Ai Agents AI Agent Skills

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 Apify Store. It supports OAuth, allowing you to connect from clients like Claude.ai or Visual Studio Code using just the URL.

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

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

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

:deciduoustree: MCPJungle :deciduoustree: Self-hosted MCP Gateway for your private AI agents MCPJungle is an open source, self-hosted Gateway for all your Model Context Protocol Servers. 🧑‍💻 Developers use it to register & manage MCP servers and the tools they provide from a central place. 🤖 MCP Clients use it to discover and consume all these tools from a single "Gateway" MCP Server. MCPJungle

Your MCPs, supercharged. Find any tool instantly, execute with code mode, run on schedule, discover skills, load Photons, ready for any client. Smart loading saves tokens and energy. Instead of your AI juggling 50+ tools scattered across different MCPs, NCP gives it a single, unified interface with code mode execution, scheduling, skills discovery, and custom Photons. Your AI sees just 2-3 simple

searchcraft-mcp-server An MCP Server powered by Searchcraft – the developer-first vertical search engine. The Searchcraft MCP Server provides a suite of tools for managing your Searchcraft cluster's Documents, Indexes, Federations, Access Keys, and Analytics. It enables MCP Clients, like Claude Desktop, to be prompted in plain English to perform administrative actions like setting up search indexe

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.

Stateful agent-to-agent communication client for the agent:// protocol. AGENIUM provides identity, discovery, and messaging for AI agents. Think of it as DNS + HTTP for agents — each agent gets a unique agent://name URI and can discover and communicate with other agents. Choose from 3 templates: echo (hello world), tools (tool-calling), api (REST gateway). - agent:// Protocol — Unique agent identi

Find emails needing follow-up -- unanswered sent emails, flagged unreplied, draft contextual responses

Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models (LLMs). The vocabulary API is supported by OMOP HUB, and you can obtain an API key from omophub.com. This server provides an agentic framework to standardize medical terms into the OMOP Common Data Model (CDM). It uses the OMOPHub API for vo

OMOPHub MCP Server Medical vocabularies for AI agents. Search, map, and navigate 10M+ OMOP concepts: SNOMED CT, ICD-10, RxNorm, LOINC, and more. Directly from Claude, Cursor, VS Code, or any MCP-compatible client. Quick Start · Examples · Working with medical vocabularies today means downloading multi-gigabyte CSV files, loading them into a local database, and writing SQL to find what you need. Ev

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

Recursive Decomposition Skill Handle long-context tasks with Claude Code through recursive decomposition What It Does • Installation • How It Works • Benchmarks • Acknowledgments When analyzing large codebases, processing many documents, or aggregating information across dozens of files, Claude's context window becomes a bottleneck. As context grows, "context rot" degrades performance: - Missed de

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

An MCP (Model Context Protocol) server that enables AI platforms to interact with YepCode's infrastructure. Run LLM generated scripts and turn your YepCode processes into powerful tools that AI assistants can use directly. - Seamless AI Integration: Convert YepCode processes into AI-ready tools with zero configuration - Real-time Process Control: Enable direct interaction between AI systems and yo

A Model Context Protocol (MCP) server that provides comprehensive access to SendGrid's API v3 for email marketing, transactional email operations, dynamic template management, and detailed analytics. Features 59 tools covering all aspects of email management and performance analysis. Then configure with your preferred MCP client (see configuration examples below). ✅ Claude Desktop - Official deskt

Claude Code forgets everything between sessions. CogmemAi fixes that. One command. Claude Code remembers your architecture, patterns, decisions, bugs, and preferences — permanently. That's it. The setup wizard verifies your API key, configures Claude Code, and you're ready. Start Claude Code by typing claude and your memories are ready. Don't have an API key yet? Get one free at hifriendbot.com/de

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

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

Stop pasting API keys into AI chat. When you paste sk-proj-xxx into Claude Code, that secret is now in your conversation history, Anthropic's logs, and potentially exposed to prompt injection attacks. secretctl fixes this. Your AI gets command results, never secret values. Every day, developers paste secrets into AI coding assistants: This is a security incident waiting to happen. - Secrets in con

Contact us for a Demo Community Slack MindsDB enables humans, AI, agents, and applications to get highly accurate answers across large scale data sources. MindsDB is an open-source server that can be deployed anywhere - from your laptop to the cloud, and everywhere in between. And yes, you can customize it to your heart's content. Using Docker Desktop. This is the fastest and recommended way to ge

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

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: