# mcp-server

> mcp-server — socialapishub-mcp-server. Use this tool when you need to integrate social media APIs with AI agents, providing a unified interface for seamless interactions. The mcp-server solves problems of fragmented social media APIs, enabling AI agents to access and utilize social data efficiently. It accepts social media requests as input and outputs unified API responses, ideal for use cases requiring centralized social media management for AI-driven applications.

Canonical page: https://skillsregistry.net/skills/socialapishub-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/socialapishub-mcp-server

## Description

🤖 Model Context Protocol server for SocialAPIs - Unified social media API for AI agents

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** social-media
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/SocialAPIsHub/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": "socialapishub-mcp-server"
    }
  }
}
```

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