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SpeedContent Social MCP

SpeedContent Social MCP

by seotrader

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.

Related MCP server: PostMCP MCP Server

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

Available Tools

3 tools
check_social_jobCheck a social post jobAInspect

Look up a social post generation job by id. Use this only when generate_social_post timed out and returned a job id — it does not start new work and costs nothing.

Inputs: job_id (required).

generate_social_postGenerate a social media postAInspect

Write a social media post for a given platform and topic. The post is written to that platform's conventions, rewritten to read as human-authored, optionally scored against AI detection, and optionally illustrated with a generated image. Blocks until generation finishes, typically 20-90 seconds. Costs credits.

Inputs: topic (required), platform (required), tone, language, +9 more.

list_social_platformsList supported platformsAInspect

List the platforms generate_social_post supports, with each one's default post length and emoji policy. Costs nothing and makes no network call.

Inputs: no named parameters.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.1/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: generate_social_post creates work, check_social_job only polls an existing job by id, and list_social_platforms only reads metadata. The descriptions even spell out when to use check_social_job (only after a timeout) versus generate_social_post, so there is no realistic misselection.

    Naming Consistency5/5

    All three tools follow the same verb_noun snake_case pattern: generate_social_post, check_social_job, list_social_platforms. The verb (generate/check/list) also maps cleanly onto each tool's action, reinforcing the pattern.

    Tool Count4/5

    Three tools is on the low end but well-matched to a narrow single-purpose service: one action tool, one status poller, one discovery tool. Nothing feels redundant or padded, though the surface is thin enough that a couple more operations could reasonably exist.

    Completeness4/5

    The core lifecycle for generating a social post is covered: discover platforms, generate, and recover from timeouts via job lookup. Minor gaps remain — there is no way to cancel or list jobs, or to fetch/reuse a completed post outside the timeout path — but agents can work around these.

    Maintenance

    ActivitySlowing
    ResponsivenessNo recent community issues

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