Lemma — Verifiable Provenance For Ai Agents

Name: Lemma — Verifiable Provenance For Ai Agents
Author: lemmaoracle

@lemmaoracle

About Lemma — Verifiable Provenance For Ai Agents

AI agents make decisions you can't audit. Lemma fixes that with zero-knowledge proofs over confidential documents — selective disclosure, on-chain provenance, no plaintext exposure. Query cryptographically verified attributes from agents in production. Built for regulated industr

#mcp #mcp-server #zero-knowledge #provenance #ai-agents #verifiable-ai #selective-disclosure #on-chain #x402 #trust-layer

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "lemma": {
      "command": "npx",
      "args": [
        "-y",
        "@lemmaoracle/mcp"
      ],
      "env": {
        "LEMMA_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

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Overview

What is Lemma — Verifiable Provenance For Ai Agents?

Lemma is a cryptographically verified truth layer for AI agents. It enables reasoning over confidential data via zero-knowledge proofs, selective disclosure, and tamper-evident provenance — while raw content stays encrypted. Every attribute an AI reads through Lemma carries permanent provenance: who issued it, which schema defined it, how it was proven, and where its verification record is anchored.

How to use Lemma — Verifiable Provenance For Ai Agents?

Install the MCP server by adding a configuration entry to Claude Desktop or any MCP-compatible agent. Use the command npx -y @lemmaoracle/mcp and set the LEMMA_API_KEY environment variable to your API key.

Key features of Lemma — Verifiable Provenance For Ai Agents

Cryptographically verified provenance for every attribute.
Zero-knowledge proofs for confidential data reasoning.
Selective disclosure of attributes while raw content stays encrypted.
Tamper-evident record anchored to a verification ledger.
Issuer, schema, proof method, and verification location permanently attached.

Use cases of Lemma — Verifiable Provenance For Ai Agents

AI agent queries verified facts from a confidential dataset without exposing raw data.
Agent selectively discloses only specific attributes from a verified credential.
Agent or application verifies the issuer and schema of

Comments

Basic information

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