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OpenAI API Agent Skills

AI agent skills for OpenAI API integration. GPT models, embeddings, function calling, and assistant workflows.

102 listings

gqai

graphql → ai gqai is a lightweight proxy that exposes GraphQL operations as Model Context Protocol (MCP) tools for AI like Claude, Cursor, and ChatGPT. Define tools using regular GraphQL queries/mutations against your GraphQL backend, and gqai automatically generates an MCP server for you. 🔌 Powered by your GraphQL backend ⚙️ Driven by .graphqlrc.yml + plain .graphql files - 🧰 Define tools using

8.0fotoetienne/gqai

Autonomous Agent Patterns

Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.

8.0sickn33/antigravity-awesome-skills

ScreenMonitorMCP v2

A powerful Model Context Protocol (MCP) server that gives AI real-time vision capabilities and enhanced UI intelligence. Transform your AI assistant into a visual powerhouse that can see, analyze, and interact with your screen content. ScreenMonitorMCP v2 is a revolutionary MCP server that bridges the gap between AI and visual computing. It enables AI assistants to capture screenshots, analyze scr

7.0inkbytefo/screenmonitormcp

Consensus Local MCP Board

MCP Server

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

8.7kaicianflone/consensus-local-mcp-board

Sourcerer MCP 🧙

MCP Server

An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need. - OpenAI API Key: Required for generating embeddings (local embedding support planned) - Git: Must be a git repository (respec

8.0st3v3nmw/sourcerer-mcp

Hugging Face CLI

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.

8.0huggingface/skills

NCP - Natural Context Provider

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

6.0portel-dev/ncp

Setup MCP Server

MCP Server Plugin

Helps configure mcp-rubber-duck MCP server in AI coding tools. Triggers when users ask about adding rubber duck to Claude Desktop, Cursor, VS Code, Windsurf, Continue, or any MCP-compatible tool.

8.0nesquikm/mcp-rubber-duck

MCP Unity Editor (Game Engine)

MCP Server

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

9.0CoderGamester/mcp-unity

Azure AI Projects Py

Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.

8.0sickn33/antigravity-awesome-skills

Claude Code TTS Plugin

Plugin

A Text-to-Speech MCP server plugin for Claude Code that converts text to speech using OpenAI's TTS API. Get audio feedback from Claude as you work! - Deterministic Auto-Speak: Every Claude response is automatically spoken (via Stop hook) - 6 High-Quality Voices: alloy, echo, fable, onyx, nova, shimmer - Worker Pool Architecture: Non-blocking queue with concurrent processing - Mutex-Protected Playb

9.0ybouhjira/claude-code-tts

Replicate Skills

Discover, compare, and run AI models using Replicate's API

7.0replicate/skills

AI Wrapper Product

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.

8.0sickn33/antigravity-awesome-skills

Notion Research Documentation

Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.

8.0openai/skills

Security Ownership Map

Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters).

7.0openai/skills

MCP Server OpenAI Bridge

MCP Server

MCP Server - Bridge to OpenAI API. Part of the HumoticaOS / SymbAIon ecosystem. Add to your claudedesktopconfig.json: - Connect MCP clients to OpenAI API - Support for GPT-4, GPT-3.5, and other models - Streaming responses - Simple configuration - Jasper van de Meent (@jaspertvdm) - Root AI (Claude) - rootai@humotica.nl One Love, One fAmIly! This package is officially distributed via: - PyPI: http

5.0jaspertvdm/mcp-server-openai-bridge

Owlex

Start an OpenAI Codex CLI session for deep reasoning and code analysis

8.0agentic-mcp-tools/owlex

Building MCP Server On Cloudflare

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9.0cloudflare/skills

Macrocosmos MCP

MCP Server

Official Macrocosmos Model Context Protocol (MCP) server that enables interaction with X (Twitter) and Reddit, powered by Data Universe (SN13) on Bittensor. This server allows MCP clients like Claude Desktop , Cursor , Windsurf , OpenAI Agents and others to fetch real-time social media data. 1. Get your API key from Macrocosmos. There is a free tier with $5 of credits to start. 2. Install uv (Pyth

8.0macrocosm-os/macrocosmos-mcp

CallCenter.js MCP + CLI

MCP Server

An MCP Server, CLI tool, and API that makes phone calls on your behalf using VoIP. Just tell Claude what you want to accomplish, and it will call and handle the conversation for you. This is essentially an MCP Server that bridges between OpenAI's Real-Time Voice API and your VoIP connection to call people on your behalf. You: "Can you call Tony's Pizza and order a large pepperoni pizza for deliver

7.0gerkensm/callcenter.js-mcp

Agents SDK

Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks.

8.0cloudflare/skills

Cloudflare Wrangler

Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices.

8.0cloudflare/skills

Hugging Face Datasets

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.

9.0huggingface/skills

Jupytercad MCP

MCP Server

An MCP server for JupyterCAD that allows you to control it using LLMs/natural language. Suggestions and contributions are very welcome. The default transport mechanism is stdio. To start the server with stdio, use the following command: To use the streamable-http transport, use this command instead: An example using the OpenAI Agents SDK is available at examples/openaiagentsclient.py. To run it, f

8.0asmith26/jupytercad-mcp