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Appie.run MCP Server

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Appie.run MCP server

Find Reddit threads and draft replies, track LinkedIn profiles and leads, write on-brand articles, run AI chatbots and create trackable short links from Cursor, Claude or any other Model Context Protocol client.

Appie.run is an AI marketing stack that learns your brand from your website. This hosted MCP server gives your AI client the same brand context, so the content and answers it produces sound like you.

Try it free

New Appie.run accounts get 500 free credits, no credit card needed. That's enough for about 5 light articles or 500 chatbot replies. Read tools never spend credits.

Related MCP server: bamf-mcp

Quick start

  1. Sign up at Appie.run and open your project.

  2. Go to API in the project sidebar and generate a key (it starts with esk_). Only project admins can do this.

  3. Add the server to your MCP client config:

{
  "mcpServers": {
    "appie": {
      "type": "streamable-http",
      "url": "https://appie.run/mcp",
      "headers": { "Authorization": "Bearer YOUR_APPIE_API_KEY" }
    }
  }
}

The same config is in examples/mcp-config.json. Never commit a real key.

Grok Build plugin

This repo is also a Grok Build plugin. .mcp.json connects to https://appie.run/mcp and sends your key from the APPIE_API_KEY environment variable as a Bearer token. Set it before starting Grok:

export APPIE_API_KEY=esk_your_key

The plugin ships no code or hooks. It includes the five instruction-only agent skills in skills/ (see Agent Skills), which call the same MCP server. Its only network endpoint is https://appie.run/mcp, and its only credential is APPIE_API_KEY.

What you can do

  • Find Reddit conversations worth joining. Save keywords and competitors, list matching Reddit threads, and draft a reply for any thread. Appie never posts to Reddit; you paste the reply yourself.

  • Track LinkedIn profiles and leads. Add the LinkedIn profiles you want to track and list the leads, with email and phone when a lookup has found them.

  • Write articles in your voice. Start a light (~500 words) or deeply researched (~3,000 words) article using an author profile trained on your writing samples, then check its status until the draft is ready.

  • Manage brand context. Read and update the project Brain: your website, about text, brand voice, key messages, ideal customer and competitors.

  • Build and query chatbots. Create a chatbot, train it on text, URLs, sitemaps or your Appie articles, and ask it questions.

  • Create and track short links. Make links on s.appie.run and see clicks and unique visitors for the last 30 days.

Try asking your AI client

  • "Write a light article on onboarding emails for SaaS in our brand voice, and tell me when it's done."

  • "Create a support chatbot and train it on our sitemap."

  • "Make a short link for our pricing page and show me last month's clicks."

  • "Find Reddit threads where people ask for alternatives to our competitors, and draft a reply for the best one."

  • "Track this LinkedIn profile and list the latest leads."

Tools

21 tools across short links, articles, the Brain, chatbots, Reddit and LinkedIn.

Tool

What it does

Cost

create_short_link

Creates a short link on s.appie.run, with an optional custom code

1 credit

link_stats

Clicks, uniques and a 30-day series for one link

Free

create_article

Starts a light or deeply researched article in an author's voice (async)

100 or 500 credits

article_status

Status and content of one article

Free

list_authors

Lists author profiles and their samples

Free

create_author

Creates an author, optionally with a first writing sample

See docs

add_author_sample

Adds a text or blog-URL sample to an author (up to 5)

See docs

get_brain

Reads the project's brand context

Free

update_brain

Updates selected brand context fields

See docs

list_chatbots

Lists chatbots and their training status

Free

create_chatbot

Creates a chatbot with optional prompt, model and temperature

Free

add_chatbot_content

Adds text, URL, sitemap or article knowledge to a chatbot

See docs

chatbot_status

Training status and recent sources for one chatbot

Free

ask_chatbot

Sends a message to a chatbot and returns its reply

1 credit

get_reddit_settings

Reads Reddit keywords, competitors and reply guidance (seeded from the Brain if nothing is saved)

Free

update_reddit_settings

Sets Reddit keywords, competitors or reply guidance (up to 25 items per list)

Free

list_reddit_mentions

Lists Reddit threads for saved keywords and competitors, with the latest reply draft

Free to list; a scan runs at most once a day for 10 credits

draft_reddit_reply

Drafts a reply for one Reddit thread; you post it yourself

2 credits

get_linkedin_profiles

Lists the LinkedIn profiles the project tracks

Free

set_linkedin_profile

Adds or updates a tracked LinkedIn profile

Free to save; scheduled scans cost 30 credits

list_linkedin_leads

Lists leads, with email and phone once a lookup has found them

Free to list; lookups cost 5 credits per lead

Every tool result includes credits_remaining. Writes spend the project's credits first, then the project owner's.

Permissions and errors

A key can only call tools for apps the person who generated it is allowed to use. Project owners can use every app. Regenerating a key revokes the old one immediately.

Error

Meaning

HTTP 401

Missing or revoked key

app_not_allowed

The key's owner can't use that app

insufficient_credits

Not enough credits (includes required and available)

author_profile_required / writing_sample_required

Add an author with a writing sample before create_article

not_found

The link or article isn't in this project

Agent Skills

This repo also ships five agent skills in skills/:

  • appie-reddit-marketing: find Reddit threads for your keywords and competitors and draft replies you post yourself

  • appie-linkedin-growth: track LinkedIn profiles and list leads

  • appie-article-writer: light or deeply researched articles in your voice

  • appie-chatbot: build, train and chat with project chatbots

  • appie-url-shortener: short links and click stats

Install them with:

npx skills add appierun/appie-mcp

Or in Claude Code:

/plugin marketplace add appierun/appie-mcp
/plugin install appie-skills@appie

Documentation

Full reference: appie.run/docs/mcp

License

MIT, see LICENSE.

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