Skip to main content
Glama
Alpha-Park

genpark-merkle-tree-state-proof-verifier-skill

by Alpha-Park

genpark-merkle-tree-state-proof-verifier-skill

Python 3.9+ License MIT MCP Compatible GenPark AI Zero Dependencies


⚡ Overview & Architectural Significance

genpark-merkle-tree-state-proof-verifier-skill delivers zero-dependency, mathematically sound cryptographic attestation, zero-knowledge verification, and cybersecurity primitives engineered strictly using Python 3.9+ standard library.

🌟 Key Architectural Capabilities

  • Zero External Dependencies: Operates exclusively via pure Python (hashlib, hmac, secrets, time, json). Zero OpenSSL or C binding failures.

  • Enterprise Security Invariants: Implements formal SHA-256 Merkle root verification, RFC 7519 JWT HMAC-SHA256 signature parsing, 3-pass Schnorr zero-knowledge identification, constant-time equality validation, and sliding-window nonce replay protection.

  • Native Anthropic MCP Protocol: Compliant with standard JSON-RPC 2.0 stdio MCP specifications for Claude Desktop, Cursor, and Windsurf.


Related MCP server: genpark-merkle-tree-state-proof-verifier-skill

🏗️ Architectural Topology & State Machine

flowchart TD
    InboundPayload["Inbound Agent Request & Auth Payload"] --> ReplayGuard["Sliding-Window Nonce Replay Guard"]
    ReplayGuard --> ConstantTimeCheck["Constant-Time Secret Digest Comparison"]
    ConstantTimeCheck --> TokenValidator["JWT HMAC-SHA256 Claims Validator"]
    TokenValidator --> MerkleProof["Merkle Tree State Inclusion Proof"]
    MerkleProof --> ZKPVerification["Schnorr Zero-Knowledge Proof Verifier"]
    ZKPVerification --> SecureStateAttestation["Cryptographically Attested Agent Execution"]

🚀 Quickstart & Standalone Execution

Local Python Client Usage

from client import MerkleTreeStateProofVerifier

# Initialize engine
engine = MerkleTreeStateProofVerifier()

# Execute self-testing benchmark suite
result = engine.benchmark_merkle_verification()
print("Execution Result:", result)

🔌 One-Click MCP Integration (Claude Desktop / Cursor)

Add to your claude_desktop_config.json or cursor.json:

{
  "mcpServers": {
    "genpark-merkle-tree-state-proof-verifier-skill": {
      "command": "python",
      "args": ["-u", "/path/to/genpark-merkle-tree-state-proof-verifier-skill/mcp_server.py"]
    }
  }
}

📦 Smithery.ai & PyPI Deployment

This skill contains pre-configured smithery.yaml and pyproject.toml manifests. Install directly via pip:

pip install git+https://github.com/alphaparkinc/genpark-merkle-tree-state-proof-verifier-skill.git

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables zero-knowledge proof generation and verification, identity verification, and gate checks for privileged agent actions.
    Apache 2.0
  • -
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to construct SHA-256 Merkle trees and generate/verify inclusion proofs, validate JWT HMAC-SHA256 claims, run Schnorr zero-knowledge identification, and enforce constant-time secret comparison with nonce replay protection for tamper-evident state attestation. It runs as a zero-dependency, stdlib-only MCP stdio server for clients such as Claude Desktop, Cursor, and Windsurf.
    7
    -
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables agents to cryptographically verify JWT HMAC-SHA256 signatures, validate claims and enforce expiration, and perform Merkle inclusion proofs, Schnorr zero-knowledge identification, and nonce replay protection. Runs as a zero-dependency stdio MCP server so clients like Claude Desktop, Cursor, and Windsurf can attest execution state without OpenSSL or external libraries.
    7
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables agents to perform Schnorr zero-knowledge identification and cryptographic attestation through a native MCP interface, including commitment-challenge-response proofs, JWT validation, Merkle inclusion checks, and replay protection.
    7
    MIT