What is SentinelScan Cloud?
SentinelScan Cloud is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to remote mcp server that returns sentiment analysis results from sentinelscan api.
Remote MCP server that returns sentiment analysis results from SentinelScan API.
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Remote MCP server that returns sentiment analysis results fr
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx io-github-vndpal-sentinelscan-cloudConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about SentinelScan Cloud
What is SentinelScan Cloud?
SentinelScan Cloud is a Model Context Protocol (MCP) server that remote mcp server that returns sentiment analysis results from sentinelscan api. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install SentinelScan Cloud?
Follow the installation instructions on the SentinelScan Cloud GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with SentinelScan Cloud?
SentinelScan Cloud works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is SentinelScan Cloud free to use?
Yes, SentinelScan Cloud is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Analytics MCP Servers
Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up SentinelScan Cloud 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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