GenPark Distributed Lease Lock Coordinator
LocalAbout GenPark Distributed Lease Lock Coordinator
GenPark Distributed Lease Lock Coordinator provides in-memory distributed lease locks with monotonically increasing fencing tokens to prevent race conditions among multiple agents. It is intended for coordinating concurrent agent work.
Key features
- 01In-memory distributed lease locks
- 02Monotonically increasing fencing tokens
- 03Python standard library only
Use cases
- 01Coordinating concurrent agents
- 02Preventing multi-agent race conditions
MCP support
Exposes distributed lease locking to MCP clients as an MCP server. It can also be used directly as a Python library.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGenPark Distributed Lease Lock Coordinator
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:
python mcp_server.py
Use directly as a library:
from client import *
See example_usage.py for comprehensive integration demonstrations.
📄 License
MIT License. Maintained by GenPark AI.
Comments
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