Mcp AI Agent Skills

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

English Documentation 这是一个支持远程连接的模型上下文协议 (MCP) 服务器，内置了飞书 OAuth 认证。 本项目修改自 cloudflare/ai/demos/remote-mcp-github-oauth，将 GitHub OAuth 替换为飞书 OAuth。 您可以将其部署到自己的 Cloudflare 账户，并在创建自己的飞书 OAuth 客户端应用后，拥有一个功能完整的远程 MCP 服务器。用户可以通过飞书账号登录连接到您的 MCP 服务器。 - 与飞书官方 MCP Server 的区别 - 使用 Inspector 测试 - 使用 Cursor - 使用 ChatWise 虽然飞书官方也推出了 MCP Server，但本项目在以下几个方面具有显著优势： - 本项目：用户无需手动配置任何参数，全程使用 useraccesstoken，过期自动刷新 - 官

An MCP server that gives AI assistants safe, read-only access to SQL Server databases. Every query is parsed into a full AST using Microsoft's official T-SQL parser — not regex — so comment injection, string literal tricks, and encoding bypasses are blocked at the syntax level. Prerequisite: .NET 10.0 runtime 2. Configure — create ~/.config/sqlaugur/appsettings.json (Linux/macOS) or %APPDATA%\sqla

� 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

mcp-name: io.github.king-of-the-grackles/reddit-research-mcp AI-Powered Reddit Intelligence for Market Research & Competitive Analysis Version: 1.0.0 Turn Reddit's chaos into actionable insights. Dialog is your all-in-one Reddit intelligence platform for competitive analysis, market research, and customer discovery across 20,000+ active subreddits. This is the official MCP server powering Dialog -

MCP Server for Driflyte. The Driflyte MCP Server exposes tools that allow AI assistants to query and retrieve topic-specific knowledge from recursively crawled and indexed web pages. With this MCP server, Driflyte acts as a bridge between diverse, topic-aware content sources (web, GitHub, and more) and AI-powered reasoning, enabling richer, more accurate answers. - Deep Web Crawling: Recursively f

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

A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools. Requires Python 3.13 or higher. Install the package using uv: 1 - Edit Claude Desktop Configuration: Open claudedesktopconfig.json and add the following configuration. On MacOs, the file

MCP Unity is an implementation of the Model Context Protocol for Unity Editor, allowing AI assistants to interact with your Unity projects. This package provides a bridge between Unity and a Node.js server that implements the MCP protocol, enabling AI agents like Cursor, Windsurf, Claude Code, Codex CLI, GitHub Copilot, and Google Antigravity to execute operations within the Unity Editor. MCP Unit

A local MCP server to communicate local Pharo Smalltalk image. It supports: - Code Evaluation: Execute Smalltalk expressions and return results - Code Introspection: Retrieve source code, comments, and metadata for classes and methods - Search & Discovery: Find classes, traits, methods, references, and implementors - Package Management: Export and import packages in Tonel format - Project Installa

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

Open source feedback for teams that ship. The open-source alternative to Canny, UserVoice, and Productboard. Collect feedback. Prioritize what matters. Close the loop. Website · Docs · Get Started Cloud coming soon at quackback.io. Join the waitlist. Self-hosted anywhere with Docker or one click on Railway. Most feedback tools are expensive, closed-source, and lock you in. Quackback

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

Using nicegui as a PlantUML frontend, you can deploy PlantUML on an intranet. It's a nicegui demo project with an added MCP (Model Context Protocol) server that exposes PlantUML functionality to AI assistants. Plantuml jar version: plantuml-1.2025.3.jar - Interactive PlantUML editor with live preview - Save and load diagrams - Responsive UI with resizable panels - Generate PlantUML diagrams in SVG

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

Finally, MCP servers & commands that just work on Windows. Every MCP server README assumes macOS or Linux. You copy the config, paste it in, and nothing happens — because npx, uvx, and friends are .cmd batch shims on Windows, not real executables. mcp2win fixes this by wrapping commands with cmd.exe /c so your MCP servers actually start. Works with Claude Code/Desktop, VS Code, Cursor, Zed, Amazon

An MCP server implementation that provides job search functionality. Get available jobs with filtering options sinceWhen (string): Since when to get available jobs. e.g., '1d' or '1w' (only days and weeks are supported) keywords (string[], optional): Keywords to filter jobs by excludeKeywords (string[], optional): Keywords to exclude from the jobs isRemote (boolean, optional): Whether to filter jo

AI-powered debugging and inspection for Kubernetes clusters using Inspektor Gadget. - AI-powered interface for Kubernetes troubleshooting and monitoring - One-click Inspektor Gadget deployment and removal - Intelligent output summarization and analysis - Automatic gadget discovery from Artifact Hub 1. Ensure you have Docker and a valid kubeconfig file 2. Configure the MCP server in VS Code (see IN

Firebase MCP enables AI assistants to work directly with Firebase services, including: - Firestore: Document database operations - Storage: File management with robust upload capabilities - Authentication: User management and verification The server works with MCP client applicatios such as Claude Desktop, Augment Code, VS Code, and Cursor. - Firebase project with service account credentials - Nod

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

A Model Context Protocol (MCP) server for interacting with the Solscan Pro API for Solana blockchain data. This server provides tools to query token information, account activities, and transaction details on the Solana blockchain via Large Language Models. Simple prompts: You can also use it for much more complex queries, like analyzing criminal activity combining multiple MCPs and correct contex

This is a Model Context Protocol (MCP) server designed specifically for AI agents and LLM applications. It acts as a bridge between artificial intelligence systems and the comprehensive OpenStreetMap tagging knowledge base provided by the official @openstreetmap/id-tagging-schema library. Current Status: Production-ready MCP server, actively maintained and continuously improved. The service is dep

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