ThinkneoAI
๐ โ๏ธ - ThinkNEO Control Plane โ Enterprise AI governance MCP server with runtime guardrails
What is ThinkneoAI?
ThinkneoAI is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ๐ โ๏ธ - thinkneo control plane โ enterprise ai governance mcp server with runtime guardrails
๐ โ๏ธ - ThinkNEO Control Plane โ Enterprise AI governance MCP server with runtime guardrails
This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP protocol support
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx thinkneoai-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about ThinkneoAI
What is ThinkneoAI?
ThinkneoAI is a Model Context Protocol (MCP) server that ๐ โ๏ธ - thinkneo control plane โ enterprise ai governance mcp server with runtime guardrails It connects AI assistants to external tools and data sources through a standardized interface.
How do I install ThinkneoAI?
Follow the installation instructions on the ThinkneoAI GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with ThinkneoAI?
ThinkneoAI works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is ThinkneoAI free to use?
Yes, ThinkneoAI 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 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 ThinkneoAI 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
Ready to use ThinkneoAI?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.