A standalone MCP server generated from an OpenAPI specification that exposes Petstore API endpoints as tools for AI assistants. It utilizes SSE transport to enable models to interact with pet store management functionalities through natural language.
Exposes Petstore API endpoints as tools for AI assistants using the Model Context Protocol via SSE transport. It enables users to interact with the Petstore service through natural language by proxying requests to the target API.
Automatically installs and containerizes MCP servers from GitHub repositories using MCP sampling to analyze repositories and create appropriate Docker images.
A Python-based FastMCP server that provides financial tools for securities analysis, including market data, news, fundamental/technical analysis, and visualization capabilities that can be consumed by any MCP-aware client.
Enables AI agents to analyze images through vision AI providers (Gemini, OpenAI, Claude), performing tasks like image description, object detection with bounding boxes, region-specific analysis, and precise color extraction without consuming context window with raw pixels.
Enables web search through Google and Wikipedia plus content extraction from any webpage via the Seekr API. Provides real-time search results with advanced filtering options and clean text extraction capabilities.
(DO NOT USE, NOT READY) A Model Context Protocol (MCP) server that enables AI Agents to request and manage Selenium browser instances through a secure API. Perfect for your automated browser testing needs! 🚀
A Model Context Protocol server implementation that enables browser automation through standardized MCP clients, supporting features like navigation, element interaction, and screenshots across Chrome, Firefox, and Edge browsers.
Send emails directly from Cursor with this email sending MCP server
Integrates Sentry error monitoring with AI-powered analysis to automatically capture frontend JavaScript errors and provide intelligent repair suggestions through multiple AI models including OpenAI, Claude, and Gemini.
Um servidor MCP completo para integração com Sentry no Cursor, oferecendo 27 ferramentas para monitoramento de erros, performance e saúde de aplicações.
A simple MCP Server with shell execution capabilities that can be run locally with Ngrok tunneling or hosted in an Ubuntu 24 Docker container.
A simple MCP Server with Shell Execution capabilities that can be connected to locally via Ngrok or hosted in an Ubuntu24 Docker container.
A Node In Layers package that simplifies creation of MCP (Model-Control-Protocol) servers with tools for defining models, adding CRUD operations, and interacting with clients.
A cross-platform shell command execution server that supports Windows, macOS, and Linux environments with PowerShell, CMD, GitBash, and Bash shells, optimized for Japanese language environments.
A server implementation demonstrating how AI models can interact with external tools and services through Model Context Protocol, featuring integrations for calculator functions, GitHub repositories, and Google Maps searches.
A Model Context Protocol implementation that enables large language models to call external tools (like weather forecasts and GitHub information) through a structured protocol, with visualization of the model's reasoning process.
A Model Context Protocol Server for Pica, built in TypeScript
MCP server that provides tools and resources for integrating Hugeicons into various platforms. It implements a Model Context Protocol (MCP) server that helps AI assistants provide accurate guidance for using Hugeicons.
A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.
