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Local MCP server that compresses images and videos, extracts video frames, and prepares media for AI vision agents by returning file paths instead of inline base64.

Converts linear Markdown documents into styled Google Slides presentations with customizable themes and layouts.

MCP server for VoxFactura enabling AI assistants to query business data (invoices, expenses, project margins, clients, VAT) and create draft quotes or mark invoices paid via a scoped API, with no direct client sends.

Verifies that AI-generated UI code matches Figma design specs by rendering components in a real browser, comparing computed CSS, and returning patch-ready fixes with scored parity reports.

MCP server implementation by Rob Spectre that provides AI assistants with complete control over MultiViewer, a desktop application for watching Formula 1 and other motorsports with multiple synchronized video streams. The implementation offers three interfaces: a Python library for programmatic control, a Click-based CLI for StreamDeck integrations and automation, and an MCP server exposing tools for creating, deleting, and manipulating video players, accessing F1 and WEC live timing data, and synchronizing playback across multiple streams. Built with GraphQL integration to MultiViewer's local API (localhost:10101), the server enables AI agents to orchestrate complex multi-stream viewing experiences including picture-in-picture layouts, driver onboard positioning, commentary synchronization, and real-time race data integration, making it valuable for motorsports enthusiasts who want conversational control over their viewing setup and broadcasters needing automated stream management during live events.

A MCP server for integrating with self-hosted Jira Server, enabling issue search and management via JQL and other commands through natural language.

A Model Context Protocol (MCP) server that empowers AI assistants (like Claude, Cursor, etc.) to seamlessly interact with both your Local GitOps Repository (Desired State) and your Live Kubernetes Cluster (Actual State).

Provides access to Reddit's API for retrieving posts, comments, user information, and search functionality. Supports multiple authentication methods and comprehensive Reddit data operations including subreddit browsing, post retrieval, and user profile access.

An MCP server that enables the creation of Canvas Common Cartridge (.imscc) packages from structured course data using the canvas_cc Ruby gem. It allows users to programmatically build course content including modules, assignments, and rubrics for import into compatible Learning Management Systems.

This OptionsFlow MCP server, developed by Todd Wolven, provides advanced options analysis and strategy evaluation through Yahoo Finance. Built with Python and leveraging libraries like yfinance and scipy, it offers tools for analyzing options chains, calculating Greeks, and evaluating basic options strategies such as credit spreads, cash-secured puts, and covered calls. The implementation stands out by providing comprehensive risk metrics and liquidity analysis, making it valuable for AI assistants or applications needing to assess options strategies. It's particularly useful for tasks like portfolio risk management, options strategy backtesting, or building financial advisory tools that require in-depth options data and analysis capabilities.

Enables Brave Search tools (web, news, image, video, local, summarizer) via remote MCP over HTTP, deployable on Cloudflare Workers with optional Cloudflare Access authentication.

Extract website content quickly for research and analysis. Read documentation, summarize pages, and gather insights from across the web. Receive clean, structured output that preserves links and hierarchy.

Enables querying authoritative product data from GS1 Brasil's Verified by GS1 API via GTIN, including brand, description, classifications, images, weights, dimensions, and licensee details, with support for national and international bases and batch enrichment.

The OpenAPI Schema MCP server exposes OpenAPI specification information to Large Language Models through a set of specialized tools. Developed by Hannes Junnila, it loads any OpenAPI schema file (JSON or YAML) and provides tools for exploring API paths, operations, parameters, schemas, and security definitions. The server converts complex OpenAPI structures into YAML format for better LLM comprehension and includes features like endpoint listing, schema searching, and example retrieval. It's particularly valuable for workflows requiring API exploration and understanding within AI assistant conversations, eliminating the need to manually parse OpenAPI documentation.

MockMCP provides a hosted MCP endpoint with realistic fake data for prototyping and testing AI agents. The server offers 12 tools including fake customer data, product catalogs, and inventory records. No setup or API key required.

Enables natural language management of ZenTao tasks in Claude, including listing executions/tasks, batch creating/updating/closing tasks, and uploading image/video attachments.

A secure Gmail MCP server that lets Claude search, read, and triage mail, draft replies, and send drafts—with encrypted credential storage, scoped OAuth permissions, and explicit human checkpoints before any irreversible action.

Connects AI agents to the Counsel API for strategic reasoning and multi-perspective analysis through debate-style consultations. Enables complex decision-making by analyzing questions from multiple stakeholder perspectives with varying depths of analysis.

Enables AI agents to perform Lido staking operations (stake, unstake, wrap, unwrap, check balances/rewards) via natural language.

Enables LLMs like Claude to bidirectionally chat with diffusion-based LLMs (e.g., DiffusionGemma, LLaDA) via a persistent llama-diffusion-cli process, with support for restarting sessions and full configuration.