AIGigLab MCP Server

AIGigLab MCP Server

Enables AI assistants to interact with the AIGigLab API for lead generation, LinkedIn automation, voice cloning/TTS, and visual asset generation.

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@aigiglab-org/mcp-server

The official Model Context Protocol (MCP) server for AIGigLab.

This server allows AI assistants (like Claude, Cursor, and others) to natively interact with the AIGigLab API, giving them powerful capabilities to automate LinkedIn, generate B2B leads, synthesize AI voices, compose music, and create visual thumbnails.

🚀 Getting Started

Prerequisites

You need an AIGigLab API Key.

  1. Sign up or log in at aigiglab.com.
  2. Grab your API Key from the developer dashboard here: https://aigiglab.com/developers/api-keys.

Installation via Cursor

To connect this MCP server to your Cursor IDE:

  1. Open Cursor Settings -> Features -> MCP
  2. Click + Add new MCP server
  3. Configure it as follows:
    • Type: command
    • Name: AIGigLab
    • Command: npx -y @aigiglab-org/mcp-server
    • Environment Variables:
      • Name: AIGIGLAB_API_KEY, Value: YOUR_API_KEY_HERE

Installation via Claude Desktop

Add the following configuration to your Claude Desktop claude_desktop_config.json file:

{
  "mcpServers": {
    "aigiglab": {
      "command": "npx",
      "args": [
        "-y",
        "@aigiglab-org/mcp-server"
      ],
      "env": {
        "AIGIGLAB_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

🛠️ Features & Use Cases

Once installed, your AI assistant will automatically discover the tools and use them when you ask it to perform tasks.

👔 LinkedIn Automation

  • View Configuration: get_linkedin_config to see the current automation schedules, topics, and tone.
  • Update Strategy: update_linkedin_config to change how often you post, target audience, and posting topics.
  • Instant Posting: trigger_linkedin_post_now to force the AI to instantly generate and publish a post.
  • View History: get_linkedin_post_history to retrieve recent posts made to your profile or pages.
  • Manage Pages: get_linkedin_pages and set_linkedin_post_target to switch between automating your personal profile vs. your company pages.

Example prompt: "Update my LinkedIn config to post 3 times a week about AI Automation, and then trigger a post right now."

🎯 Lead Generation (Google Maps)

  • Start Scraping: scrape_leads allows the AI to search for businesses in specific regions (e.g., "coffee shops in London").
  • Track Campaigns: get_campaign_status and list_lead_campaigns to monitor the scraping progress.
  • Retrieve Data: get_leads_by_batch to fetch the finalized leads (emails, phone numbers, websites, and ratings).

Example prompt: "Start a lead generation campaign for dental clinics in New York, tell me when it's done, and get the results."

🎙️ AI Voice Cloning & Synthesis (ElevenLabs & FishAudio)

  • Voice Discovery: elevenlabs_get_voices and fish_list_models to browse available high-quality voices.
  • Voice Cloning: elevenlabs_create_voice and fish_create_model to clone a custom voice from an audio sample.
  • Speech Generation: elevenlabs_generate_speech and fish_synthesize_voice to turn text into highly realistic spoken audio.
  • Audio History: elevenlabs_get_history to redownload past generations.

Example prompt: "Use my cloned voice to generate a welcome greeting for my new podcast episode."

🎵 Music Composition

  • Composition Plans: create_composition_plan to architect the structure and lyrics for an AI music track.
  • Render Music: compose_music to transform your plan (or a direct prompt) into a fully rendered MP3 song.

Example prompt: "Create a composition plan for an upbeat synthwave track with a driving bassline, and then compose the music."

🖼️ Thumbnails & Assets

  • Asset Storage: upload_asset and list_assets to manage logos, references, and audio files on your AIGigLab account.
  • Thumbnail Generation: generate_thumbnail and get_thumbnail_history to design stunning, high-retention YouTube thumbnails from a prompt or reference image.

Example prompt: "Generate a YouTube thumbnail for my video about learning AI in 10 minutes, using a curiosity-driven concept."

📄 License

This project is licensed under the MIT License.

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