Ambivo
Provides access to Ambivo API endpoints for natural language querying of entity data through a Model Context Protocol server with JWT authentication.
What is Ambivo?
Ambivo is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides access to ambivo api endpoints for natural language querying of entity data through a model context protocol server with jwt authentication.
Provides access to Ambivo API endpoints for natural language querying of entity data through a Model Context Protocol server with JWT authentication.
This server falls under the Security and Knowledge & Memory categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Provides access to Ambivo API endpoints for natural language
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ambivo-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Ambivo
What is Ambivo?
Ambivo is a Model Context Protocol (MCP) server that provides access to ambivo api endpoints for natural language querying of entity data through a model context protocol server with jwt authentication. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Ambivo?
Follow the installation instructions on the Ambivo GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Ambivo?
Ambivo works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Ambivo free to use?
Yes, Ambivo 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 Security MCP Servers
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Set Up Ambivo 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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