# Ordinal

> Use this tool when you need to manage social media presence across multiple platforms, creating and scheduling posts, and tracking analytics. It solves problems of content organization, approval workflows, and auto-engagements, providing a streamlined interface for inputting post content and outputting analytics and engagement metrics. Ideal for use in marketing, customer service, and community management contexts.

Canonical page: https://skillsregistry.net/skills/ordinal  
JSON: https://api.skillsregistry.net/v1/skills/ordinal

## Description

Ordinal's MCP server enables AI assistants to interact with Ordinal workspaces for social media management. It supports creating and scheduling posts, managing profiles, retrieving analytics, organizing content with labels, handling approval workflows, and configuring auto-engagements across LinkedIn, Twitter, Instagram, Facebook, TikTok, YouTube, Threads, and more.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ordinal)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ordinal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ordinal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ordinal/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt