Mcp Server AI Agent Skills

ComputerVision-based 🪄 sorcery of local image recognition and editing tools for AI assistants Official website: imagesorcery.net 🪄 ImageSorcery empowers AI assistants with powerful image processing capabilities: - ✅ Crop, resize, and rotate images with precision - ✅ Remove background - ✅ Draw text and shapes on images - ✅ Add logos and watermarks - ✅ Detect objects using state-of-the-art models

Read and write to a Pinecone index. The server implements the ability to read and write to a Pinecone index. - semantic-search: Search for records in the Pinecone index. - read-document: Read a document from the Pinecone index. - list-documents: List all documents in the Pinecone index. - pinecone-stats: Get stats about the Pinecone index, including the number of records, dimensions, and namespace

MCP (Model Context Protocol) server for Nanana AI image generation service powered by Google Gemini's nano banana model. This server allows Claude Desktop and other MCP clients to generate and transform images using nano banana's powerful image generation capabilities. 1. Visit nanana.app and sign in 2. Go to your account dashboard 3. Generate an API token in the "API Access" section 4. Copy and s

Full documentation is available at buildkite.com/docs/apis/mcp-server. When using many MCP tools, context usage can become significant. The --dynamic-toolsets flag enables Anthropic's Tool Search pattern which marks most tools for on-demand loading. To use this feature: 1. Start the server with the --dynamic-toolsets flag: 2. Enable tool search in Claude Code by setting the environment variable: W

An MCP server providing curated Swift and SwiftUI best practices from leading iOS developers — with intelligent search, persistent memory, and optional premium integrations. If you want a lightweight, portable Swift/SwiftUI best-practices package without runtime tooling, check out: swift-patterns-skill: Designed as a portable Agent Skill focused on Swift/SwiftUI patterns, architecture guidance, an

Official MCP server for Flowbite to leverage AI for UI creation and theme generation An MCP server that enables AI assistants to access the Flowbite library of Tailwind CSS components—including UI elements, forms, typography, and plugins—while offering an intelligent theme generator for creating custom branded designs within AI-driven development environments. - 🎨 [NEW] Figma to code - Copy the F

A Model Context Protocol (MCP) server that extracts component information from Storybook design systems. Connects to Storybook instances and extracts HTML, styles, and component metadata. With self-signed certificate: Then configure in your MCP client (see Environment Variables). - Puppeteer: Uses headless Chrome for dynamic JavaScript component rendering - Chrome/Chromium: Required for Puppeteer

Build and publish websites through AI conversation. Create pages, upload assets, manage data, and deploy to custom domains — all from your favorite AI assistant. Just connect and start talking. 1. Open Le Chat → Intelligence → Connectors → + Add Connector 2. Choose Custom MCP Connector 3. Enter URL: https://mcp.websitepublisher.ai/ 4. Click Connect → Login → Done ✅ Add to your claudedesktopconfig.

An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need. - OpenAI API Key: Required for generating embeddings (local embedding support planned) - Git: Must be a git repository (respec

An enterprise-grade MCP (Model Context Protocol) server for Jenkins CI/CD integration with advanced features including multi-tier caching, pipeline monitoring, artifact management, and batch operations. - Job Management: Trigger, list, search, and monitor Jenkins jobs with folder support - Build Status: Real-time build status tracking and console log streaming - Pipeline Support: Stage-by-stage pi

:deciduoustree: MCPJungle :deciduoustree: Self-hosted MCP Gateway for your private AI agents MCPJungle is an open source, self-hosted Gateway for all your Model Context Protocol Servers. 🧑‍💻 Developers use it to register & manage MCP servers and the tools they provide from a central place. 🤖 MCP Clients use it to discover and consume all these tools from a single "Gateway" MCP Server. MCPJungle

A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools. - Query supported Kubernetes resource types (built-in resources and CRDs) - Kubernetes resource operations with fine-grained control - Read operations: get resource details, list resources by type with filtering options - Write operations: create, update, and delete resources (each

A comprehensive Model Context Protocol (MCP) server that provides Claude Desktop and other MCP clients with tools for Kafka Schema Registry operations. Features advanced schema context support, multi-registry management, and comprehensive schema export capabilities. Latest Version: v2.1.5 | Docker: aywengo/kafka-schema-reg-mcp:stable - 🚀 Quick Start - ✨ Key Features - 🛠️ Claude Code Skills - 📦

A Model Context Protocol (MCP) server that enables AI assistants to get human input when needed. This tool creates tasks on Amazon Mechanical Turk that let real humans answer questions from AI systems. While primarily a proof-of-concept, it demonstrates how to build human-in-the-loop AI systems using the MCP standard. See limitations for current constraints. - Node.js 16+ - AWS credentials with MT

Point to browser DOM elements for agentic coding tools via MCP! MCP Pointer is a local tool combining an MCP Server with a Chrome Extension: 1. 🖥️ MCP Server (Node.js package) - Bridges between the browser and AI tools via the Model Context Protocol 2. 🌐 Chrome Extension - Captures DOM element selections in the browser using Option+Click The extension lets you visually select DOM elements in the

The CockroachDB MCP Server is a natural language interface designed for LLMs and agentic applications to manage, monitor, and query data in CockroachDB. It integrates seamlessly with MCP (Model Content Protocol) clients, such as Claude Desktop or Cursor, enabling AI-driven workflows to interact directly with your database. - Cluster Monitoring - Database Operations - Table Management - Query Engin

The Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis. It integrates seamlessly with MCP (Model Content Protocol) clients, enabling AI-driven workflows to interact with structured and unstructured data in Redis. Using this MCP Server, you can ask questions like: - "Store the entire conversation in a stream" - "Cache th

Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools. It turns Keboola features—like storage access, SQL transformations, and job triggers—into callable tools for Claude, Cursor, CrewAI, LangChain, Amazon Q, and more. - Quick Start - Local Setup With the AI Agent and MCP Server, you can: - Storage: Query tables directly and manage table or bucket description

A high-performance Model Context Protocol (MCP) server for Trino implemented in Go. This project enables AI assistants to seamlessly interact with Trino's distributed SQL query engine through standardized MCP tools. This project implements a Model Context Protocol (MCP) server for Trino in Go. It enables AI assistants to access Trino's distributed SQL query engine through standardized MCP tools. T

This repository is no longer maintained. The core functionality has been integrated into all IntelliJ-based IDEs since version 2025.2. The built-in functionality works with SSE and JVM-based proxy (for STDIO) so this NPM package is no longer required. Migration: Please refer to the official documentation for details on using the built-in functionality. Issues & Support: For bugs or feature request

A Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications. - Local Vector Storage: Uses FAISS for efficient similarity search without external dependencies - Document Ingestion: Automatically chunks and embeds documents for storage - Semantic Search: Query documents using natural language with sentence

Longbridge MCP Server Official MCP server for the Longbridge brokerage. 145 tools across real-time quotes, options, order routing, fundamentals, analyst ratings, calendars, IPO, price alerts, DCA plans, portfolio analytics and community sharelists — covering US and HK markets. Built with Rust using rmcp and axum. - 145 MCP tools across 13 categories: quotes, trading, fundamentals, screener, market

A Model Context Protocol (MCP) server that provides access to the MongoDB Atlas API. This server wraps the mongodb-atlas-api-client package to expose MongoDB Atlas functionality through MCP tools. This MCP server exposes most of the mongodb-atlas-api-client surface as MCP tools. - userget — Get a database user by username - usergetall — List all database users - usercreate — Create a database user

These MCP servers are a part of the Neo4j Labs program. They are developed and maintained by the Neo4j Field GenAI team and welcome contributions from the larger developer community. These servers are frequently updated with new and experimental features, but are not supported by the Neo4j product team. They are actively developed and maintained, but we don’t provide any SLAs or guarantees around