GenPark Merkle DAG State Verifier

io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 25, 2026

Cryptographic Merkle tree verification engine for agent state transitions, tool call histories, and

VerifiedSTDIODesktop onlyDeveloper ToolsSecurity & Monitoring

Overview

AI-generated overview

A local MCP server that verifies Merkle tree and DAG state transitions, tool call histories and audit logs for tamper evidence.

What you can do
Verify Merkle tree and DAG state transitions for agent workflows, checking that recorded states are consistent and unaltered. Check tool call histories and tamper-evident audit logs against their cryptographic roots. Run deterministic in-memory verification with no external dependencies, and use the same code as a Python module or as a local MCP server.
When to use it
Useful when an assistant works with agent state, tool call records or audit logs and you want cryptographic proof that they were not altered, especially in workflows that need a self-contained verifier with no third-party packages.
Requirements
Runs as a local process over stdio, started with the Python script or the packaged bundle. Requires a Python runtime; the README states it uses only the Python standard library, with no external pip dependencies. No authentication, environment variables or headers are declared.
Before you install
Verification is read-only in nature, but confirm how the server is launched and which files or records it is pointed at before use. No credentials, payments or third-party data transfer are indicated in the supplied material.

Installation

In SourceWeft

  1. Open GenPark Merkle DAG State Verifier in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

GenPark Merkle DAG State Verifier

[Official Website] [Release] [Standard Library] [License]

Cryptographic Merkle tree verification engine for agent state transitions, tool call histories, and tamper-evident audit logs.

Features

  • 100% Python Standard Library: Zero external pip dependencies. Completely self-contained and portable.
  • Enterprise Grade: Designed for mission-critical AI Agent workflows and LLM tool calling.
  • Dual MCP Protocol Compliance: Native Model Context Protocol (MCP) server implementation.
  • Microsecond Latency: Pure in-memory deterministic algorithms.

Installation & Usage

As a Python Module

python
from client import *

Run MCP Server

bash
python mcp_server.py

Community & Verification

Source: README.md at commit cde08e2

Tools

0
SourceWeft started this package once in an isolated sandbox, without credentials, to list its tools. That failed: the package type cannot run in the sandbox.

Version history

1
  1. v1.0.1LatestOct 25, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.