What is an MCP server for social media?
MCP stands for Model Context Protocol — an open standard that lets AI assistants like Claude and ChatGPT securely connect to external tools and act on your behalf. Instead of copying and pasting between a chat window and your dashboard, the assistant talks directly to the service through a small, well-defined set of tools. Think of it as a USB-C port for AI: one standard connection that any compatible assistant can plug into.
Postger's MCP server turns your AI assistant into a social media manager. Once connected, you can ask your assistant to draft captions, schedule posts, reschedule your week, search your media library, and pull analytics — in plain English, without ever opening the Postger dashboard. The assistant does the clicking; you just describe what you want.
This matters because the fastest-growing way people work is now inside a chat window. If your team already lives in Claude, ChatGPT, or Cursor, the MCP server meets them there. There is nothing new to learn and no context-switching. Your social workflow becomes a conversation.
How Postger's MCP server works
The MCP server runs at a single endpoint and speaks JSON-RPC 2.0, the transport that MCP clients expect. When your assistant connects, it asks the server which tools are available, and Postger returns only the tools your credentials allow. From there, every request the assistant makes — creating a post, reading analytics — is a tool call routed through your workspace with your permissions applied.
Nothing about the underlying automation changes. A post created over MCP goes into the exact same queue as a post created in the dashboard, publishes through each platform's official API at the scheduled time, and appears on your calendar alongside everything else. The MCP server is simply a second front door into the product — one built for AI assistants instead of humans.
Because MCP is an open standard, the same connection works across assistants. Set it up once and use it from Claude on your laptop, ChatGPT on the web, and Cursor in your editor. You are not locked into a single vendor's ecosystem.
What your AI assistant can do
The server exposes a focused toolset covering the full posting lifecycle. Your assistant can list your connected accounts and their IDs, create drafts and queued posts, list and fetch existing posts, update content or scheduling, queue a post for publishing, and cancel a scheduled post back to draft. That is everything needed to plan and manage a content calendar from chat.
Media is covered too. Your assistant can upload images and videos into your media library and search that library by file name and type, so it can reuse an asset you already have instead of asking you to re-upload it. When you say “attach the product shot from last week,” it can find it.
For reporting, the server exposes account analytics over a date range and per-post engagement metrics. Ask “how did last month's LinkedIn posts perform?” and your assistant reads the numbers directly, so you can turn raw metrics into a summary or a client report without leaving the conversation.
Publish to 9 platforms from one conversation
Postger connects to Instagram, X (Twitter), Facebook, LinkedIn, YouTube, TikTok, Threads, Bluesky, and Pinterest — all through each platform's official API. Every one of those connections is available through the MCP server, so a single instruction to your assistant can fan a post out across your whole presence.
Ask for “a short announcement on X and Threads, and a longer version on LinkedIn,” and your assistant creates the right posts for each network in one go. Because Postger handles per-platform formatting and publishing under the hood, you describe the intent once and let the tools handle the platform-specific details.
This is the payoff of a first-party integration rather than an aggregator: your assistant works with real, native connections. Posts appear exactly as if you published them from each app, with full support for images, video, and platform-specific behavior.
Security: scoped, revocable, and auditable
The MCP server never sees your social passwords. Access is granted through a scoped API key or an OAuth token, and both carry only the permissions you choose — read posts, write posts, publish, read analytics, and so on. Effective permissions are the intersection of what the key grants and your current workspace role, so demoting a teammate automatically shrinks the reach of any key they issued.
You decide exactly how much rope your assistant gets. Create a key that can draft but not publish, and the assistant can prepare your week without anything going live until you approve it. Restrict a key to a single client's accounts, and it physically cannot touch the others. Access is revocable at any time — pull the key or revoke the token and the connection dies instantly.
Every action an assistant takes is written to an audit log with a timestamp, the tool that was called, and the originating request. Combined with per-key and per-workspace rate limits, that gives you a complete, reviewable record of what your AI did on your behalf. Trust, but verify — and here you actually can.
Connect your AI assistant in three steps
Setup takes a couple of minutes. First, open Settings → API Keys in Postger (owner or manager role required), create a key, choose the accounts and permissions it may use, and copy the pg_live_ token — it is shown only once. Then add the MCP server to your assistant. Then start asking.
For Claude Desktop and claude.ai, you do not even need an API key: add https://app.postger.com/api/v1/mcp as a custom connector and Claude discovers the OAuth flow automatically, sending you to Postger's consent screen to sign in, pick a workspace, and approve the scopes. Access refreshes on its own and you can revoke it anytime.
For Cursor, Claude Code, and other MCP clients, point the client at the same endpoint with your API key as a bearer token. The configuration is a few lines of JSON. Full copy-paste snippets for every client live in the API & MCP documentation, linked below.
Who it's for
Agencies use the MCP server to run more accounts with the same team. Instead of clicking through dashboards for every client, an account manager can ask their assistant to draft a week of posts, schedule them to the right workspace, and pull last month's numbers for a report — all in chat, with a per-client key that cannot touch other accounts.
In-house teams and multi-location brands use it to keep publishing consistent without adding headcount. Marketers who already draft copy in Claude or ChatGPT can push the finished post straight into the Postger queue, closing the loop between writing and scheduling in the same window.
Creators and founders use it to move fast. When your whole workflow is a conversation, maintaining a posting rhythm stops feeling like a chore. You think of an idea, describe it, and it is scheduled — no tab-switching, no forgetting, no friction.