A minimal Model Context Protocol (MCP) server demonstrating tools, resources, and prompts.
Send friendly greetings in multiple languages, run quick calculations, and get the current time for any timezone. Generate images from text prompts to visualize ideas. Boost development with a ready-m
Comprehensive MCP server for Apache Druid that provides extensive tools, resources, and prompts for managing and analyzing Druid clusters.
Multiply numbers quickly and accurately within your workflows. Automate repetitive numeric operations to reduce errors. Integrate straightforward multiplication into prompts and scripts.
A zero-cost MCP server that forces AI to self-correct generation messages using prompt injection, independent self-audition and context isolation.
A lightweight but powerful server that enables AI assistants to execute AWS CLI commands, use Unix pipes, and apply prompt templates for common AWS tasks in a safe Docker environment with multi-archit
Provide a simple notes system with capabilities to create, list, and summarize text notes. Enable easy management of notes as resources and generate summaries using prompts. Facilitate integration wit
Jumpstart your workflow with a ready-to-run TypeScript starter featuring examples for math, greetings, time queries, image generation, and code review. Customize actions, resources, and prompts to fit
Extract structured data from any website. Just prompt and get JSON.
A comprehensive proxy server that combines multiple MCP servers into a single interface with extensive visibility features. It provides discovery and management of tools, prompts, resources, and templ
Manage your Clockify time entries effortlessly by sending prompts to an LLM. Add, view, and control your time tracking directly through AI-powered interactions. Simplify your time management workflow
Provide a server implementation for the Model Context Protocol (MCP) to enable dynamic integration of LLMs with external data and tools. Facilitate standardized access to resources, tools, and prompts
Greet people, perform quick calculations, and generate images from text prompts. Retrieve basic environment specs. Customize it as a simple starting point for your workflows.
MCP server for the Dingo: a comprehensive data quality evaluation tool. Server Enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules&prompts listing.
Search the web with full-page retrieval and contextual results. Translate text across languages, including Portuguese and English. Optimize your prompts with professional templates for clearer, more e
Streamline workflows by connecting your app’s data and actions directly into your workspace. Discover and run key operations with clear, guided prompts. Boost productivity with secure, configurable ac
Provide a server implementation that integrates with the Model Context Protocol to expose tools, resources, and prompts for LLM applications. Enable dynamic interaction with external data and actions
Security intelligence for AI agents: password breach checks (900M+ HIBP hashes), email/domain/IP/URL reputation, prompt injection detection (200+ patterns), and skill supply chain scanning. Pay-per-re
Get current weather for any city and create images from your prompts. Streamline planning, reports, and storytelling by combining quick data lookups with visual creation. Receive shareable image links
Provide a scaffold for building MCP servers with ease. Enable rapid development and testing of MCP tools, resources, and prompts. Simplify integration with the Model Context Protocol ecosystem.
Enables interactive LLM workflows by adding local user prompts and chat capabilities directly into the MCP loop.
Provide a streamlined and extensible MCP server implementation that enables seamless integration of LLMs with external tools, resources, and prompts. Facilitate dynamic context enrichment and tool inv
Greet anyone instantly with a simple command. Use a ready-made prompt to craft quick salutations. Explore the origin story of 'Hello, World'.
Beelzebub is a honeypot framework that lets you build honeypot tools using MCP. Its purpose is to detect prompt injection or malicious agent behavior. The underlying idea is to provide the agent with