GenPark Distributed Lease Lock Coordinator

io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 26, 2026

In-memory distributed lease lock with monotonically increasing fencing tokens preventing multi-agent

VerifiedSTDIODesktop onlyDeveloper ToolsAI & ML

Overview

AI-generated overview

A local MCP server providing an in-memory lease lock with monotonically increasing fencing tokens to keep multiple agents from racing on shared work.

What you can do
  • Coordinate agents with an in-memory distributed lease lock and fencing tokens
  • Issue monotonically increasing fencing tokens so stale holders can be detected
  • Run as a local MCP server or be imported directly as a Python library
  • No tool list is published, so exact operations must be confirmed from the package itself
When to use it
Worth adding when several agents or processes may act on the same resource and you need a simple lease-based lock with fencing tokens to avoid race conditions, rather than a durable lock service.
Requirements
Runs as a local process on the user's machine (desktop only), started with Python; the README states it uses only the Python standard library, with no declared environment variables, headers or authentication.
Before you install
The lock state is in memory, so it does not survive a restart and is not shared across machines; treat it as coordination within one process or host, not a durable distributed lock. No tools, credentials or write behaviour are documented, so review the package before use.

Installation

In SourceWeft

  1. Open GenPark Distributed Lease Lock Coordinator 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 Distributed Lease Lock Coordinator

[License: MIT] [Python Standard Library] [Model Context Protocol] [GenPark]

In-memory distributed lease lock with monotonically increasing fencing tokens preventing multi-agent race conditions.

Part of the GenPark AI Agent Skills Ecosystem.


🌟 Key Features

  • 100% Python Standard Library: Zero third-party runtime dependencies.
  • MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
  • Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.

🚀 Installation & Usage

Run as an MCP server:

bash
python mcp_server.py

Use directly as a library:

python
from client import *

See example_usage.py for comprehensive integration demonstrations.

📄 License

MIT License. Maintained by GenPark AI.

Source: README.md at commit 582cf23

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.1LatestOct 20, 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.