Arkheia MCP Server — Fabrication Detection for LLMs
Detect fabrication (hallucination) in any LLM output. Free tier included (1,500 detections/month).
Quick Start
1. Clone and install
git clone https://github.com/arkheiaai/arkheia-mcp.git ~/.arkheia-mcp
cd ~/.arkheia-mcp
pip install -r requirements.txt
2. Get an API key (free)
curl -X POST https://arkheia-proxy-production.up.railway.app/v1/provision \
-H "Content-Type: application/json" \
-d '{"email": "you@example.com"}'
3. Add to Claude Desktop
Edit your config file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"arkheia": {
"command": "python",
"args": ["-m", "mcp_server.server"],
"cwd": "~/.arkheia-mcp",
"env": {
"PYTHONPATH": "~/.arkheia-mcp",
"ARKHEIA_API_KEY": "ak_live_YOUR_KEY_HERE"
}
}
}
}
On Windows, replace ~/.arkheia-mcp with the full path (e.g. C:/Users/YourName/.arkheia-mcp).
4. Restart Claude
The arkheia_verify and arkheia_audit_log tools will appear automatically.
Tools
| Tool | Description |
|---|---|
arkheia_verify | Score any model output for fabrication risk (LOW/MEDIUM/HIGH) |
arkheia_audit_log | Review detection history |
run_grok | Call xAI Grok + screen for fabrication |
run_gemini | Call Google Gemini + screen for fabrication |
run_together | Call Together AI (Kimi, DeepSeek) + screen |
run_ollama | Call local Ollama model + screen |
memory_store / memory_retrieve / memory_relate | Persistent knowledge graph |
Pricing
- Free: 1,500 detections/month (no credit card)
- Single Contributor: $99/month (unlimited)
- Professional: $499/month (20 concurrent)
- Team: $1,999/month (50 concurrent)
Requirements
- Python 3.10+
- Git
Full Setup Guide
See AGENTS.md for detailed instructions, troubleshooting, and environment variables.
Links
- Website: https://arkheia.ai
- GitHub: https://github.com/arkheiaai/arkheia-mcp
- Support: support@arkheia.ai