Maasy — AI Marketing Copilot

AI marketing copilot: brand intelligence, campaigns, content, CRM, SEO, and skills for Claude.

AI & MLJavaScriptv1.3.1

@maasy-ai/mcp-server

MCP server for Maasy — connect Claude to your marketing intelligence.

Give Claude direct access to your brand DNA, campaigns, CRM, SEO, and content pipeline. Ask Claude to scan your brand, generate content, redistribute ad budget, or create marketing skills — all from Claude Desktop or Claude Code.


Quick install

Claude Desktop (one click)

Go to Maasy → Settings → API / MCP and click "Instalar en Claude Desktop". Done.

Manual setup

Step 1: Get your API key from Maasy Settings → API / MCP

Step 2: Add to your Claude Desktop config:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "maasy": {
      "command": "npx",
      "args": ["@maasy-ai/mcp-server"],
      "env": {
        "MAASY_SUPABASE_URL": "https://vdlaoswrgppbimjykugn.supabase.co",
        "MAASY_API_KEY": "msy_your_api_key_here"
      }
    }
  }
}

Step 3: Restart Claude Desktop. Maasy appears in your MCP connectors.


What you can do

Brand intelligence

  • Scan brand health: DNA completeness, campaigns, content, CRM, SEO, alerts
  • Get full brand DNA: tone of voice, ICP, value proposition, assets, references
  • List all brands with traffic-light status

Marketing actions

  • Generate on-brand social content for any platform
  • Discover SEO keywords
  • Rotate fatigued ad creatives
  • Redistribute budget between campaigns
  • Diagnose underperforming campaigns
  • Recalculate CRM lead scores
  • Fill content calendar gaps

Skills — teach Maasy new knowledge

  • Create specialized skills (e.g. "TikTok expert for pet brands")
  • List, edit, and delete existing skills
  • Maasy uses skills in the copilot automatically

Daily intelligence

  • Campaign metrics: spend, CTR, CPC, ROAS
  • CRM summary: hot leads, contacts, opportunities, pipeline value
  • Content pipeline by status and network
  • SEO/GEO visibility, mentions, citations
  • Pending alerts that need attention
  • Daily consolidated operations summary

Example prompts

Scan my brand in Maasy
What pending alerts does my brand have?
Give me campaign metrics for the last 7 days
Generate 3 Instagram posts about my main product
Create a Maasy skill about email marketing for e-commerce
Give me today's daily summary for my main brand

Tools reference

ToolDescription
maasy_list_brandsList all brands with basic info and health status
maasy_scan_brandDeep health scan across DNA, campaigns, content, CRM, SEO
maasy_get_brand_contextFull brand DNA: tone, ICP, value prop, colors, assets
maasy_get_alertsPending copilot alerts: anomalies, opportunities, gaps
maasy_get_campaign_metricsAd performance: spend, CTR, CPC, ROAS by period
maasy_get_crm_summaryCRM pipeline: hot leads, contacts, opportunities, value
maasy_get_content_pipelineContent status by network and publication state
maasy_get_seo_statusSEO/GEO scores, keyword rankings, citations
maasy_get_daily_summaryConsolidated daily summary of all operations
maasy_generate_contentGenerate on-brand content for any platform
maasy_discover_keywordsAI-powered keyword discovery for SEO
maasy_execute_actionExecute actions: reports, budget, creatives, lead scoring
maasy_list_skillsBrowse all Maasy copilot skills by category
maasy_get_skillRead a skill's full content
maasy_create_skillCreate new marketing knowledge skill
maasy_update_skillUpdate skill content, category, or priority
maasy_delete_skillRemove a skill permanently

Requirements

  • Node.js 18+
  • A Maasy account
  • Claude Desktop or any MCP-compatible client

Built by the Maasy team

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
npx -y @maasy-ai/mcp-server

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "io-github-jbelieve-maasy": {
      "command": "npx",
      "args": [
        "-y",
        "@maasy-ai/mcp-server"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

@maasy-ai/mcp-servernpm

Compatible MCP Clients

Maasy — AI Marketing Copilot works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

Learn More