Ai Agents AI Agent Skills

The firewall for AI agents. Open-source policy enforcement for MCP. Website: policylayer.com Intercept is a deterministic enforcement proxy for the Model Context Protocol (MCP). It sits between an AI agent and an MCP server, evaluating every tools/call request against YAML-defined policies. Violating calls are blocked at the transport layer before reaching the upstream server. MCP gives AI agents

See a feature you like. Understand how it works, down to the binary level. Quick start · Current status · Investigation model · 70 tools · Roadmap · How it works npm install --global rea-agents && rea setup See a feature in an app that you want in your own product? Give the app to your agent—even without its source code. With REA, the agent can investigate the

Build WhatsApp automations with Kapso workflows: configure WhatsApp triggers, edit workflow graphs, manage executions, deploy functions, and use databases/integrations for state. Use when automating WhatsApp conversations and event handling.

Outlook Assistant MCP server for Outlook email, calendar, and contacts — let your AI assistant manage your inbox directly from the conversation. Outlook Assistant connects AI assistants to your Microsoft Outlook account through the Model Context Protocol. Ask your AI assistant to search your inbox, send emails, schedule meetings, manage contacts, and configure mailbox settings — without leaving th

cognee‑mcp - Run cognee’s memory engine as a Model Context Protocol server Join Discord Join r/AIMemory Build memory for Agents and query from any client that speaks MCP – in your terminal or IDE. - Multiple transports – choose Streamable HTTP --transport http (recommended for web deployments), SSE --transport sse (real‑time streaming), or stdio (classic pipe, default) - API Mode – connect to an a

Watch AG-UI + LangChain demo - SSE - Server-Sent Events for connection state and observability updates - Flexible Storage - Redis, SQLite, File System, or In-Memory backends - Serverless - Works in serverless environments (Vercel, AWS Lambda, etc.) - React Hook - useMcp hook for easy React integration - Vue Composable - useMcp composable for Vue applications - MCP Protocol - Support for tools, pro

The semantic engine for MCP clients. Define metrics once, query from anywhere. Docs · Getting Started · Changelog · Discord · Bonnard is an agent-native semantic layer CLI. Deploy an MCP server and governed analytics API in minutes -for AI agents, BI tools, and data teams. Define metrics and dimensions in YAML, validate locally, and ship to production. Works with Snowfl

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.

Wren Engine - Google Cloud Storage - Local Files - MS SQL Server - MySQL Server - Oracle Server - PostgreSQL Server - Amazon S3 - Snowflake - Databricks - Apache Spark At the enterprise level, the stakes - and the complexity - are much higher. Businesses run on structured data stored in cloud warehouses, relational databases, and secure filesystems. From BI dashboards to CRM updates and compliance

What is GitMCP • Features • Getting Started • How It Works • Examples • Contributing • Stop vibe-hallucinating and start vibe-coding! GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that transforms any GitHub project (repositories or GitHub pages) into a documentation hub. It enables AI tools like Cursor to access up-to-date documentation and code, even if the LLM has nev

A local-first CLI that orchestrates multi-agent AI workflows for software development. Give it a task — or feed it your specs, PRDs, and guidelines — and it coordinates specialized agents to architect, code, review, test, and ship automatically. No cloud dependency. Bring your own API keys. Your code stays on your machine. Each stage uses a specialized AI agent with tuned prompts and parameters. T

A comprehensive Model Context Protocol (MCP) server that provides blockchain services across 60+ EVM-compatible networks. This server enables AI agents to interact with Ethereum, Optimism, Arbitrum, Base, Polygon, and many other EVM chains with a unified interface through 22 tools and 10 AI-guided prompts. - Supported Networks - Prerequisites - Installation - Configuration - Environment Variables

You can run the MCP Server in a Docker container. This is useful if you want to avoid managing Python environments or dependencies on your local machine. See kestramcpdocker. Paste the following configuration into your MCP settings (e.g., Cursor, Claude, or VS Code): - Replace , , and with your actual credentials. - For OSS installations, you can use KESTRAUSERNAME and KESTRAPASSWORD instead of KE

Store team knowledge, project conventions, and learnings from tasks. Use to remember what works and recall context before new tasks. Connects to Hindsight Cloud. (user)

The Web MCP 🌐 Give your AI real-time web superpowers Seamlessly connect LLMs to the live web without getting blocked Quick Start • Features • 🎉 Free Tier Available! 🎉 5,000 requests/month FREE Perfect for prototyping and everyday AI workflows 🚀 Launch Week - January 2026 🚀 5 Days of Major Releases! 📦 Tool Groups 🧙 Setup Wizard ⚡ Token Efficiency 🏢 Enterprise Integrations 📊 Observability

"Code -> audit -> amend -> audit again -> pass." Blind Auditor is a mandatory code auditing system built on the MCP (Model Context Protocol). It uses a unique "Thinking Isolation" mechanism to force AI Agents to enter an independent "audit phase" and self-review their code before outputting the final result. Traditional AI coding is often "generate and output," which allows errors and biases to sl

Use this skill when an AI agent needs to join Wiplash.ai, search the Waterpark-ranked feed, publish posts including externally hosted apps, leave feedback, vote, use private Cabanas, or inspect agent profiles through the Wiplash Agent Network API.

MUST USE when reviewing ClickHouse schemas, queries, or configurations. Contains 28 rules that MUST be checked before providing recommendations. Always read relevant rule files and cite specific rules in responses.

Use when the user wants to find, evaluate, audit, or install an open-source AI agent skill or MCP server — e.g. "find an MCP server for Postgres", "is this skill safe to install", "what should I use to scrape a website". Searches a quality-scored, security-graded catalog of ~20K skills locally (cached index, zero backend load) and returns each result's security grade, quality score, and install commands so you can check trust BEFORE installing.

Decompose any text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.

A Model Context Protocol (MCP) server for validating Mermaid diagram syntax and providing comprehensive grammar checking capabilities English | 简体中文 Install the package: start the service locally set the config Published under the MIT license. Made by community 💛 🤖 auto updated with automd