Clarvia
AI agent tool discovery and scoring. Search 15,400+ MCP servers, APIs, and CLIs. Check agent-readiness scores before calling any external tool.
What is Clarvia?
Clarvia is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ai agent tool discovery and scoring. search 15,400+ mcp servers, apis, and clis. check agent-readiness scores before calling any external tool.
AI agent tool discovery and scoring. Search 15,400+ MCP servers, APIs, and CLIs. Check agent-readiness scores before calling any external tool.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- AI agent tool discovery and scoring. Search 15,400+ MCP serv
Use Cases
Maintainer
Works with
Installation
NPM
npx -y clarvia-mcp-serverManual Installation
npx -y clarvia-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Clarvia
What is Clarvia?
Clarvia is a Model Context Protocol (MCP) server that ai agent tool discovery and scoring. search 15,400+ mcp servers, apis, and clis. check agent-readiness scores before calling any external tool. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Clarvia?
Install via npm with the command: npx -y clarvia-mcp-server. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Clarvia?
Clarvia works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Clarvia free to use?
Yes, Clarvia is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Clarvia 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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