About Publora
Publora's hosted MCP server lets marketers, creators, business owners, and developers manage social posts through compatible AI clients. It supports scheduling, publishing, media handling, account connections, and selected engagement statistics across 10 platforms.
Key features
- 01Draft, schedule, edit, and publish posts
- 02Attach and manage post media
- 03List connected social accounts
- 04Check post and profile statistics
- 05React, comment, and reshare on LinkedIn
Use cases
- 01Scheduling campaign posts across social accounts
- 02Publishing one post to multiple platforms
- 03Checking engagement on Mastodon or Bluesky
- 04Managing LinkedIn reactions and comments
MCP support
Publora hosts an MCP server at `mcp.publora.com/mcp` for compatible clients. It exposes tools for posts, media, account connections, statistics, and LinkedIn engagement; clients authenticate using OAuth or an API key.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.publora.com/mcpclaude mcp add --transport http com-publora https://mcp.publora.com/mcp{"mcpServers":{"com-publora":{"type":"http","url":"https://mcp.publora.com/mcp"}}}Open in Cursor{"servers":{"com-publora":{"type":"http","url":"https://mcp.publora.com/mcp"}}}Open in VS Code{"mcpServers":{"com-publora":{"type":"http","url":"https://mcp.publora.com/mcp"}}}{"mcpServers":{"com-publora":{"serverUrl":"https://mcp.publora.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEPublora MCP Server
Official Model Context Protocol (MCP) server for Publora — control your social media scheduling directly from AI assistants like Claude, Cursor, and any MCP-compatible client.
No coding required. Just describe what you want in plain English:
"Schedule a LinkedIn post for tomorrow at 9am" "How did my last post perform?" "Post this to Twitter and LinkedIn"
Quick Start
Remote Server (Recommended)
Publora hosts an MCP server at mcp.publora.com/mcp — no installation needed.
Using Claude? Install it from the connectors directory: claude.ai/directory/publora. Select Connect, sign in to Publora, approve. No API key, no config file — on web, desktop and mobile alike.
Every other client:
1. Get your API key at app.publora.com/dashboard/api (API in the dashboard sidebar)
2. Add to your MCP client:
{
"mcpServers": {
"publora": {
"type": "http",
"url": "https://mcp.publora.com/mcp",
"headers": {
"Authorization": "Bearer sk_YOUR_API_KEY"
}
}
}
}
Clients that support OAuth (Claude Code, Cursor, VS Code, Codex and others) can leave out headers and sign in through the browser instead.
3. Restart your client and start talking to your AI about social media!
Client Setup
Claude Code (CLI)
claude mcp add --transport http --scope user publora https://mcp.publora.com/mcp
Run /mcp, select publora, choose Authenticate and sign in to Publora in the browser. No API key needed.
For CI or headless machines, send a static key instead:
claude mcp add --transport http --scope user publora https://mcp.publora.com/mcp \
--header "Authorization: Bearer sk_YOUR_API_KEY"
The same entry can go in ~/.claude.json or a project .mcp.json (JSON above). Verify with the /mcp command.
Claude Desktop
Claude Desktop uses the same connectors as Claude on the web: open claude.ai/directory/publora and select Connect. There is no config file to edit.
Settings → Developer → Edit Config is only needed to run this repository locally over stdio, after cloning it and running npm install (see Local Development for how its tools differ from the hosted server):
{
"mcpServers": {
"publora": {
"command": "node",
"args": ["/path/to/mcp-server/src/stdio.js"],
"env": {
"PUBLORA_API_KEY": "sk_YOUR_API_KEY"
}
}
}
}
Cursor
Create .cursor/mcp.json in your project:
{
"mcpServers": {
"publora": {
"type": "http",
"url": "https://mcp.publora.com/mcp",
"headers": {
"Authorization": "Bearer sk_YOUR_API_KEY"
}
}
}
}
Local Development
Run your own instance:
git clone https://github.com/publora/mcp-server.git
cd mcp-server
npm install
PUBLORA_API_URL=https://api.publora.com npm start
Server runs on http://localhost:3100
The code in this repository is an April 2026 snapshot of the server. Its tool set is older: it has LinkedIn analytics and workspace tools, and lacks attach_media, complete_media, delete_media, prune_media_reference, account_context, post_stats, profile_stats, linkedin_create_reshare, linkedin_list_mentionables and the company_* Agency tools. Use the hosted server for the current tools.
Available Tools (20)
The hosted server at mcp.publora.com/mcp exposes:
Posts
| Tool | Description |
|---|---|
list_posts | List posts with filters (status, platform, dates) |
create_post | Create a draft, schedule a post, or publish now with publishNow: true; accepts mediaUrls and platformSettings |
get_post | Get post details and status |
update_post | Edit a draft or scheduled post: content, platforms, schedule, status, or publish it now with publishNow: true |
delete_post | Delete a post |
Media
| Tool | Description |
|---|---|
attach_media | Attach an image or video from ChatGPT to an existing post; leaves the post in draft |
get_upload_url | Get a presigned URL for media upload |
complete_media | Finalize a file uploaded via get_upload_url |
delete_media | Remove a media slot from a post |
prune_media_reference | Remove a stale media reference that delete_media cannot handle |
Account and connections
| Tool | Description |
|---|---|
account_context | Your plan, available features, publishing quotas and schedule horizon — check before a batch of posts or after a quota error |
list_connections | List connected social accounts |
Statistics (Mastodon and Bluesky, Pro plan or legacy Premium)
| Tool | Description |
|---|---|
post_stats | Engagement counters for published posts |
profile_stats | Followers, following and post count of a connected account |
LinkedIn Engagement
| Tool | Description |
|---|---|
linkedin_create_reaction | React to a post |
linkedin_delete_reaction | Remove a reaction |
linkedin_create_comment | Post a comment on a LinkedIn post |
linkedin_delete_comment | Delete a comment |
linkedin_create_reshare | Repost/reshare a LinkedIn post |
linkedin_list_mentionables | List people you can @mention in a LinkedIn post |
LinkedIn analytics and workspace management are available through the REST API, not MCP. Full parameters: MCP Tools Reference.
Example Conversations
Schedule a post:
You: Schedule "Excited about our product launch!" to LinkedIn for tomorrow 9am AI: Done! Post scheduled for tomorrow at 9am EST.
Cross-platform posting:
You: Post "We're hiring!" to all my accounts AI: Published to Twitter, LinkedIn, and Bluesky.
Check engagement (Mastodon, Bluesky):
You: How did my last Bluesky post do? AI: 42 likes, 7 reposts and 3 replies so far.
Content calendar:
You: What do I have scheduled for next week? AI: 5 posts: Mon LinkedIn, Tue Twitter+LinkedIn, Wed LinkedIn...
Who Is This For?
- Marketers — manage campaigns and check analytics via AI chat
- Content creators — schedule posts without switching apps
- Business owners — delegate social media tasks to AI
- Developers — integrate Publora into AI-powered workflows
Supported Platforms
Twitter/X · LinkedIn · Instagram · Threads · TikTok · YouTube · Facebook · Bluesky · Mastodon · Telegram
Authentication
Clients that support OAuth 2.1 (Claude, Claude Code, Cursor, VS Code, Codex and others) sign in through the browser — no key to copy.
Everywhere else, use your Publora API key via:
Authorization: Bearer sk_...(recommended)x-publora-key: sk_...
Get your key: app.publora.com/dashboard/api
Verification
# Health check
curl https://mcp.publora.com/health
# Test MCP handshake
curl -X POST https://mcp.publora.com/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "Authorization: Bearer sk_YOUR_API_KEY" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}'
Documentation
- MCP Setup Guide: docs.publora.com/guides/mcp-server
- REST API Docs: docs.publora.com
- MCP Protocol: modelcontextprotocol.io
Development
# Install
npm install
# Run locally
PUBLORA_API_URL=https://api.publora.com npm start
# Run tests
npm test
Environment Variables
| Variable | Default | Description |
|---|---|---|
PORT | 3100 | Server port |
PUBLORA_API_URL | https://api.publora.com | Backend API URL |
Related
- Publora — Social media scheduling platform
- Publora API Docs — REST API documentation
- awesome-mcp-servers — Community MCP servers list
License
Publora — Affordable social media API: free Starter plan with API and MCP access; Pro from $5.99 per account per month ($3.99 billed yearly)
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.