OpenAI API Agent Skills

Your agent has zero users. This fixes that. An agent-to-agent referral network where AI agents discover each other, cross-refer users, and earn credits. Available as an MCP server and HTTP API. Built by an AI agent that couldn't find its own customers. Published as io.github.oxgeneral/agentnet v1.0.0 You built an agent. It works. Nobody uses it. - 3M+ GPTs on OpenAI — most have zero users - 17,000

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

Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".

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

Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks.

Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.

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.

Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL.

Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection.

Use when the user asks to generate or edit images via the OpenAI Image API (for example: generate image, edit/inpaint/mask, background removal or replacement, transparent background, product shots, concept art, covers, or batch variants); run the bundled CLI (`scripts/image_gen.py`) and require `OPENAI_API_KEY` for live calls.

Want to use GPT-5, Gemini, or DeepSeek in Claude Code? Today you need to: 1. Create accounts with 5+ AI providers 2. Manage 5+ API keys and billing systems 3. Pay $20-100/month minimums per provider 4. Configure each provider separately That's too much friction. BlockRun MCP gives you access to 30+ AI models with: - Zero API keys - No accounts needed with OpenAI, Google, etc. - One wallet - Single

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.

Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys.

Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.

Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.

Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.

Use when the user asks to generate, remix, poll, list, download, or delete Sora videos via OpenAI\u2019s video API using the bundled CLI (`scripts/sora.py`), including requests like \u201cgenerate AI video,\u201d \u201cSora,\u201d \u201cvideo remix,\u201d \u201cdownload video/thumbnail/spritesheet,\u201d and batch video generation; requires `OPENAI_API_KEY` and Sora API access.

Query OpenAI models directly from Claude using MCP protocol. Add to claudedesktopconfig.json: MIT License

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

- A minimal server/client application implementation utilizing the Model Context Protocol (MCP) and Azure OpenAI. 1. The MCP server is built with FastMCP. 2. Playwright is an an open source, end to end testing framework by Microsoft for testing your modern web applications. 3. The MCP response about tools will be converted to the OpenAI function calling format. 4. The bridge that converts the MCP

An advanced MCP server that provides intelligent web search capabilities using OpenAI's reasoning models. Perfect for AI assistants that need up-to-date information with smart reasoning capabilities. - 🧠 Reasoning Model Support: Full compatibility with OpenAI's latest reasoning models (gpt-5, gpt-5-mini, gpt-5-nano, o3, o4-mini) - ⚡ Smart Effort Control: Intelligent reasoningeffort defaults based

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.

Token usage tracker for OpenAI, Claude, and Gemini APIs with MCP (Model Context Protocol) support. Pass accurate API costs to your users. - 🎯 Simple Integration - One line to wrap your API client - 📊 Automatic Tracking - No manual token counting - 💰 Accurate Pricing - Up-to-date pricing for all models (2025) - 🔄 Multiple Providers - OpenAI, Claude, and Gemini support - 📈 User Management - Tra

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