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A conversational AI server that enables users to search Wikipedia and retrieve information through natural language interactions using LangGraph and Model Context Protocol (MCP).

Organizes AI conversations into hierarchical thread trees to reduce token consumption by replacing full conversation histories with concise structured summaries. Supports both solo and collaborative team modes with git-friendly file-based YAML and Markdown storage. Requires Node.js 18+ with zero external database dependencies.

MCP server for Akiflow task management with Meeting Assistant support. Enables creating, updating, scheduling tasks, managing calendars, and accessing meeting recordings, summaries, and action items.

Ask your AI assistant how often AI search picks a brand first. Free Recommendation Rate lookup from Modern Discovery.

A Model Context Protocol server for HarmonyOS development, enabling AI assistants to interact with HarmonyOS projects, devices, and applications.

An MCP server that scans web projects for Russian Federal Law 152-FZ compliance, identifying risks like missing consent checkboxes, cookie banners without opt-out, and unauthorized trackers, with legal references and fix suggestions.

MCP Gateway and Registry for AI agents.

Enables searching and retrieving detailed information from PubMed articles using the NCBI Entrez API. Supports configurable search parameters including title/abstract filtering and keyword expansion to find relevant scientific publications.

Exposes OpenAPI specifications as MCP tools, enabling AI assistants to explore and understand API structures, endpoints, schemas, and documentation through semantic queries.

A standalone local MCP server that serves HeroUI v2 component documentation, source code, style definitions, and theme tokens by fetching directly from the official GitHub repository.

Provides loop control and management operations for development workflows. Published as an npm package with clear documentation and well-defined use cases.

A demonstration project that implements a Model Context Protocol (MCP) server with example tools for calendar, task management, and weather functionality in a Docker container.

Give AI agents full control over iOS/macOS development via a native macOS app with 30+ MCP tools.

This MCP server, developed by @hmk, provides integration with Attio, an AI-native CRM platform. Built with TypeScript and leveraging the Model Context Protocol SDK, it enables AI assistants like Claude to interact with Attio's API for reading company records and notes, as well as writing company notes. The implementation focuses on providing a standardized interface for CRM operations, with potential for expansion to other Attio activities. It's particularly useful for AI-assisted customer relationship management, enabling use cases such as automated data retrieval, note-taking during customer interactions, and AI-enhanced CRM analysis without directly navigating Attio's interface.

Provides mathematical calculation capabilities using MathJS, enabling expression evaluation and derivative calculation.

Offline TikTok API docs mirror with AI agent skill (SKILL.md) for Claude Code, MCP agents & LLM-powered dev tools. Covers TikTok Platform API & Shop Partner API — no browser required.

Enables users to access five astrology tools via JSON-RPC, including natal chart, sun sign, market pulse, weather, and combined celestial conditions, integrating Free Astrology API, CoinGecko, and Open-Meteo.

Enables Open WebUI to execute bash commands for coding tasks in a persistent projects workspace, with configurable timeouts and output limits.

Tracks historical changes of Twitter usernames to detect frequent screen name changes, which can be a red flag for potential scam risks.

Exia-MCP is a server implementation for generating Voiceroid explanation scenarios, designed to work with the Exia application. Built with TypeScript and leveraging the OpenAI API, it provides a bridge between AI assistants and the Voiceroid text-to-speech system. The server processes scenario requests through the Model Context Protocol SDK, transforming them into structured explanations suitable for Voiceroid narration. It's particularly useful for creators who need to automate the generation of explanatory content with the natural-sounding voice synthesis that Voiceroid offers.