Gemini AI Agent Skills

ScrapeBadger MCP Server Give your AI agents access to Twitter/X data via the Model Context Protocol ScrapeBadger MCP Server is a Model Context Protocol (MCP) server that enables AI assistants like Claude, ChatGPT, Cursor, Windsurf, and other MCP-compatible clients to access Twitter/X data through the ScrapeBadger API. With this MCP server, your AI can: - Get Twitter user profiles, followers, and f

Fast, opinionated TUI for AI-assisted coding. McGravity orchestrates AI coding tools (Claude Code, Codex, Gemini) in a tight feedback loop: plan small tasks → execute one at a time → review → replan. Instead of dumping a huge prompt and hoping for the best, McGravity breaks your work into atomic pieces that are easier to verify and course-correct. McGravity runs a continuous improvement loop: McGr

This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks.

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.

Build and publish websites through AI conversation. Create pages, upload assets, manage data, and deploy to custom domains — all from your favorite AI assistant. Just connect and start talking. 1. Open Le Chat → Intelligence → Connectors → + Add Connector 2. Choose Custom MCP Connector 3. Enter URL: https://mcp.websitepublisher.ai/ 4. Click Connect → Login → Done ✅ Add to your claudedesktopconfig.

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

English Version 基于 Google 的 Imagen 3.0 的图像生成工具，通过 MCP（Model Control Protocol）提供服务。 画一只奔跑的杰克罗素犬，长焦镜头，阳光透过狗狗的毛发，照片级画质 画一个科技感十足的苹果 - 有效的 Google Gemini API 密钥 1. 从 GitHub Releases 下载最新版本的可执行文件 2. 将下载的可执行文件放置在系统中的任意位置，例如 C:\bin\imagen3-mcp.exe 3. 在 Cherry Studio 中配置： - Command 字段填写可执行文件路径，例如 C:\bin\imagen3-mcp.exe - 环境变量 GEMINIAPIKEY 中填写你的 Gemini API 密钥 - [可选] 环境变量 BASEURL 中填写代理地址，例如 https://lingxi-pro

An MCP (Model Context Protocol) server that exposes a collection of system prompts, summaries, and tool definitions from popular AI tools as MCP tools for AI coding environments like Cursor and Claude Desktop. - 🔍 Automatic Discovery – Every prompt in prompts/ is automatically exposed as an MCP tool - 🎯 Model-Aware Suggestions – Get prompt recommendations based on your LLM (Claude, GPT, Gemini,

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

Google's coding-agent CLI running Gemini models. Terminal-based, supports MCP servers, and integrates with the Google Cloud agent stack.

An MCP (Model Context Protocol) server that provides unified access to multiple Large Language Model APIs for AI coding environments like Cursor and Claude Desktop. - 🌐 8 LLM Providers – ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, Mistral - 🎯 Smart Model Selection – Tag-based preferences (coding, business, reasoning, math, creative, general) - 📊 Prompt Logging – Track all prompts

MCP (Model Context Protocol) server for Nanana AI image generation service powered by Google Gemini's nano banana model. This server allows Claude Desktop and other MCP clients to generate and transform images using nano banana's powerful image generation capabilities. 1. Visit nanana.app and sign in 2. Go to your account dashboard 3. Generate an API token in the "API Access" section 4. Copy and s

Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.

A professional Model Context Protocol (MCP) server that provides a comprehensive toolkit for interacting with Instagram. This server enables LLMs (like Claude or Gemini) to manage accounts, analyze social graphs, discover content, and engage with the Instagram community directly from their interface. - Full Account Control: Edit profile, manage privacy, and track activity. - Advanced Messaging: Re

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

Built by Matious — We build custom AI tools and MCP servers for businesses. Managing Google Ad Manager is tedious. Creating campaigns, uploading creatives, and configuring line items involves countless clicks through a complex UI. This MCP server changes that. Connect it to Claude and manage your entire ad operations through conversation: - "Create a new campaign for Nike ending December 31st" - "

A Model Context Protocol (MCP) server for GitLab and Jira integration. This server allows AI agents like gemini-cli to interact with your GitLab and Jira instances. - Projects: List all accessible projects or filter them by name. - Merge Requests: List merge requests for a project, get detailed information (including diffs), add comments, and assign reviewers. - Pipeline/CI/CD: Get pipeline status

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

mcp-ragchat An MCP server that adds RAG-powered AI chat to any website. One command from Claude Code. Tell Claude Code "add AI chat to mysite.com" and it will crawl your content, build a local vector store, spin up a chat server, and hand you an embed snippet. No cloud infra. No database. Just one API key. 1. Clone and build 2. Configure Claude Code (~/.claude/mcp.json) Open Claude Code and say: C

mcp-trinv-server (ou MCPTRINV) est un serveur de type MCP (Model Context Protocol) qui est utilisé pour augmenter les ressources d'assistant d'Intelligence Artificielle comme Claude ou Gemini. MCPTRINV permet de rechercher des communes à partir d'un fragment de leur nom puis de rechercher des parcelles cadastrales dans une commune ayant une surface donnée. Il s'appuie sur le site TRINV. - trinv-ch

A Model Control Protocol (MCP) server for managing and serving dynamic prompt templates using elegant and powerful text template engine. Create reusable, logic-driven prompts with variables, partials, and conditionals that can be served to any compatible MCP client like Claude Code, Claude Desktop, Gemini CLI, VSCode with Copilot, etc. - MCP Compatible: Works out-of-the-box with any MCP client tha

Drive four external coding CLIs — Google's Antigravity (Gemini 3.6 Flash), OpenAI Codex, the GitHub Copilot CLI, and Cursor — as sub-agents inside Claude Code. Text answers, image generation, real repo work, and parallel swarms, on quota you already pay for. One MCP server, four backends. It exposes Google Antigravity, OpenAI Codex, the GitHub Copilot CLI, and Cursor to Claude Code as clean MCP to

+W is a universal "save for later" action for commerce. This MCP server lets AI assistants save any product URL to a user's Wishfinity wishlist with one click. Works with Claude, ChatGPT, Gemini, LangChain, OpenAI Agents SDK, and any MCP-compatible client. When an AI recommends a product, it can offer +W Add to Wishlist. The user clicks the link, and the product is saved to their Wishfinity accoun