Claude AI Agent Skills

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A Model Context Protocol server that provides access to your iTerm session. Efficient Token Use: iterm-mcp gives the model the ability to inspect only the output that the model is interested in. The model typically only wants to see the last few lines of output even for long running commands. Natural Integration: You share iTerm with the model. You can ask questions about what's on the screen, or

MCP (Model Context Protocol) server for the Voxie AI Phone Number Directory. Allows AI assistants to query information about AI services and get webchat URLs to interact with them. Add to your Claude Desktop config (claudedesktopconfig.json): By default, the server runs in public mode which only exposes webchat URLs for Voxie services. This is the mode used when publishing to npm. For partners or

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Obsidian vault. Access your notes, create content, manage tags, and search your knowledge base through natural conversation. - CRUD Operations: Create, read, update, and delete notes (with safety confirmation) - Write Modes: Overwrite, append, or prepend content - Batch Reading: Read multiple notes i

claude-faf-mcp IANA-Registered Format for AI Context · application/vnd.faf+yaml AI assistants forget. They misunderstand. They drift. Every new session, every new file, every new developer — AI starts guessing again. Your codebase context leaks away. Yesterday's perfect assistant becomes today's confused intern. .FAF fixes this permanently. Gold Code = AI Optimized. Your project DNA lives in proje

A Model Context Protocol (MCP) server that provides Oracle Cloud Infrastructure pricing data to AI assistants like Claude. AWS, Azure, and GCP all have pricing MCP servers. OCI did not - until now. You ask Claude: Claude responds (using this MCP): You ask Claude: Claude responds (using this MCP): Available presets: - small-web-app - 1 OCPU, 8GB, 100GB storage, LB - medium-api-server - 4 OCPU, 32GB

English | 中文 Zero-dependency MCP memory server for AI agents — persistent, searchable, local-first, single binary. - No infra to babysit. Single Go binary. No Docker, no Node.js runtime, no cloud account, no API keys. brew install in 30 seconds. - Memory stays with the project. Stored in .aimemo/ next to your code — commit it to git or add it to .gitignore. Switch branches; memory follows the dire

Transform ideas into executable development plans — an MCP server that brings the ClaudeCode-DevPlanBuilder methodology to Claude Code. Or add to ~/.claude.json under the mcpServers key: If you already have DevPlan installed, remove from both scopes and re-add: That's it. DevPlan will guide Claude through the entire process. DevPlan uses a scaffold → enhance → validate workflow that ensures every

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

� Migrate to MCP Platform • 💬 Discord Community • � Legacy Docs Zero-configuration deployment of production-ready MCP servers with Docker containers, comprehensive CLI tools, and intelligent caching. Focus on AI integration, not infrastructure setup. That's it! Your MCP server is running at http://localhost:8080 Perfect for: AI developers, data scientists, DevOps teams building with MCP. Deploy M

A Model Context Protocol (MCP) server for Microsoft Bing Search API integration, allowing AI assistants to perform web, news, and image searches. - Web search for general information - News search for recent events and timely information - Image search for visual content - Rate limiting to prevent API abuse - Comprehensive error handling - Python 3.10 or higher - Microsoft Bing Search API key - MC

A Python bridge for interacting with the macOS Messages app using MCP (Multiple Context Protocol). Click the button above to automatically add Mac Messages MCP to Cursor See the Integration section below for setup instructions. - Universal Message Sending: Automatically sends via iMessage or SMS/RCS based on recipient availability - Smart Fallback: Seamless fallback to SMS when iMessage is unavail

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

Manage YouTube activities using the yutu CLI. Use this skill when you need to list channel activities such as uploads, likes, and favorites.

An integration that allows Claude Desktop to interact with Hacker News using the Model Context Protocol (MCP). - Browse latest stories from Hacker News - View top and best-rated stories - Get story details - Read comments for stories - Clean formatting of Hacker News content for better readability - Node.js 16 or higher - Claude Desktop - Internet connection to access Hacker News API 1. Clone or d

A Model Context Protocol (MCP) server that enables LLMs to interact with iOS simulators through natural language commands. This MCP server provides a bridge between Large Language Models (LLMs) and iOS simulators, offering comprehensive control through natural language commands. Here's what it can do: For detailed usage, see the Installation guide and Supported Commands sections. You can use this

Cognitive browser automation with 91 MCP tools. AI-friendliness audits, persona testing, empathy audits, WebMCP readiness. USE WHEN browser automation, screenshot, agent-ready audit, ai-benchmark, empathy audit, webmcp-ready, hunt bugs, cognitive journey, persona comparison, visual regression, cross-browser test.

Open-source memory backend for multi-agent systems. Agents store decisions, share causal knowledge graphs, and retrieve context in 5ms — without cloud lock-in or API costs. Works with LangGraph · CrewAI · AutoGen · any HTTP client · Claude Desktop Key capabilities for agent pipelines: - Framework-agnostic REST API — 15 endpoints, no MCP client library needed - Knowledge graph — agents share causal

Give Claude access to all 200+ AWS services through the AWS CLI. This MCP server lets Claude run AWS CLI commands on your behalf. Instead of wrapping each AWS API individually, it wraps the CLI itself—giving Claude complete AWS access through just two tools: Claude learns commands on-demand using --help, then executes them. Your IAM policy controls what it can actually do. - Streamable HTTP transp

UpTier is a desktop to-do application that combines a clean Microsoft To Do-style interface with the power of Claude AI for intelligent task prioritization. Through the Model Context Protocol (MCP), Claude can analyze your tasks and help you focus on what matters most. Download UpTier for Windows Pre-built installer available. No build required. - Lists & Tasks - Create custom lists, tasks with su

Anthropic's official coding-agent CLI. Runs Claude in your terminal with tool use, file operations, and shell access. The reference harness that skills, sub-agents, hooks, and slash commands are built for.

Analyze AWS infrastructure security using Cyntrisec MCP tools. Use when asked about AWS attack paths, security findings, IAM permissions, compliance status, or remediation recommendations. Guides tool selection and workflow patterns for comprehensive security assessments.

- MCP Server: code-to-tree - Using code-to-tree - Configure MCP Clients - Building (Windows) - Building (macOS) The code-to-tree server's goals are: 1. Give LLMs the capability of accurately converting source code into AST(Abstract Syntax Tree), regardless of language. 2. One standalone binary should be everything the MCP client needs. These goals imply: 1. The underlying syntax parser should be v

This skill should be used when the user asks to "generate documentation", "document this project", "create docs", "write documentation", "update documentation", "document all APIs", "generate onboarding docs", "create developer docs", or needs comprehensive codebase documentation. Orchestrates parallel AI agents to analyze code and produce documentation files.