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GenPark Distributed Deadlock Wait-For-Graph Detector

GenPark Distributed Deadlock Wait-For-Graph Detector

Local
genpark.aiDatabases7Updated 1w ago

About GenPark Distributed Deadlock Wait-For-Graph Detector

A Python standard-library skill that detects cycles in distributed lock wait-for graphs using Tarjan's strongly connected component algorithm and selects a low-cost victim transaction. It is intended for distributed systems handling lock deadlocks.

Key features

  1. 01Wait-for graph cycle detection
  2. 02Tarjan SCC analysis
  3. 03Victim transaction arbitration
  4. 04Python standard-library implementation

Use cases

  1. 01Detect cycles in distributed lock graphs
  2. 02Choose a victim transaction during deadlock resolution

MCP support

It can be configured as an MCP server for Claude Desktop or Cursor. The README does not specify its tools or returned data.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
mcpbgenpark-distributed-deadlock-wait-for-graph-detector-skill.mcpb

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

genpark-distributed-deadlock-wait-for-graph-detector-skill

Verified by Smithery LinkedIn Website

Real-time Tarjan SCC cycle detection on lock Wait-For-Graphs with minimal-cost victim transaction arbitrator

Quick Installation & MCP Integration

Add to your Claude Desktop or Cursor configuration:

{
  "mcpServers": {
    "genpark-distributed-deadlock-wait-for-graph-detector-skill": {
      "command": "python",
      "args": ["mcp_server.py"]
    }
  }
}

Zero Dependencies

Implemented entirely in Python 3 standard library.

Comments

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