SakuttoWorks Data Normalizer
Secure Edge Gateway for Data Normalization.
What is SakuttoWorks Data Normalizer?
SakuttoWorks Data Normalizer is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to secure edge gateway for data normalization.
Secure Edge Gateway for Data Normalization.
This server falls under the Cloud Services and Security categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Secure Edge Gateway for Data Normalization.
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx sakuttoworks-data-normalizerConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about SakuttoWorks Data Normalizer
What is SakuttoWorks Data Normalizer?
SakuttoWorks Data Normalizer is a Model Context Protocol (MCP) server that secure edge gateway for data normalization. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install SakuttoWorks Data Normalizer?
Follow the installation instructions on the SakuttoWorks Data Normalizer GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with SakuttoWorks Data Normalizer?
SakuttoWorks Data Normalizer works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is SakuttoWorks Data Normalizer free to use?
Yes, SakuttoWorks Data Normalizer is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Cloud Services MCP Servers
Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up SakuttoWorks Data Normalizer in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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