
SpeedContent Social
io.github.seotraderv0.1.0Updated Oct 2, 2026
Generate platform-native social posts that are humanized, AI-detection scored and illustrated.
Overview
Lets an assistant draft platform-specific social media posts, rewrite them to read as human-written, score them for AI detection, and optionally add images.
- What it does
- Wraps the SpeedContent Social Post API so an assistant can generate posts for seven platforms (Facebook, Instagram, X, LinkedIn, Pinterest, YouTube, TikTok). Each post is written to the platform's conventions, rewritten to read as human-authored, scored 0-65 by an AI detector, and optionally illustrated. Generation runs as a job: generate_social_post returns an id, and check_social_job collects the result or progress. list_social_platforms returns platform defaults and emoji policy.
- When to use it
- Use it when you want social copy that is tuned per platform and checked for how machine-written it reads before publishing, rather than a single generic model prompt. Useful for marketing or content workflows that need multiple variations, brand voice, or optional images.
- Requirements
- A remote HTTP endpoint; nothing to install. Requires a SpeedContent API key sent in the X-API-Key header (Authorization: Bearer also works), created free at the provider's site. Network access to the hosted endpoint. An optional standalone stdio build exists for older clients and needs Node.js and the SPEEDCONTENT_API_KEY environment variable.
Installation
In SourceWeft
- Open SpeedContent Social in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"speedcontent-social": {
"type": "http",
"url": "https://generatecontentwithaiservice-g5zrtckfda-ue.a.run.app/mcp"
}
}
}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:
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 Desktop, Cursor, and other clients
Authorization: Bearer sc_... works too, for clients that prefer it.
Tools
generate_social_post
Starts a job and returns its id. Generation takes 20–90 seconds; collect the result with check_social_job. Costs credits.
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.
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:
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
Source: README.md at commit e2ca6c9
Tools
0Version history
1- v0.1.0LatestOct 2, 2026
