Hayhooks

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Playwright MCP server

One API for Search, Crawling, and Sitemaps

MCP Advisor & Installation - Use the right MCP server for your needs

GitLab API, enabling project management

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Retrieving and analyzing issues from Sentry.io

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

Write notes to Flomo

AI image generation using various models

Location services, directions, and place details

Arch MCP provides three main capabilities: - 🔍 Resources - URI-based access to Arch Wiki, AUR packages, official repos, and installed packages - 🛠️ Tools - Search, analyze, and securely install packages with built-in safety checks - 📋 Prompts - Guided workflows for troubleshooting, security audits, and dependency analysis

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

Waver AI is an advanced text-to-video & image-to-video tool that transforms words into high-quality videos. Waver 1.0 delivers cinematic 1080p quality with superior motion modeling. Try Waver 1.0 now!

An MCP server that provides a tool for sending transactional emails via Mailtrap

Read-only database access with schema inspection

A Model Context Protocol (MCP) server providing solutions for Constraint Satisfaction Problems (CSP) and Linear Programming (LP). Built on the gurddy optimization library, it supports solving a variety of classic problems through two MCP transports: stdio (for IDE integration) and HTTP/SSE (for web clients). 🚀 Quick Start (Stdio): pip install gurddy_mcp then configure in your IDE 🌐 Quick Start (HTTP): docker run -p 8080:8080 gurddy-mcp or see deployment guide 📦 PyPI Package: https://pypi.org/project/gurddy_mcp

A FastMCP-based MCP server for converting JSON-formatted Markdown content into interactive flashcard pages. Project Overview FlashCardMCP is a FastMCP-based MCP service designed to convert Markdown content in JSON/CSV format into interactive flashcard pages. This service is suitable for learning, teaching, knowledge management, and any other scenario you desire, helping users create their own digital flashcard sets. Content Focus: Utilizes Markdown format, aligning with LLM output, allowing users to concentrate on content creation rather than irrelevant formatting details. Stable Output: Employs functions to stably generate flashcards, supporting CSS style input to meet personalized needs. Scenario-Based Templates: Provides pre-built templates for various scenarios, with further expansion planned. PDF Output: Flashcards can be printed as PDFs (8 cards per sheet), further accommodating different scenarios and real-world applications for use and memorization.

summarize chat message

Agentic Long Term Memory based on a proprietary pattern engine. Faster recall than vector databases and more deterministic.

An MCP Server for Overleaf Projects

Channel management and messaging capabilities