Apr 5
If you use Typefully with AI agents like Claude, ChatGPT, Notion, OpenClaw, or your own custom integrations, this is a big one.
Your agents can now analyze post performance, manage your content calendar, tag companies on LinkedIn, create quote posts, and more.
Everything below works across our API, MCP server, and Agent Skill, so it's available wherever you use AI.
The most requested API feature is here. You can now pull performance data for your X posts published through Typefully.
This means your agents can answer questions like "what were my top performing posts this month?" with real data. Create, schedule, and analyze — all from the same agent workflow.

You can now manage your content calendar end-to-end via API:
/v2/social-sets/{id}/queue — inspect upcoming scheduled content/v2/social-sets/{id}/queue/schedule — read your posting schedule/v2/social-sets/{id}/queue/schedule — update your posting scheduleThis lets agents go beyond creating individual posts. They can schedule to your next free slot, swap posts around, and adjust your queue rules.

You can now resolve LinkedIn org URLs and include company mentions in draft text programmatically:
/v2/social-sets/{id}/linkedin/organizations/resolve@[Company](urn:li:organization:ID) syntax in post textFull LinkedIn tagging workflows from API clients and agents.
You can now create quote-post-style tweets via API, MCP, and Agent Skill using quote_post_url. This is equivalent to the "Convert to quote" action in the Typefully UI.
We've improved media upload documentation and instructions for MCP, CLI, and agent workflows, including exact presigned PUT behavior. This reduces common upload failures like SignatureDoesNotMatch.
We've also improved the experience for adding Typefully's MCP server inside Notion agents, making setup smoother for Notion-based workflows.
There are three ways to connect Typefully to your AI agents:
npx skills add typefully/agent-skills (GitHub →)For direct API access, check out our API docs.
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