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Enables AI assistants to perform comprehensive code reviews of local uncommitted changes by combining git diffs with static analysis from linters like ESLint and TypeScript. Returns structured JSON feedback with findings, suggestions, and quality assessments powered by Google's Gemini CLI.

On-chain Solana token safety for AI trading agents — screens any token for rugs, honeypots and mint/freeze authority traps by reading the chain directly, then executes the buy through a safety-verified, MEV-protected route.

Enables an AI agent to query a patient-records SQLite database with tools for schema inspection, safe SQL queries, patient risk assessment, and readmission risk analysis.

Enables AI assistants to search, get details, and download torrents from the M-Team private tracker via its API.

This MCP server implementation provides tools for working with JSON Canvas files according to the official specification. It enables creating, modifying, and validating infinite canvas data structures, supporting all node types and edge connections. The server offers a RESTful API for canvas operations, includes example resources, and can export canvases to different formats. It's designed for applications requiring AI assistants to interact with and manipulate canvas-based data visualizations.

Exposes the OpenProject REST API as MCP tools for project management, including creating and managing projects, work packages, relations, attachments, users, notifications, watchers, boards, and reference data.

Lucid provides a real-time knowledge layer that grounds AI agent responses in verified, live data. It exposes four tools for documentation search, package version checking, fact verification, and API reference fetching, all backed by a cloud API that queries authoritative sources. The local MCP server handles authentication and forwards requests to the Lucid API, which cross-references official documentation, package registries, API specifications, and release notes. An accompanying skills system auto-triggers the appropriate tools based on conversation context, ensuring agents proactively reach for current data without manual invocation.

A simple memory storage server for Claude using the Model Context Protocol (MCP), enabling Claude to store and retrieve text memories across conversations.

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A simple system that allows Claude to leave and manage notes for itself across sessions, functioning like an 'Alexa, remind me...' for AI assistants.

Connects Claude to the Ticketmaster API to let users discover local events by city, category, keyword, or weekend through natural conversation.

This MCP server provides Android Debug Bridge (ADB) integration, enabling AI assistants to interact with Android devices and emulators through standard ADB commands. The implementation wraps ADB functionality as MCP tools, allowing for device management, app installation, file operations, and debugging tasks directly from AI conversations. It's particularly useful for Android developers and testers who want to automate device interactions, troubleshoot applications, or perform bulk operations across multiple devices without manually executing ADB commands.

The official MCP server for Magic UI design system provides AI assistants with structured access to Magic UI's component library. Built by Beau Hayes-Pollard, it exposes tools for retrieving implementation details of UI components organized by categories like buttons, animations, text effects, and backgrounds. The server fetches component data from the Magic UI registry, formats it with proper installation instructions, and delivers it through categorized tools that help AI models generate accurate code suggestions for implementing visually appealing UI elements in web applications.

Enables AI assistants to securely execute remote SSH commands, perform file transfers, and monitor system status through a standardized interface. It features robust security controls including command whitelisting, blacklisting, and credential isolation to prevent unauthorized operations.

An MCP server that enables searching for messages and listing channels within a Slack workspace. It provides tools to retrieve channel history and filter messages based on text matching and date ranges.

GenPark AI Agent Skill - Practical Byzantine Fault Tolerance (PBFT) 3-phase consensus pre-prepare/prepare/commit with 2f+1 quorum verification.

A ready-to-deploy MCP server with in-process agent verification via KYA-OS Checkpoint, enabling secure tool access for verified agents.

Non-custodial memory MCP server with client-side encryption, enabling secure remember, recall, forget, and share operations with post-quantum security.

Integrates with Catalog's data management platform at studio.igot.ai, enabling natural language operations for data catalog discovery, master data management, and automated AI transformation workflows. Provides tools for listing catalogs and collections, exploring schema attributes with prompt templates, managing data assets, and ingesting plain text data with optional AI processing. Built with TypeScript and the MCP SDK, supports enterprise data workflows through API key authentication and structured data operations across catalogs, collections, and master data tables.

Enables stateless tarot card draws for character-led readings, with support for single, three-card, and relationship spreads, and generates SullyOS HTML cards for display.