genpark-merkle-tree-state-proof-verifier-skill
OfficialClick on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@genpark-merkle-tree-state-proof-verifier-skillBuild a SHA-256 Merkle tree from these records and verify inclusion for record 3"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
genpark-merkle-tree-state-proof-verifier-skill
⚡ 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.gitThis server cannot be deployed
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