Ai Agents AI Agent Skills

Give Claude Code a browser that thinks. An MCP server that connects Claude Code to Perplexity Comet - enabling agentic web browsing, deep research, and real-time task monitoring. Existing web tools for Claude Code fall into two categories, both with limitations: Return static text. No interaction, no login, no dynamic content. Great for quick lookups, but can't navigate complex sites or fill forms

An AI coding assistant built in Rust that provides both command-line and graphical interfaces for autonomous code analysis and modification. Multi-Modal Tool Execution: Adapts to different LLM capabilities with pluggable tool invocation modes - native function calling, XML-style tags, and triple-caret blocks - ensuring compatibility across various AI providers. Real-Time Streaming Interface: Advan

KISS overzealous agents goodbye. Plug & play agent oversight tool. Based on research: In our study agents calling Vibe Check improved success +27% and halved harmful actions -41% Featured on PulseMCP “Most Popular (This Week)” • 5k+ monthly calls on Smithery.ai • research-backed oversight • STDIO + streamable HTTP transport Plug-and-play mentor layer that stops agents from over-engineering and kee

- 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

🚀 Try ApeRAG Live Demo - Experience the full platform capabilities with our hosted demo ApeRAG is a production-ready RAG (Retrieval-Augmented Generation) platform that combines Graph RAG, vector search, and full-text search with advanced AI agents. Build sophisticated AI applications with hybrid retrieval, multimodal document processing, intelligent agents, and enterprise-grade management feature

Access comprehensive NBA statistics via Model Context Protocol A Model Context Protocol (MCP) server that provides access to live and historical NBA data including player stats, game scores, team information, and advanced analytics. 1. Install the server: 2. Add to your Claude Desktop config file: MacOS: ~/Library/Application Support/Claude/claudedesktopconfig.json Windows: %APPDATA%/Claude/claude

Rédaction d'assignations en référé devant le tribunal de commerce ou des activités économiques pour le droit de communication d'un associé. Utiliser ce skill quand l'utilisateur demande de rédiger, préparer ou créer une assignation en référé fondée sur l'article L. 238-1 du code de commerce pour obtenir la communication forcée de documents sociaux (comptes annuels, rapports de gestion, PV d'assemblées, etc.

MCPServers.org | ModelScope | （更多MCP平台陆续上架中……） CRIC物业AI 是 克而瑞 专为物业行业打造的智能 AI 助理，于2025年4月25日 正式发布。 CRIC物业AI 通过行业知识库建设，结合多模态大模型 + RAG 技术，集成五大核心能力模块：行业研究、法律法规、社区治理、项目经营、文案写作，并在行业垂类知识基础上，拓展了 资讯舆情 和 人才培训 两大智能体。 克而瑞通过三个能力来构建其自身在物业AI合作领域优势： - 数据资产转化能力： 将10亿字行业语料、TB级多模态数据转化为物业行业的高质量数据集，并构建了一套行业数据质量评估体系，保障准确率和可信度； - 场景穿透能力： 聚焦20+物业行业垂直业务场景，定向选用对应领域知识库，精准匹配； - 生态进化能力： 通过每日实时监测超过500+可信资讯和数据来源，处理10万+实时数据的自更新系

Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.

An MCP Server to utilize Codelogic's rich software dependency data in your AI programming assistant. The server implements five tools: - codelogic-method-impact: Pulls an impact assessment from the CodeLogic server's APIs for your code. - Takes the given "method" that you're working on and its associated "class". - codelogic-database-impact: Analyzes impacts between code and database entities. - T

This project provides Model Context Protocol (MCP) for the Mifos X Ecosystem, enabling AI agents to access financial data and operations. Implementations is available in Java (Quarkus). Use the MCP Inspector to test and debug your server: This starts a local web UI to connect to your MCP server via STDIO or SSE. Prerequisites: JDK 21+, Maven 1. Configure environment variables in your shell or IDE:

Local-first MCP runtime for multi-agent consensus guard workflows — AI code review, weighted voting, HITL approval gates, and full observability on SQLite. MCP stdio mode (Claude Desktop, OpenClaw, etc.): Prerequisites: Node.js 20+, npm 10+. Optional: gh CLI (for GitHub PR triggers), OpenAI API key (falls back to deterministic heuristics without one). Any model accessible via the OpenAI or Anthrop

13 production-ready tools for AI agents — one API key, zero complexity. Docs · Playground · OpenAPI Spec · npm Building AI agents that interact with the real world? You'd normally need: No credit card. No setup. 13 endpoints ready to use. Use Agent Toolbox as an MCP server in Claude Desktop, Cursor, or Windsurf: Add to Claude Desktop config: See MCP Quickstart Guide for full setup instructions. Al

A Model Context Protocol (MCP) server that provides access to all the curated awesome lists and their items. It can provide the best resources for your agent from sections of the 8500+ awesome lists on github and more then 1mn+ (growing) awesome row items. What are Awesome Lists? Awesome lists are community-curated collections of the best tools, libraries, and resources on any topic - from machine

The memory system for AI coding agents. Decisions, lessons, and context that persist across sessions. mcp-name: io.github.omega-memory/omega-memory AI coding agents are stateless. Every new session starts from zero. - Context loss. Agents forget every decision, preference, and architectural choice between sessions. Developers spend 10-30 minutes per session re-explaining context that was already e

Documentation Try with Claude Try with Goose A Model Context Protocol (MCP) server that enables AI models to interact with Bitcoin and Lightning Network, allowing them to generate keys, validate addresses, decode transactions, query the blockchain, and more. - ₿itcoin \& Lightning Network MCP Server - 💼 Table of Contents - 🔧 Features - 🔑 Claude Desktop Integration - Testing the Claude Desktop I

Model Context Protocol (MCP) server for Hashgraph Online’s Registry Broker. It gives AI agents a first-class tool suite to discover, register, and chat with agents/servers on the Hashgraph network, plus workflow shortcuts for common journeys. - Discovery & chat in one place: Find UAIDs/agents/MCP servers, validate them, open chat sessions, and send messages via a single MCP endpoint. - Registratio

mcp.apify.com The Apify Model Context Protocol (MCP) server at mcp.apify.com enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, and any other website using thousands of ready-made scrapers, crawlers, and automation tools from the Apify Store. It supports OAuth, allowing you to connect from clients like Claude.ai or Visual Studio Code using just the UR

A multi-model AI orchestration MCP server for automated code review and LLM-powered analysis. Multi-MCP integrates with Claude Code CLI to orchestrate multiple AI models (OpenAI GPT, Anthropic Claude, Google Gemini) for code quality checks, security analysis (OWASP Top 10), and multi-agent consensus. Built on the Model Context Protocol (MCP), this tool enables Python developers and DevOps teams to

&nbsp;&nbsp; Give AI assistants (Claude, Cursor, VS Code, etc.) the ability to control your desktop and automate tasks across any application. Claude Code (one-liner): Other clients (Cursor, VS Code, Windsurf, etc.): Add to your MCP config file: See the MCP Agent README for detailed setup instructions. - Uses your browser session - no need to relogin, keeps all your cookies and auth - Doesn't take

Part of the quantum-loop autonomous development pipeline (brainstorm \u2192 spec \u2192 plan \u2192 execute \u2192 review \u2192 verify). Deep Socratic exploration of a feature idea before implementation. Asks questions one at a time, proposes 2-3 alternative approaches with trade-offs, presents design section-by-section for approval, and saves an approved design document. Use when starting a new feature, exploring an idea, or before writing a spec.

ntfy-me-mcp provides AI assistants with the ability to send real-time notifications to your devices through the ntfy service (either public or selfhosted with token support). Get notified when your AI completes tasks, encounters errors, or reaches important milestones - all without constant monitoring. The server includes intelligent features like automatic URL detection for creating view actions

A chat server for AI agents. Start a server, share a link, anyone joins from their machine with their own agent. Claude Code, Codex, humans — everyone ends up in the same chat room. Messages get pushed into each agent's session in real time as they happen. Works over the internet with zero config. You need tmux (brew install tmux) and either Claude Code or Codex. Terminal 1 — start a room: The ser

Multi-agent orchestration platform for enterprise AI development. Run 12+ AI agents concurrently with full governance, Gemini-powered code review, and enforced quality gates. Solves coordination, verification, and metrics challenges that stall enterprise AI adoption.