# Sociona MCP Server

> Use this tool when you need to manage social media presence across multiple platforms, including Twitter, Instagram, and Threads, to streamline content publishing and scheduling. It solves problems of manual posting and analytics tracking by providing a centralized interface for AI assistants to publish, schedule, and analyze social media posts. The Sociona MCP Server takes natural language commands as input and outputs managed social media content, making it ideal for use cases requiring automated social media management.

Canonical page: https://skillsregistry.net/skills/fav-devs-sociona-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/fav-devs-sociona-mcp-server

## Description

Enables AI assistants to publish, schedule, and manage social media posts across X (Twitter), Instagram, and Threads through the Sociona API. Supports immediate posting, scheduling, analytics, and account management with natural language commands.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e8kroog6zn)
- **Repository:** <https://github.com/fav-devs/sociona-mcp-server>

## 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": "fav-devs-sociona-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fav-devs-sociona-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fav-devs-sociona-mcp-server/pull`

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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