Multi-Capability Proxy
A Flask-based server that hosts multiple tools, each exposing functionalities by calling external REST APIs through a unified interface.
What is Multi-Capability Proxy?
Multi-Capability Proxy is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to flask-based server that hosts multiple tools, each exposing functionalities by calling external rest apis through a unified interface.
A Flask-based server that hosts multiple tools, each exposing functionalities by calling external REST APIs through a unified interface.
This server falls under the APIs category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Flask-based server that hosts multiple tools, each exposin
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx multi-capability-proxy-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Multi-Capability Proxy
What is Multi-Capability Proxy?
Multi-Capability Proxy is a Model Context Protocol (MCP) server that flask-based server that hosts multiple tools, each exposing functionalities by calling external rest apis through a unified interface. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Multi-Capability Proxy?
Follow the installation instructions on the Multi-Capability Proxy GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Multi-Capability Proxy?
Multi-Capability Proxy works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Multi-Capability Proxy free to use?
Yes, Multi-Capability Proxy 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 APIs MCP Servers
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Set Up Multi-Capability Proxy 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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