# Repliz MCP Server

> Use this tool when you need to manage Repliz workspaces efficiently through natural language commands, solving problems such as streamlining content management and social media engagement. It takes in natural language inputs and outputs managed workspace actions, including comment and post management, and direct message handling. Ideal for use cases requiring automated content scheduling, stat browsing, and AI-driven workspace administration.

Canonical page: https://skillsregistry.net/skills/azickri-repliz-mcp  
JSON: https://api.skillsregistry.net/v1/skills/azickri-repliz-mcp

## Description

Enables AI assistants to manage Repliz workspaces via natural language, including listing and replying to comments, scheduling posts, handling DMs, and browsing content and stats.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zfmgx4x0yp)
- **Repository:** <https://github.com/azickri/repliz-mcp>

## 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": "azickri-repliz-mcp"
    }
  }
}
```

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