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Enables developers to compare their code predictions against AI-generated implementations, log misconceptions, and receive spaced-repetition learning feedback to guide their understanding of gaps.

MCP server for WizNote private server, enabling agents to search, read, write, and manage notes, and save webpages (including WeChat articles) as notes with image localization.

Enables AI assistants to interact with Mealie recipe databases, allowing users to manage and query their recipes through natural language conversations.

Enables AI assistants to query the latest F1 news from the official F1 website in real-time, with pagination support and automatic Chinese translation.

Provides tools for Chinese character stroke order animation with tracing practice and real-time weather queries for major cities.

Enables AI assistants to create, edit, and manipulate PowerPoint presentations programmatically with support for text styling, shapes, slide rearrangement, and direct Office XML access.

A Model Context Protocol server that enables large language models to interact with Apache Superset databases through REST API, supporting database queries, table lookups, field information retrieval, and SQL execution.

This MCP server provides complete Alpaca trading platform integration, enabling AI assistants to manage stock and options trading accounts through paper and live trading environments. Built using Python with the alpaca-py SDK and FastMCP framework, it offers account monitoring with real-time balance and position tracking, comprehensive order management supporting market, limit, stop, stop-limit, and trailing stop orders, historical and real-time market data retrieval including quotes, bars, and trade history, position management with partial and full closure capabilities, watchlist creation and management, and market calendar information with corporate action announcements. The implementation includes proper error handling for API rate limits and trading restrictions, environment variable configuration for secure credential management, and support for both stock and options trading workflows, making it valuable for algorithmic trading development, portfolio management automation, and financial analysis workflows that require programmatic access to brokerage account functionality.

An Model Context Protocol server that enables LLMs to autonomously reverse engineer applications by exposing Ghidra's decompilation and analysis tools. It allows AI agents to list code structures, rename methods, and analyze binaries directly through MCP-compatible clients.

This MCP server, developed by Barton Rhodes, provides text-to-speech functionality using macOS's built-in 'say' command. It offers extensive customization options for voice, rate, volume, and emphasis, allowing for dynamic speech modulation. The server integrates seamlessly with other MCP tools, enabling scenarios like reading search results or YouTube transcripts aloud. It differentiates itself through its focus on macOS-specific capabilities and its support for background speech processing. This implementation is particularly useful for creating audio content, enhancing accessibility, or adding voice output to various applications and workflows on macOS systems.

MCP server bridging AI agents to Synthetix

AI Employee for Business purpose with real time domain hosting and Data.

MCP server that integrates with 脉脉 (maimai.cn) recruitment API, enabling AI agents to manage contacts, recommend talents, view chat history, and send messages to candidates via natural language.

Verifies npm package names for safety, detecting typosquats and nonexistent packages before your coding agent installs them.

Five general-purpose stdio MCP servers for SEO: access to SERP, Wordstat, Google Search Console, Yandex.Webmaster and Yandex.Metrica straight from Claude Code (or any MCP client). All tools are read-only, output is strict JSON. Not tied to a specific site: defaults (GSC property, Webmaster host, Metrica counter) are configured on the fly.

This Dify MCP server, developed for integrating Dify's AI capabilities with the Model Context Protocol, provides a bridge between Dify's API and MCP-compatible clients. Built with TypeScript and leveraging the MCP SDK, it enables AI assistants to interact with Dify's features, including text generation and potentially other AI services. The implementation focuses on efficient API communication, handling streaming responses, and managing authentication. It's particularly useful for developers looking to incorporate Dify's AI capabilities into MCP-based systems, allowing for seamless integration of Dify's functionalities without deep knowledge of its API intricacies.

A puzzle-solving MCP server that hosts a collection of lateral thinking puzzles from the 'Haiguitang' (海龟汤) tradition, a popular Chinese puzzle format similar to 'situation puzzles' or 'yes/no games.' The server provides access to over 30 puzzles stored as markdown files, allowing AI assistants to facilitate interactive puzzle-solving experiences where users ask yes/no questions to uncover the solution to mysterious scenarios. Built with Python 3.12 and the MCP framework, this implementation enables engaging critical thinking exercises and collaborative problem-solving activities.

Exposes the full WhatsApp API via Evolution API, enabling message sending, chat history, group management, and more through MCP tools.

Enables LLM clients to interact with ThreatConnect v3 for case management and threat intelligence, providing typed tools for creating/updating cases, indicators, and artifacts while handling HMAC authentication and API quirks.

MCP-OP-Return is a server implementation that bridges Bitcoin's blockchain with AI assistants by integrating with opreturnbot.com. It enables users to create Bitcoin transactions with OP_RETURN outputs containing custom messages, permanently embedding text in the blockchain through a Lightning Network payment flow. The server exposes tools and prompts that allow MCP clients to generate Lightning invoices for message embedding and retrieve previously stored OP_RETURN messages from transactions, making blockchain data interaction accessible through conversational AI interfaces.