Arkheia
Detect fabrication and hallucination in any LLM output. Score responses from GPT-4o, Claude, Gemini, Llama and 30+ models. Free tier included.
What is Arkheia?
Arkheia is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to detect fabrication and hallucination in any llm output. score responses from gpt-4o, claude, gemini, llama and 30+ models. free tier included.
Detect fabrication and hallucination in any LLM output. Score responses from GPT-4o, Claude, Gemini, Llama and 30+ models. Free tier included.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Detect fabrication and hallucination in any LLM output. Scor
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @arkheia/mcp-serverManual Installation
npx -y @arkheia/mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Arkheia
What is Arkheia?
Arkheia is a Model Context Protocol (MCP) server that detect fabrication and hallucination in any llm output. score responses from gpt-4o, claude, gemini, llama and 30+ models. free tier included. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Arkheia?
Install via npm with the command: npx -y @arkheia/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 Arkheia?
Arkheia works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Arkheia free to use?
Yes, Arkheia 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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Set Up Arkheia 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 Arkheia?
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