Autoadify MCP Server

What the Autoadify MCP server does

How models use it and what it is built for.

The server exposes 13 tools split into read and publish groups. Read tools report your workspace, plan and remaining quota, list connected channels with their posting rules, and return per-channel status for every post — including the live URL or the error when a publish fails. Publish tools create, edit and cancel scheduled posts across one or many channels, and manage media: import an image, video or PDF from a public URL, or upload a local file through a one-time upload URL. The tools a model can see depend on the API key — a read-only key exposes nothing that changes data, and keys can be limited to specific channels.

Tools the Autoadify MCP server exposes

Typical tools an AI model can call. Exact names vary by version.

• whoami — workspace, plan, permissions and remaining quota
• list_channels — connected channels and their posting rules
• list_posts / get_post — posts, per-channel status, live URL and errors
• create_post / update_post / delete_post — schedule, edit or cancel posts
• list_media / get_media — search the media library and inspect a file
• import_media — pull an image, video or PDF from a public URL
• create_media_upload / complete_media_upload — upload a local file
• delete_media — delete a file (refused while a scheduled post uses it)

Connecting to Autoadify

Taken from the official Autoadify documentation — see Autoadify MCP documentation for the full reference.

claude mcp add --transport http autoadify https://mcp.autoadify.com/mcp \
  --header "Authorization: Bearer <AUTOADIFY_API_KEY>"

{
  "mcpServers": {
    "autoadify": {
      "url": "https://mcp.autoadify.com/mcp",
      "headers": { "Authorization": "Bearer <AUTOADIFY_API_KEY>" }
    }
  }
}

{
  "servers": {
    "autoadify": {
      "type": "http",
      "url": "https://mcp.autoadify.com/mcp",
      "headers": { "Authorization": "Bearer <AUTOADIFY_API_KEY>" }
    }
  }
}

{
  "mcpServers": {
    "autoadify": {
      "command": "npx",
      "args": [
        "-y", "mcp-remote", "https://mcp.autoadify.com/mcp",
        "--header", "Authorization: Bearer <AUTOADIFY_API_KEY>"
      ]
    }
  }
}

Example prompts to try

Copy any of these into MCP Agent Studio after connecting.

• Which channels are connected, and what are the posting rules for each?

• Schedule this announcement to LinkedIn and X for 9am tomorrow, and show me the draft before you post it.

• Post this product photo to Instagram and Facebook at 6pm today with a short caption and three hashtags.

• Share this launch note on Reddit in the right subreddit with a clear title, and on X as a thread. Show me both first.

• Write a professional LinkedIn post and a casual Threads post from this blog link, and schedule both for Monday 10am.

• Schedule this video to TikTok and YouTube Shorts for Friday at noon with a hook in the first line.

• Pin this image to Pinterest and post it to Bluesky tomorrow morning, with a different caption for each.

• Cross-post this announcement to Instagram, Facebook, X, Reddit and LinkedIn, adapting the text to each platform's rules.

• Spread these five tips over next week as one post a day on LinkedIn and X at 9am.

• What is scheduled for the next seven days, grouped by channel?

• Move Wednesday's Instagram post to Thursday at 7pm.

• Cancel every scheduled post that mentions the old pricing.

• List every post that failed this week and tell me why each one failed.

• Give me the live URLs for everything that published yesterday.

• Import the image at this URL into my media library and attach it to Thursday's scheduled post.

• How much of my monthly request quota is left?

Models on MCP Playground

This is not a single-model product: you get the same MCP connection with 60+ models (Claude, GPT, Gemini, DeepSeek, open-weight, and more), you can switch mid-conversation, and you can open Compare mode to run the same prompt against multiple models at once. The card above is a suggested starting point for this server — not the only choice.

Check an AI agent can actually use the Autoadify MCP server

Listing tools proves the server is reachable, not that a model can work with it. Evals go further: they read every tool on the server, write a test suite from its real schemas, and run it — code decides pass/fail on the responses (schema conformance, error codes, pagination, result caps) while a scoring model grades plain-English tasks driven through the tools.

Autoadify MCP server — FAQ

Common questions about connecting, scoping and using it safely.