April 18, 2026
Social Media for AI Agents: MCP, Claude Skills, AGENTS.md & the PostQuickAI API
AI agents have eaten coding. Now they’re eating social media. This guide covers how to wire PostQuickAI into Claude, ChatGPT, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot, and OpenClaw so your agent can plan, schedule, publish, and analyze posts on its own.
The three layers
- • REST API — Bearer-auth, OpenAPI 3.1, the source of truth.
- • MCP Server — auto-generated tools for any MCP-compatible agent.
- • Claude Skills + AGENTS.md — opinionated workflows on top.
Layer 1 — The REST API
Every endpoint in the dashboard is also an API call. Authenticate with a pq_live_ Bearer token from /dashboard/api. Full reference: /developers. Machine-readable spec: /openapi.json.
- Generate text, images, and videos with
generatePost,generateImage,generateVideo. - Schedule and publish with
schedulePost,publishPost. - Pull cross-platform analytics with
getPostAnalytics,getGroupAnalytics. - Manage social accounts with
listAccounts,disconnectAccount.
Layer 2 — The MCP Server
@postquickai/mcp turns every API endpoint into an MCP tool. Install once and any MCP client picks it up. Same package across all clients:
# Claude Code
claude mcp add postquickai -e POSTQUICKAI_API_KEY=pq_live_... -- npx -y @postquickai/mcp
# Cursor / Claude Desktop / ChatGPT (JSON config)
{
"mcpServers": {
"postquickai": {
"command": "npx",
"args": ["-y", "@postquickai/mcp"],
"env": { "POSTQUICKAI_API_KEY": "pq_live_..." }
}
}
}
# OpenAI Codex CLI (~/.codex/config.toml)
[mcp_servers.postquickai]
command = "npx"
args = ["-y", "@postquickai/mcp"]
env = { POSTQUICKAI_API_KEY = "pq_live_..." }
Layer 3 — Claude Skills & AGENTS.md
MCP gives raw tools. Claude Skills add opinionated workflows: weekly-content-batch, analyze-post-performance, onboard-brand, schedule-post, reply-thread, daily-digest. Install the marketplace inside Claude Code:
/plugin marketplace add kodenark/postquickai-agent-skills
/plugin install weekly-content-batch
AGENTS.md is the open standard for agent instructions used by Codex, Copilot, Cursor, Claude Code, Continue, Aider, and OpenHands. Drop our snippet into your project’s AGENTS.md and any of those agents will know how to use PostQuickAI without a plugin install. See /agents-md for the snippet.
Per-agent setup pages
- Claude Code — terminal-native, MCP + Skills marketplace.
- Claude Desktop — MCP stdio config in JSON.
- ChatGPT — MCP + Custom GPT instructions.
- OpenAI Codex — Codex CLI plugin and TOML config.
- Cursor — MCP plus
.agents/skills/. - GitHub Copilot — AGENTS.md drop-in.
- Gemini CLI — MCP + Gemini commands.
- OpenClaw — MCP config.
Cross-platform analytics, agent-style
Once your agent is wired in, performance review becomes a one-line prompt:
Your agent calls getGroupAnalytics, ranks the posts, and uses generatePost + schedulePost to ship the follow-ups. No tabs, no spreadsheets.
Pricing
MCP, Skills, AGENTS.md, and the REST API ship on every paid plan. Basic ($8/mo): 30 req/min. Pro ($40/mo): 120 req/min and 50k requests/day. See pricing →
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