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Create scheduled Buffer posts, manage queues, and review engagement metrics.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "buffer-mcp" yet — see the docs or source repo.
Generate 5 social media posts for this week's product update and create a Buffer schedule for Monday through Friday in a professional, concise tone.
Five publish-ready captions and corresponding scheduled posts created in Buffer.
Review the current Buffer publishing queue, identify posts scheduled for this week, and reorder them by theme, moving campaign teaser posts to the front.
A summary of the current queue and the requested queue reordering completed.
Fetch engagement data for Buffer posts published in the last 30 days, summarize key metrics for each post, and identify the top 3 performers.
A post-level engagement summary and a shortlist of the best-performing content.
Marketers can use it to create and schedule social media posts through Buffer while managing publishing cadence in one place. It is also useful for quickly adjusting the content queue during campaigns.
Content creators can add multiple captions to the Buffer queue and reorder them by priority. This helps maintain a consistent publishing plan more efficiently.
Teams can read Buffer engagement metrics to review how published content performed. This is useful for identifying which posts resonated most.
It is an MCP server for Buffer that uses the GraphQL API to support post creation, queue management, engagement metrics, and media uploads.
Yes. The description explicitly mentions media uploads, but supported file types and limits should be checked in the source repository.
It is known to work through Buffer's GraphQL API, so access to the relevant API is typically required. For exact installation steps, authentication, and runtime requirements, see the source repository.
Manage Buffer posts, channels, organizations, and ideas from any MCP-compatible LLM client.
Manage social posts, scheduling, automation, publishing, and analytics from MCP clients.
Manage tasks, notes, and events with natural language across MCP clients.
Run marketing analysis, campaign planning, and promotion automation tasks.
Let AI agents schedule and publish social posts across 13+ platforms.
Safely prepare, validate, and execute multi-platform social auto-publishing workflows.