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GenPark Two-Phase Commit Coordinator

GenPark Two-Phase Commit Coordinator

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genpark.aiAI & Agents7Updated 4d ago

About GenPark Two-Phase Commit Coordinator

GenPark Two-Phase Commit Coordinator is a Python MCP server for coordinating distributed two-phase commit transactions. It supports atomic state mutations across multiple agents and rollback after crashes.

Key features

  1. 01Distributed two-phase commit coordination
  2. 02Atomic multi-agent state mutations
  3. 03Crash rollback
  4. 04In-memory deterministic algorithms
  5. 05Python standard library only

Use cases

  1. 01Coordinate multi-agent state changes atomically
  2. 02Roll back transactions after a crash

MCP support

It implements an MCP server that MCP clients can use to coordinate transactions. The README states dual MCP protocol compliance.

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-two-phase-commit-coordinator-skill-v1.0.1.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 Two-Phase Commit Coordinator

Official Website Release Standard Library License

Distributed Two-Phase Commit (2PC) transaction coordinator for atomic multi-agent state mutations with crash rollback.

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
from client import *
Run MCP Server
python mcp_server.py

Community & Verification

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.