The BolideAI MCP is a multi-functional server integrated with AI services, providing marketing automation, content generation, research, and project management tools to help developers and marketers optimize their workflows.
2 points
6.0K

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

๐Ÿš€ BolideAI MCP

BolideAI MCP is a comprehensive ModelContextProtocol (MCP) server that offers tools for marketing automation, content generation, research, and project management. It integrates with various AI services to streamline workflows for developers and marketers.

npm version License: MIT

โœจ Features

  • ๐Ÿš€ Project Scaffolding: Create marketing project directories and structures.
  • ๐Ÿ“ฑ Marketing Automation: Capture screenshots and videos using the companion app.
  • ๐Ÿค– AI-Powered Content Generation: Generate social media posts using Gemini AI.
  • ๐Ÿ” Research Tools: Conduct comprehensive research using Perplexity AI and OpenAI.
  • ๐Ÿ› ๏ธ Diagnostic Tools: Perform system validation and troubleshooting.

๐Ÿš€ Quick Start

Quick Start (NPM Package)

For quick testing without local builds:

Installation

npm install -g @bolide-ai/mcp

Or use with npx (recommended):

npx --package=@bolide-ai/mcp bolide-ai-mcp

Configuration

Configure your MCP client with the following:

{
  "mcpServers": {
    "BolideAI": {
      "command": "npx --package=@bolide-ai/mcp bolide-ai-mcp",
      "env": {
        "BOLIDEAI_API_KEY": "your-api-key"
      }
    }
  }
}

Development Setup (Local Build)

For development or local builds, follow these detailed steps:

1. Install Prerequisites

Install Node.js 22+

# Download and install from https://nodejs.org/en/download

Clone the repositories

git clone https://github.com/Bolide-AI/mcp

2. Build the MCP Server

# In the directory of the cloned repository
npm install && npm run build

4. Configure MCP in Cursor

  1. In the Cursor menu, select Cursor โ†’ Settings โ†’ Cursor Settings.
  2. In the opened window, select Tools & Integrations.
  3. Click New MCP Server.
  4. Insert the MCP server configuration, replacing:
    • <PATH TO MCP DIRECTORY> with the path to the MCP directory.
    • <BOLIDEAI_API_TOKEN> with your BolideAI key (can be generated at here).
{
  "mcpServers": {
    "BolideAI-dev": {
      "type": "stdio",
      "command": "node",
      "args": [
        "--inspect=9999",
        "<PATH TO MCP DIRECTORY>/build/index.js"
      ],
      "env": {
        "BOLIDEAI_MCP_DEBUG": "true",
        "BOLIDEAI_API_TOKEN": "<your-api-key-here>"
      }
    }
  }
}
  1. Make sure the workspace is open in Cursor.
  2. Launch the application in the simulator.

๐Ÿ’ป Usage Examples

Basic Usage

// Create a project
scaffold_bolide_ai_project()

// Perform research
use_openai_deep_research({ 
  query: "AI trends in marketing automation 2024" 
})

// Analyze screencast content
analyze_screencasts({ 
  screencastNames: ["demo.mov"],
  force: false
})

๐Ÿ”ง Technical Details

Environment Variables

  • BOLIDEAI_API_TOKEN: Required for research tools.
  • BOLIDEAI_API_URL: Optional, defaults to https://bolide.ai/api.

Tool Configuration

  • BOLIDEAI_MCP_DEBUG=true: Enable diagnostic tools and detailed logging.
  • Tool Groups: Enable specific tool categories (see Tool Options).
  • Individual Tools: Enable specific tools only (see Tool Options).

๐Ÿ“š Documentation

Available Tools

BolideAI MCP provides 10 tools across 5 categories:

๐Ÿš€ Project Scaffolding

  • scaffold_bolide_ai_project: Create the bolide.ai project directory structure.

๐Ÿ“ฑ Utility Tools

  • check_companion_app_status: Check the companion app running status.
  • launch_companion_app: Launch the Companion App for marketing capture.
  • stop_companion_app: Stop running companion app instances.
  • install_brew_and_ffmpeg: Install the Homebrew package manager and FFmpeg.

๐Ÿค– Content Generation

  • analyze_screencasts: Analyze screencast content using Gemini AI.
  • generate_gif: Convert screencast segments to GIFs.
  • enhance_audio: Extract and enhance audio from screencasts using ElevenLabs.

๐Ÿ” Research Tools

  • use_perplexity: Conduct research using Perplexity AI.
  • use_openai_deep_research: Perform deep research using OpenAI o4 - mini - deep - research.

๐Ÿ› ๏ธ Diagnostic Tools

  • diagnostic: Perform system environment validation (debug mode only).

Research Tools

Perplexity AI Research

Perform quick research and information gathering:

use_perplexity({ 
  query: "Latest trends in AI marketing automation",
  search_mode: "web" // or "academic"
})

OpenAI Deep Research

Conduct comprehensive research with query enrichment:

use_openai_deep_research({ 
  query: "Economic impact of renewable energy adoption" 
})

The deep research tool:

  1. Enriches your query using GPT - 4.1 with detailed research instructions.
  2. Researches using o4 - mini - deep - research with web search and code interpreter.
  3. Returns both enriched instructions and comprehensive findings.

Common Workflows

Complete Marketing Content Creation

  1. Set up project structure:
    scaffold_bolide_ai_project()
    
  2. Check app status and capture content:
    check_companion_app_status()
    launch_companion_app()
    
  3. Enhance audio quality:
    enhance_audio({ 
      screencastNames: ["demo.mov"]
    })
    

Research Workflow

  1. Quick research:
    use_perplexity({ 
      query: "Your research question",
      search_mode: "web"
    })
    
  2. Deep research:
    use_openai_deep_research({ 
      query: "Complex research topic requiring comprehensive analysis"
    })
    

Configuration Options

Selective Tool Registration

Enable only the tools you need to optimize performance:

{
  "env": {
    "BOLIDEAI_MCP_GROUP_RESEARCH": "true",
    "BOLIDEAI_MCP_GROUP_CONTENT_GENERATORS": "true",
    "BOLIDEAI_API_TOKEN": "your-api-key"
  }
}

Available Tool Groups

  • BOLIDEAI_MCP_GROUP_LAUNCH: Launch and utility tools.
  • BOLIDEAI_MCP_GROUP_SCAFFOLDING: Project scaffolding tools.
  • BOLIDEAI_MCP_GROUP_CONTENT_GENERATORS: Content generation tools.
  • BOLIDEAI_MCP_GROUP_RESEARCH: Research and information gathering tools.
  • BOLIDEAI_MCP_GROUP_DIAGNOSTICS: Diagnostic tools.

System Requirements

Dependencies

  • Node.js 22+
  • ffmpeg (required for GIF generation tools)
  • Companion App

Troubleshooting

Enable Debug Mode

{
  "env": {
    "BOLIDEAI_MCP_DEBUG": "true"
  }
}

Run Diagnostics

diagnostic() // Available in debug mode

Common Issues

  1. Missing API Keys: Ensure all required environment variables are set.
  2. ffmpeg Not Found: Install ffmpeg using brew install ffmpeg.
  3. Permission Issues: Check file system permissions for project directories.

Contributing

We welcome contributions! Please see our Contributing Guide for details.

๐Ÿ“„ License

MIT ยฉ Data Route LLC

Support


BolideAI MCP - Streamline your marketing automation and research workflows with AI - powered tools.

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