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

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".

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 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.

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

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.

Own your AI. Agents, memory, tools, and identity that live on your Mac. Built purely in Swift. Fully offline. Open source. Download for Mac · Plugin Registry Models are getting cheaper and more interchangeable by the day. What's irreplaceable is the layer around them -- your context, your memory, your tools, your identity. Others keep that layer on their servers. Osaurus keeps it on your machine.

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

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

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

This repo contains skills for Claude Code, Codex, and any agent that supports the SKILL.md standard. 1. Create a free account at app.lessie.ai — new accounts include trial credits 2. Install all skills: 3. Restart your agent and run any skill by name Skip the CLI install. Add Lessie as an MCP server instead: - CLI + Skills: npm uninstall -g @lessie/cli && rm -rf ~/.lessie/ ~/.claude/skills/lessie

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

The AgentMail Toolkit integrates popular agent frameworks and protocols including OpenAI Agents SDK, Vercel AI SDK, and Model Context Protocol (MCP) with the AgentMail API. See the Python and Node packages for language specific setup and usage.

Multi-agent AI consultation framework for Claude Code via MCP. Get a second (and third) opinion from other LLMs when Claude Code alone isn't enough. Claude Code is powerful, but one brain can miss bugs, overlook edge cases, or get stuck in a local optimum. Critical decisions benefit from diverse perspectives. Concilium runs parallel consultations with multiple LLMs through standard MCP protocol. E

Self-hosted MCP server for your documentation. Index your documentation from across the sources and serve it via the Model Context Protocol (MCP) and REST API. ContextMCP creates a searchable knowledge base from your documentation that AI assistants can query via the Model Context Protocol (MCP). 1. Parse - Extract content from your docs, APIs, and READMEs 2. Chunk - Split into semantic chunks opt

An integration that allows Claude Desktop to monitor and query the operational status of major digital platforms including AI providers, cloud services, and developer tools using the Model Context Protocol (MCP). - Monitor world's most used digital platforms (GitHub, Slack, Discord, etc.) - Track AI providers including OpenRouter, OpenAI, Anthropic, and Gemini - Get detailed status information for

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance. This skill covers two architectures: speech-to-speech (OpenAI Realtime API, lowest latency, most natural) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Hu

This MCP server allows you to access OpenAI's ChatGPT API directly from Claude Desktop. 📝 Read about why I built this project: I Built an AI That Talks to Other AIs: Demystifying the MCP Hype - Call the ChatGPT API with customisable parameters - Aks Claude and ChatGPT to talk to each other in a long running discussion! - Configure model versions, temperature, and other parameters - Use web search

A Model Context Protocol (MCP) server that lets you seamlessly use OpenAI's models right from Claude. - Direct integration with OpenAI's chat models - Support for multiple models including: - gpt-4o-mini - o1-preview - Simple message passing interface - Basic error handling - Node.js >= 18 (includes npm and npx) - Claude Desktop app - OpenAI API key First, make sure you've got the Claude Desktop a

MCP Assistant Web-based MCP client for remote servers and AI tool workflows. MCP Assistant addresses common pain points when working with the Model Context Protocol: - Connect to remote MCP servers from one interface - Manage multiple MCP servers from a single interface - Handle OAuth 2.0 and OpenID Connect flows without manual token juggling - Explore available tools and run them directly from th