Server data from the Official MCP Registry
Generate platform-native social posts that are humanized, AI-detection scored and illustrated.
About
Generate platform-native social posts that are humanized, AI-detection scored and illustrated.
Remote endpoints: streamable-http: https://speedcontent.online/mcp
Security Report
Valid MCP server (1 strong, 3 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
3 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-seotrader-speedcontent-social": {
"url": "https://speedcontent.online/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
SpeedContent Social MCP
Give an AI agent the ability to write social media posts that don't read like AI wrote them.
An MCP server for the SpeedContent Social Post API. Agents can draft posts for seven platforms; each one is written to that platform's conventions, rewritten to read as human-authored, scored against AI detection, and optionally illustrated.
Listed in the official MCP Registry as io.github.seotrader/speedcontent-social.
Why this and not a plain model call
Any model can write a LinkedIn post. The difference is what happens after:
| Step | What it does |
|---|---|
| Generate | Written against the platform's own style guide, not one prompt reskinned |
| Humanize | Rewritten so it doesn't read as machine-written |
| Detect | Scored 0–65 by an AI detector; 0 reads as human |
| Emoji | Platform-aware; suppressed on LinkedIn and YouTube |
| Re-humanize | Automatic retry if the score comes back too high |
| Image | Optional, generated to match the post |
The scoring pass is the point. The agent is told how human the copy reads before anything is published.
Setup
This is a remote server — there is nothing to install. Get an API key at app.speedcontent.online/APIKeys (free credits on signup, no card), then point your client at the URL.
Claude Code
claude mcp add --transport http speedcontent-social \
https://speedcontent.online/mcp \
--header "X-API-Key: sc_your_key_here"
Claude Desktop, Cursor, and other clients
{
"mcpServers": {
"speedcontent-social": {
"url": "https://speedcontent.online/mcp",
"headers": {
"X-API-Key": "sc_your_key_here"
}
}
}
}
Authorization: Bearer sc_... works too, for clients that prefer it.
Tools
If you have already written the post, use score_text and humanize_text — they check and fix your own wording. Use generate_social_post when you need a draft written from scratch.
score_text
Score any text against an AI detector. Returns 0–65, where 0 reads as human and above 30 is likely to be flagged. This is the measurement an agent cannot make for itself. 8 credits.
humanize_text
Rewrite text so it no longer reads as machine-written. Brand names, domains and anything listed in preserve are restored verbatim afterwards, because the humanizer rewrites whole sentences and splits names. 1 credit per 20 words, plus 8 if you pass score_after.
| Parameter | Notes |
|---|---|
text | Required. At least 10 characters. |
preserve | Exact lines that must survive — a tagline, a call to action, a closing question. |
brand_terms | Names the humanizer must not alter or split. |
score_after | Score the result and return it. Adds 8 credits. |
generate_social_post
Writes a post from scratch. Starts a job and returns its id; collect the result with check_social_job. Costs credits.
| Parameter | Default | Notes |
|---|---|---|
topic | — | Required. What the post is about. |
platform | — | Required. facebook, instagram, twitter, linkedin, pinterest, youtube, tiktok. |
tone | friendly | professional, casual, friendly, humorous, inspirational, educational. |
language | English | Any language name. |
quantity | 1 | Up to 10 variations. |
word_count | per platform | 10–500. LinkedIn 100, YouTube 150, Facebook/Pinterest 75, Instagram/TikTok 50, X 40. |
generate_image | false over MCP | Adds 10 credits per post. |
detect_ai | automatic | Adds 8 credits per post. Automatic means 150+ words only — short posts score unreliably. |
humanize | automatic | Automatic scores the draft first and humanizes only if it would be flagged, which keeps your wording and saves a credit. |
emoji | automatic | Off on LinkedIn and YouTube, on elsewhere. |
preserve | — | Exact lines that must appear verbatim. |
brand_name, brand_description, brand_tone, brand_audience, brand_keywords | — | Optional brand voice. |
check_social_job
Returns the finished posts, or current progress while the job runs. Free.
list_social_platforms
Platforms with default lengths and emoji policy. Free, no network call.
Credits
Per post: 20 base (up to 200 words), +1 per 10 words beyond 200, +10 for an image, +8 for AI detection. Multiplied by quantity. Refunded in full if generation fails.
A 100-word LinkedIn post with an image costs 30 credits.
What's in this repo
The live server runs inside the SpeedContent API service. This repo holds the registry manifest and a standalone stdio implementation.
| Path | What it is |
|---|---|
server.json | The MCP Registry manifest, pointing at the hosted endpoint |
src/index.ts | A standalone stdio server, for clients that can't do remote HTTP |
PUBLISHING.md | How this gets published and listed |
The stdio build is not on npm and isn't needed for normal use. It exists as a fallback for older MCP clients that only support subprocess transport, and carries the same five tools:
npm install && npm run build
SPEEDCONTENT_API_KEY=sc_... node dist/index.js
Reselling
Volume and white-label pricing is per post rather than per seat, and your users don't need SpeedContent accounts of their own. Get in touch.
Licence
MIT
Reviews
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