Social media scheduling APIs and MCP tools
A scheduling API can connect publishing to your own application. MCP offers another way for compatible AI assistants to use a service’s available tools. The right choice depends on who or what will run the workflow.
Orymus Team · Updated October 29, 2026 · 3 min read
Our take, in one paragraph.
Use an API when you are building a software integration. Explore Orymus MCP if you want a compatible AI assistant to work with your Orymus account. Verify access, permissions and plan limits before building.
Orymus, Publer, Buffer and Postiz compared
| Feature | OrymusOur pick | Publer | Buffer | Postiz |
|---|---|---|---|---|
| Best for | AI assistants working with your account | Custom software integrations | Developer integrations | Developers who self-host |
| Interface | MCP | REST API | API | API |
| Works with AI assistants (MCP) | Yes | Check current docs | Check current docs | Check current docs |
| Access | By plan | Business and Enterprise | Check current docs | Open source |
| Review before publishing | Yes | Build your own | Build your own | Build your own |
| Self-hostable | No | No | No | Yes |
01Orymus MCP
Orymus provides an MCP connection for compatible AI assistants. Available tools and publishing actions depend on the connected account, permissions and plan. Review the content, destination and time before authorizing actions.
02Publer API
Publer documents a REST API for scheduling and publishing, as well as workspace and account operations. Its documentation states that API access is limited to eligible Business and Enterprise customers.
03Buffer and Postiz
Buffer offers developer-facing API capabilities; check its current documentation for availability and limits. Postiz offers an open-source option with developer tools and self-hosting choices.
04Questions to ask before integrating
- Which channels, account types and post formats are supported?
- Which plans include access, and what limits apply?
- How are credentials and permissions managed?
- How will your workflow handle failed posts, retries and review?
Frequently asked questions
Still deciding? These are the questions we hear most.
What is the difference between an API and MCP?
An API provides operations software can call directly. MCP is a protocol that lets compatible AI clients discover and use tools provided by a service.
Plan your next week with Orymus
Bring your ideas, campaigns and social calendar together. Prepare a draft, review the details and choose when to publish.