Server data from the Official MCP Registry
Schedule and publish social posts to 11 platforms with media, campaigns, analytics and AI captions
Schedule and publish social posts to 11 platforms with media, campaigns, analytics and AI captions
Remote endpoints: streamable-http: https://mcp.posteverywhere.ai/mcp
This is a well-structured MCP server for PostEverywhere's social media API. Authentication is properly required via environment variables (POSTEVERYWHERE_API_KEY), permissions align well with the declared purpose (network HTTP calls to PostEverywhere API), and the codebase demonstrates good security practices. Minor observations include verbose error handling and some low-severity input validation gaps, but these do not materially impact security. No malicious patterns, credential leaks, or dangerous operations detected. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
3 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: POSTEVERYWHERE_API_KEY
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
Official Model Context Protocol server for PostEverywhere — let Claude Code, Claude Desktop, ChatGPT (via the hosted connector), Cursor, OpenAI Codex, and other MCP-compatible AI clients schedule and publish social media posts to Instagram, TikTok, YouTube, LinkedIn, Facebook, X (Twitter), Threads, and Pinterest using natural language.
💡 Building a programmatic integration? Use the companion
@posteverywhere/sdkNode.js SDK instead — full TypeScript types, retry handling, error classes.
| Resource | URL |
|---|---|
| 🌐 Homepage | posteverywhere.ai |
| 🛠️ Developers landing page | posteverywhere.ai/developers |
| 📖 API Documentation | developers.posteverywhere.ai |
| 📦 This MCP on npm | npmjs.com/package/@posteverywhere/mcp |
| 💻 This MCP on GitHub | github.com/posteverywhere/mcp |
| 📦 Node SDK (npm) | npmjs.com/package/@posteverywhere/sdk |
| 💻 Node SDK (GitHub) | github.com/posteverywhere/sdk |
| 🎛️ Dashboard | app.posteverywhere.ai |
| 🔑 Get an API key | app.posteverywhere.ai/developers |
| 💵 Pricing | posteverywhere.ai/pricing |
| 📚 Help Center | posteverywhere.ai/support |
| 🧠 Model Context Protocol | modelcontextprotocol.io |
| 🐛 Issues / bug reports | github.com/posteverywhere/mcp/issues |
| 📧 Support | support@posteverywhere.ai |
Model Context Protocol (MCP) is an open standard from Anthropic that lets AI assistants connect to external tools and data sources. Once you connect this MCP server, your AI assistant can:
…all from natural-language prompts inside Claude, Cursor, or any MCP-compatible client.
Sign up free at posteverywhere.ai/signup (7-day trial), connect your social accounts, then create an API key at Settings → Developers. Choose your scopes:
claude mcp add posteverywhere -- npx -y @posteverywhere/mcp
Then set POSTEVERYWHERE_API_KEY in your environment, or pass it as an argument:
claude mcp add posteverywhere -e POSTEVERYWHERE_API_KEY=pe_live_your_key_here -- npx -y @posteverywhere/mcp
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"posteverywhere": {
"command": "npx",
"args": ["-y", "@posteverywhere/mcp"],
"env": {
"POSTEVERYWHERE_API_KEY": "pe_live_your_key_here"
}
}
}
}
Restart Claude Desktop. The PostEverywhere tools will appear in the 🔨 menu.
In Cursor, open Settings → MCP → Add new MCP server and paste:
{
"posteverywhere": {
"command": "npx",
"args": ["-y", "@posteverywhere/mcp"],
"env": {
"POSTEVERYWHERE_API_KEY": "pe_live_your_key_here"
}
}
}
This package exposes a standard stdio MCP server. Any MCP-compatible client can connect using the same configuration shape.
Once connected, ask your AI assistant things like:
"List my connected social accounts"
"Schedule a post to all my accounts for tomorrow at 2pm: Just shipped a new feature 🚀"
"Show me my recent posts and their publishing status"
"Generate an image of a sunset over mountains in 16:9 and post it to Instagram and X"
"Retry the failed destinations on my latest post"
"What are my last 10 posts on TikTok?"
list_accounts — list all connected social accounts and their health statusget_account — get details for a specific account (token expiry, can-post status)list_posts — list posts filtered by status (scheduled, published, failed, draft) or platform. Drafts include their target accounts + per-platform content so you can review them before publishing.get_post — get full details for a single post including all destinations (for drafts, the saved accounts + per-platform content)create_post — publish now, schedule for later, or save as a draft for human review (draft: true)schedule_post — publish or schedule a draft (the approval step — pass scheduled_for, or publish_now: true)update_post — modify a scheduled or draft post (content, schedule time, accounts)delete_post — delete a scheduled or draft postget_post_results — per-platform publishing results, errors, and live URLsretry_failed_post — retry every failed destination of a post🧑💼 Human-in-the-loop drafts — let the agent draft posts for you to approve before anything goes live:
- "Draft a LinkedIn post about our launch — don't publish it yet" →
create_post(draft: true)- "Show me my drafts" →
list_posts(status: "draft")/get_post- "Looks good — schedule it for Tuesday 9am" →
schedule_post(scheduled_for: …)(or "publish it now" →publish_now: true)Drafts are saved in your PostEverywhere account and never publish until you schedule them — review them in the app or via the agent.
list_media — list files in your media libraryget_media — get media file details and processing statusupload_media_from_url — import an image from any public URL into the library (one call, returns a media_id ready for create_post)delete_media — remove a media filegenerate_image — generate an image from a text prompt (4 models, 7 aspect ratios)📖 Full tool reference and parameters →
These all work out of the box once the server is connected:
Each natural-language prompt maps to one or more MCP tool calls — the agent figures out the right sequence.
All eight platforms work on every plan:
| Environment variable | Required | Description |
|---|---|---|
POSTEVERYWHERE_API_KEY | ✅ | Your API key from Settings → Developers. Format: pe_live_... |
POSTEVERYWHERE_BASE_URL | ❌ | Override base URL (default https://app.posteverywhere.ai). Useful for self-hosted deployments. |
| Resource | Per minute | Per hour | Per day |
|---|---|---|---|
| General API calls | 60 | 1,000 | — |
| Posts | 60 | 200 | 1,000 |
| AI generation | — | 60 | — |
Hitting a 429? The MCP server returns a clear rate_limit_exceeded code with retry_after seconds — the agent will know to wait and retry.
| This MCP server | PostEverywhere SDK | Direct REST API | |
|---|---|---|---|
| Use with Claude / Cursor / MCP clients | ✅ Native | ❌ | ❌ |
| Use in Node.js code | ❌ (use SDK) | ✅ | ✅ |
| Natural-language scheduling | ✅ | ❌ | ❌ |
| TypeScript types | ✅ | ✅ | Manual |
| Auto-retry / backoff | ✅ | ✅ | Manual |
| Best for | AI-assisted social media | Programmatic integrations | Any HTTP client / language |
retryable flag agents should respectPostEverywhere is the backend for all of these — every plan includes every platform:
@posteverywhere/sdk — Node.js / TypeScript SDK (npm)MIT — see LICENSE.
Built by the team at PostEverywhere. The smarter way to schedule social media to Instagram, TikTok, YouTube, LinkedIn, Facebook, X, Threads, and Pinterest — now with native MCP support for AI agents.
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.