# publiar-mcp

> publiar-mcp — tokdar2410621-publiar-mcp. Use this tool when you need to automate the creation and publication of LinkedIn lead magnets with accurate information and engaging visuals. It solves the problem of manually generating and publishing content, while also tracking engagement metrics. The tool takes input through stdio and outputs published LinkedIn content with matching visuals and engagement tracking.

Canonical page: https://skillsregistry.net/skills/tokdar2410621-publiar-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tokdar2410621-publiar-mcp

## Description

MCP server for Publiar that writes LinkedIn lead magnets without fabricating facts, renders matching visuals, publishes to LinkedIn, and tracks engagement, with 19 tools over stdio.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v3zdt2k2xq)
- **Repository:** <https://github.com/TokDar2410621/publiar-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": "tokdar2410621-publiar-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tokdar2410621-publiar-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tokdar2410621-publiar-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