MCP server
An MCP server exposes a product's API as standardized tools, so AI clients like Claude, ChatGPT, or Cursor can draft, schedule, and read analytics for you.
What is an MCP server?
MCP stands for Model Context Protocol, an open standard that lets AI clients invoke tools from a third-party service in a structured, secure way. An MCP server is the adapter: it sits in front of a product's API and exposes each operation (post, schedule, list, delete, search...) as an MCP tool.
When Claude Desktop or Cursor wants to "publish a post on Instagram," it sees the MCP server's publish_post tool, fills the parameters, and calls it, same shape as any other tool the model uses.
Why it matters for social media
Without MCP, plugging an AI agent into your scheduler means custom integrations: figuring out the API, writing wrappers, maintaining auth. With MCP, you connect once and any AI client compatible with the standard can drive the scheduler end-to-end: drafting posts, scheduling them, reading analytics, queuing carousels.
What TryPost exposes
TryPost's MCP server covers the full surface area of the scheduler: connect accounts, draft posts, schedule, list calendar, read analytics, manage team. Permissions are per-tool. You can grant an agent read-only access to analytics without letting it publish, for example. Every action lands in an audit log.
Connect from Claude Desktop, Cursor, VS Code, ChatGPT, or any MCP-compatible client.
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