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CKS MCP Server
Verifiable knowledge for LLMs — no more fake citations
Your LLM just cited a professor who doesn't exist. CKS makes that mechanically impossible. 19 tools give AI a verifiable knowledge backbone: semantic search, type-safe ontologies, cryptographic source verification, and field-level auto-merge — all triggered by plain English in Claude Desktop. No coding, no API keys, no cloud. Just a conversation. And suddenly your AI can't bluff anymore. Open source. MIT. Install: pip install cks-mcp.
Hey Product Hunt! 👋
I built CKS because I got tired of LLMs inventing citations to fictional professors.
A year ago, I asked an AI assistant to write a report. It produced a beautifully
formatted document with a citation to "Dr. Z, Journal of Advanced Studies, 2025."
The problem? Dr. Z doesn't exist. The journal doesn't exist.
So I built a platform that makes this mechanically impossible. CKS gives LLMs a
"canonical knowledge backbone" — every fact, every source, every relationship
between concepts must be explicitly structured, validated, and cryptographically
signed before the model can claim it as true.
What started as a simple anti-hallucination tool has grown into a 19-tool
knowledge laboratory with:
- Semantic search with real embeddings (HuggingFace models)
- Type-safe ontologies (it literally catches "Earth orbits Pasta")
- Mermaid graph visualization (renders natively in Claude Desktop)
- Cryptographic source verification
- Full version history with branching and three-way merging
- Field-level auto-merge that resolves conflicts when two agents edit
different fields of the same object
Everything runs locally via MCP (Model Context Protocol) — just install and
connect to Claude Desktop. No API keys, no cloud, no coding required.
94 tests, MIT license, fully open-source. I'd love your feedback and ideas!
Ask me anything about knowledge graphs, LLM hallucinations, or why
"Earth orbits Pasta" is my favorite bug report. 🍝
About CKS MCP Server on Product Hunt
“Verifiable knowledge for LLMs — no more fake citations”
CKS MCP Server was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #56 on the daily leaderboard. Your LLM just cited a professor who doesn't exist. CKS makes that mechanically impossible. 19 tools give AI a verifiable knowledge backbone: semantic search, type-safe ontologies, cryptographic source verification, and field-level auto-merge — all triggered by plain English in Claude Desktop. No coding, no API keys, no cloud. Just a conversation. And suddenly your AI can't bluff anymore. Open source. MIT. Install: pip install cks-mcp.
On the analytics side, CKS MCP Server competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how CKS MCP Server performed against the three products that launched closest to it on the same day.
Who hunted CKS MCP Server?
CKS MCP Server was hunted by Vladyslav. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of CKS MCP Server including community comment highlights and product details, visit the product overview.
Vladyslav