Verified knowledge base for AI agents — stop hallucinations with certified facts.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"swiss-truth": {
"args": [
"-y",
"mcp-remote",
"https://swisstruth.org/mcp"
],
"command": "npx"
}
}
}Are you the author?
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Verified knowledge infrastructure for AI agents — certified facts, not hallucinations.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'swiss-truth-langchain' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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Verified knowledge infrastructure for AI agents — certified facts, not hallucinations.
Swiss Truth is a human + AI validated knowledge base purpose-built for AI agents. Every fact passes a 5-stage validation pipeline, carries a confidence score, verified source URLs, and a SHA256 integrity hash. Connect in 30 seconds. No API key required.
| Problem | Swiss Truth Tool |
|---|---|
| 🧠 LLM hallucination on factual questions | search_knowledge — 2000+ certified facts, 30 domains |
| 📎 Cannot cite sources or verify citations | get_citations — inline + APA with verified URLs |
| ⏰ Stale training data on fast-changing topics | check_freshness — detect outdated facts |
| ⚖️ Non-compliant responses in regulated domains | check_regulatory_compliance — FINMA, BAG, GDPR, EU AI Act |
| ✅ Verify multiple claims before sending a response | verify_claims_batch — up to 20 claims in parallel |
| 🔍 Full response hallucination risk | verify_response — low / medium / high risk score |
{
"mcpServers": {
"swiss-truth": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://swisstruth.org/mcp"]
}
}
}
Or directly via HTTP:
{
"mcpServers": {
"swiss-truth": {
"type": "http",
"url": "https://swisstruth.org/mcp"
}
}
}
pip install swiss-truth-langchain
from swiss_truth_langchain import SwissTruthToolkit
toolkit = SwissTruthToolkit()
tools = toolkit.get_tools() # search, verify, batch verify, citations, freshness, compliance
pip install swiss-truth-crewai
from swiss_truth_crewai import SwissTruthSearchTool, SwissTruthVerifyTool
from crewai import Agent
researcher = Agent(
role="Research Agent",
tools=[SwissTruthSearchTool(), SwissTruthVerifyTool()]
)
pip install swiss-truth-autogen
from swiss_truth_autogen import register_swiss_truth_functions
register_swiss_truth_functions(assistant, user_proxy)
# Adds: search_knowledge, verify_claim, verify_claims_batch, get_knowledge_brief
import requests
tools = requests.get("https://swisstruth.org/openai-tools.json").json()
# Ready-to-use tool definitions for OpenAI API, LlamaIndex, etc.
| Tool | Description |
|---|---|
search_knowledge | Semantic search over 2000+ certified facts. Auto-detects language (DE/EN/FR/IT/ES/ZH/AR/RU/JA/KO). Returns confidence score, source URLs, SHA256 hash. |
get_claim | Full provenance for a single claim: validator, institution, review date, SHA256. |
get_knowledge_brief | Structured, citable knowledge brief optimized for RAG pipelines. |
list_domains | Browse all 30 knowledge domains with certified claim counts. |
| Tool | Descrip