, buildability assessments, ADU eligibility, flood risk, and development feasibility reports for any US address.

A Model Context Protocol (MCP) toolkit for integrating Shodan's powerful search and intelligence capabilities into your applications.

GenPark AI Agent Skill - Multi-file AST symbol table and dependency graph builder, caller-callee indexing, and change blast radius calculator.

Systemonomic provides AI agents with three server modules exposing Work Domain Analysis, AI Task Suitability Scoring, and Organisational Design capabilities through Systemonomic's cloud API. Users authenticate with an API key to access tools for analyzing work structures, evaluating which tasks are suitable for AI automation, and designing organisations.

MCP server for local transaction signing on EVM, UTXO, Tron, and XRP — no API calls needed

This MCP server implementation provides a pluggable knowledge graph memory server, forked from the official version. It maintains the same interfaces as the original while offering enhanced flexibility through its pluggable architecture. The implementation is built using TypeScript and includes configuration for building, testing, and packaging the server. It's designed for use cases requiring customizable knowledge graph storage and retrieval within MCP-compatible systems.

애플 캘린더와 연동 가능한 MCP Server

Enables agents to request and receive user feedback during task execution through a terminal-based interactive feedback system.

A Model Context Protocol (MCP) server (using java sdk 0.11.0) that provides email sending capabilities through SMTP integration. This server acts as a bridge between MCP-compatible AI assistants (like Claude Desktop) and email services.

ClinicalTrials MCP — wraps ClinicalTrials.gov API v2 (free, no auth)

Enables AI assistants to list, search, and inspect issues on any public GitHub repository via natural language.

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GenPark AI Agent Skill - Structured output formatting and grammar fence stripper ensuring clean JSON, YAML, and XML payloads without markdown leakage.

Enables high-quality image generation using Google's Imagen 3.0 model via the Gemini API, with support for multiple images per request and automatic file management and HTML preview generation.

World geographic data for AI agents. 261 countries, 13.4M cities.

A macOS-based MCP server that allows for capturing screenshots of displays and windows, as well as recording window activity to MP4 files. It leverages a Swift CLI backend to interact with macOS CoreGraphics and AVFoundation APIs for seamless screen capture management.