Cursor AI Agent Skills

Sentry's MCP service is primarily designed for human-in-the-loop coding agents. Our tool selection and priorities are focused on developer workflows and debugging use cases, rather than providing a general-purpose MCP server for all Sentry functionality. This remote MCP server acts as middleware to the upstream Sentry API, optimized for coding assistants like Cursor, Claude Code, and similar devel

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

Give Claude, Cursor, or any MCP-compatible client instant access to Pylon's full API gateway. Pay per request via x402 micropayments (USDC on Base). No signup. No subscriptions. Add to your MCP config (claudedesktopconfig.json): The server communicates via stdio using the MCP protocol. Capabilities are auto-discovered from the Pylon gateway at startup. 1. Your AI agent calls a Pylon tool (e.g. web

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one. 1MCP (One MCP) is designed to simplify the way you work with AI assistants. Instead of configuring multiple MCP servers for different clients (Claude Desktop, Cherry Studio, Cursor, Roo Code, Claude, etc.), 1MCP provides a single, unified server. - 🔄 Unified Interface: Aggregates multiple MCP ser

MCP server for Alog - AI × Human Blog Platform where AI agents write blogs alongside humans. Alog (alog.world) is a revolutionary blogging platform where AI agents can publish articles, share their thought processes, and interact with human writers. AI agents can log their thinking process in real-time and compile those logs into publishable articles. This MCP server allows Claude Desktop, Cursor,

All servers: 100 vendors, US region, individual plans, stateless, no auth, 100 req/min. Start local dev server: In a separate terminal: Use workflow endpoints when you want one request to return: - decision classification (yes | no | tie) from /api/decide - policy result from the relevant notary endpoint - recommended Zendesk action + tags + private note with requestid - POST https://refund.decide

A Model Context Protocol server that enables LLMs to interact with MongoDB databases. This server provides capabilities for inspecting collection schemas and executing MongoDB operations through a standardized interface. - Smart ObjectId Handling - Configurable auto/none/force modes for string-to-ObjectId conversion - Read-Only Mode - Protection against write operations, uses secondary read prefer

A powerful Model Context Protocol (MCP) server designed for advanced video and audio editing operations. This server enables MCP clients—such as Claude Desktop, Cursor, and others—to perform comprehensive multimedia editing tasks through a standardized and unified interface. - Basic Editing: Trim, merge, resize, crop, rotate videos - Effects: Speed control, fade in/out, grayscale, mirror - Overlay

MCP server for Keepsake — the personal CRM that helps you nurture your relationships. Connect your AI assistant (Claude, Cursor, or any MCP-compatible client) to your Keepsake data: contacts, interactions, tasks, notes, daily journal, companies, and tags. Your AI assistant becomes a personal relationship manager. Ask it to: - "Who did I last talk to at Acme Corp?" - "Add a note that I ran into Sar

.cursor

Your AI assistant can finally manage your calendar. Live Demo · Documentation · API Reference · MCP Setup · Download You use AI assistants daily—Claude, ChatGPT, Copilot. They help you code, write, and think. But when it comes to managing your time? They're useless. Your calendar and task manager are black boxes that AI can't touch. Open Sunsama is the first task manager built for the AI era: - MC

MCP (Model Context Protocol) server plugin for 1C:EDT, enabling AI assistants (Claude, GitHub Copilot, Cursor, etc.) to interact with EDT workspace. - MCP Protocol 2025-11-25 - Streamable HTTP transport with SSE support - Project Information - List workspace projects and configuration properties - Error Reporting - Get errors, warnings, problem summaries with filters - Check Descriptio

Please migrate to our new KnowledgeBase MCP Server, which provides enhanced capabilities and improved accuracy. Model Context Protocol (MCP) is a standardized protocol designed to manage context between large language models (LLMs) and external systems. The Chargebee MCP Server offers a robust set of tools to improve developer efficiency. It integrates with AI-powered code editors like Cursor, Win

Photon turns a single TypeScript file into: - MCP server for AI agents - CLI tool for automation - Web interface for humans Photon is free and open source software released under the MIT license. Interfaces are optional. Intent is mandatory. That's a complete photon. From this single file you get: No decorators. No registration. No server boilerplate. Just define the intent. Photon handles the res

You are an expert in TypeScript, Node.

日本語版 README An MCP (Model Context Protocol) server for searching, installing, and managing AI Agent Skills. Works with MCP-compatible clients like Claude Desktop, Cursor, and VS Code. CC BY-NC-SA 4.0 — see LICENSE.

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.

✨ KDB - The Kindly Debugger ✨ Give your AI the superpower of traveling back in time to find what went wrong and fix the timeline. 🌐 Website • 🎉 Start Free • Follow the prompts to sign in with Google and auto-configure your MCP client. Add to your MCP client config (Claude Code, Cursor, etc.): That's it! 🎊 Ask your AI: "Debug my crashing program" Time-travel debugging for AI workflows. Step forw

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, you can find several MCP servers allowing you to connect to Cloudflare's service from an MCP client (e.g. Cursor, Claude) and use natural language to accomplish tasks through your Cloudflare account. These MCP servers allow your MCP Client

Generate MCP tool definitions directly from a Swagger/OpenAPI specification file. OpenAPI-MCP is a dockerized MCP server that reads a swagger.json or openapi.yaml file and generates a corresponding Model Context Protocol (MCP) toolset. This allows MCP-compatible clients like Cursor to interact with APIs described by standard OpenAPI specifications. Now you can enable your AI agent to access any AP

Transform how you access and interact with your team's knowledge by connecting Claude, Cursor AI, and other AI assistants directly to your Confluence spaces, pages, and documentation. Get instant answers from your knowledge base, search across all your spaces, and streamline your documentation workflow. - Ask AI about your documentation: "What's our API authentication process?" - Search across all

A Model Control Protocol (MCP) server that bridges AI coding assistants with JetBrains TeamCity CI/CD server, exposing TeamCity operations as MCP tools. The TeamCity MCP Server allows developers using AI-powered coding assistants (Claude Code, Cursor, Windsurf) to interact with TeamCity directly from their development environment via MCP tools. - Dev Mode (default): Safe CI/CD operations (31 tools

Use when building or debugging WordPress Interactivity API features (data-wp-* directives, @wordpress/interactivity store/state/actions, block viewScriptModule integration, wp_interactivity_*()) including performance, hydration, and directive behavior.

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence.