Publish content to DEV.to, Hashnode, GitHub Discussions, Reddit, Bluesky, LinkedIn, and Medium.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-automatelab-tech-content-distribution": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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Publish content to DEV.to, Hashnode, GitHub Discussions, Reddit, Bluesky, LinkedIn, and Medium.
No automated test available for this server. Check the GitHub README for setup instructions.
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A markdown editor — and the bridge to your LLM. Local-first, MIT, ~15 MB. Bundled MCP server lets Claude Code / Codex / Cursor drive your vault directly. 14 AI providers BYOK.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.
一键同步文章到多个内容平台,支持今日头条、WordPress、知乎、简书、掘金、CSDN、typecho各大平台,一次发布,多平台同步发布。解放个人生产力
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Publish your content everywhere—without rewriting for every platform.
A MCP server that distributes a single piece of content across 8+ channels (DEV.to, Hashnode, GitHub Discussions, Reddit, Bluesky, LinkedIn, Medium, Twitter) with automatic platform-specific adaptation, idempotent publishing, per-community anti-spam rules, and centralized state management.
Creating and publishing content at scale is friction-heavy:
This MCP handles distribution complexity. Write your core message once, generate platform-specific variants, publish everywhere safely.
No LLM calls inside. No walled-in agents. Just a clean API for multi-platform content distribution at scale.
npx @automatelab/content-distribution-mcp
Or add it permanently to your MCP host.
Claude Code — add to .claude/mcp.json:
{
"mcpServers": {
"content-distribution": {
"command": "npx",
"args": ["-y", "@automatelab/content-distribution-mcp"]
}
}
}
Claude Desktop — add to claude_desktop_config.json:
{
"mcpServers": {
"content-distribution": {
"command": "npx",
"args": ["-y", "@automatelab/content-distribution-mcp"]
}
}
}
n8n — use the MCP Client node, point it at npx @automatelab/content-distribution-mcp over stdio.
Cursor / Windsurf / any MCP host — same npx -y content-distribution-mcp pattern.
The server reads credentials from a Distribution Profile stored in ~/.distribution-mcp/profiles.yaml:
# ~/.distribution-mcp/profiles.yaml
default:
credentials:
DEV_TO_API_KEY: "your-devto-api-key"
HASHNODE_TOKEN: "your-hashnode-token"
HASHNODE_PUBLICATION_ID: "your-pub-id"
GITHUB_TOKEN: "ghp_..."
GITHUB_DISCUSSION_REPO: "owner/repo"
REDDIT_CLIENT_ID: "..."
REDDIT_CLIENT_SECRET: "..."
REDDIT_USERNAME: "..."
REDDIT_PASSWORD: "..."
BLUESKY_IDENTIFIER: "you.bsky.social"
BLUESKY_PASSWORD: "..."
subreddits:
- ClaudeAI
- LocalLLaMA
Only set credentials for channels you intend to use. LinkedIn, Medium, and Twitter/X return needs_browser with a compose URL — no credentials needed.
Eight tools, dot-notation names form a navigable tree (post.*, channel.*, profile.*, subreddit.*). Every tool declares an outputSchema (callers can type-check responses) and MCP annotations (read-only / destructive / idempotent / open-world hints). No LLM calls inside the server.
| Tool | Purpose |
|---|---|
post.publish | Immediate publish; idempotent on (content.id, channel) |
post.schedule | Queue variants for schedule_at, publish the rest immediately |
post.drain | Fire all scheduled posts due now — run from cron |
post.status | Per-channel state for a content piece or channel |
post.unpublish | Best-effort delete (DEV.to sets unpublished; others vary) |
channel.hints | Per-channel metadata: char limits, Markdown support, tag vocab |