# Social PostLint-MCP

> Social PostLint-MCP — conorbronsdon-postlint-mcp. Use this tool when you need to optimize social media posts for character limits across various platforms, solving issues with truncated or misformatted posts. It checks posts against the character limits of platforms like X, Bluesky, Mastodon, and LinkedIn, handling unique counting rules for URLs and non-Latin scripts. It provides accurate character counts with no need for credentials or network access, making it a reliable solution for social media management.

Canonical page: https://skillsregistry.net/skills/conorbronsdon-postlint-mcp  
JSON: https://api.skillsregistry.net/v1/skills/conorbronsdon-postlint-mcp

## Description

Checks a social post against a platform's real character limit before it ships — X bills every URL at 23 characters and weights non-Latin script at 2, while Bluesky and Mastodon count grapheme clusters. Covers X, X Premium, Bluesky, LinkedIn, Threads, Mastodon, and Discord, with no credentials and no network access.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qmxbgqztzy)
- **Repository:** <https://github.com/conorbronsdon/postlint-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": "conorbronsdon-postlint-mcp"
    }
  }
}
```

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