
GenPark Two-Phase Commit Coordinator
io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 25, 2026
Distributed Two-Phase Commit (2PC) transaction coordinator for atomic multi-agent state mutations wi
The publisher's own server: PHASE MIND
Overview
A local Python MCP server that coordinates two-phase commit transactions so multiple AI agents can make atomic state changes with crash rollback.
- What you can do
- Coordinate two-phase commit transactions across multiple agents for atomic state mutations, with rollback on crash. Run as a self-contained Python standard-library module with no external dependencies. Operate as a native MCP server over stdio with in-memory, deterministic algorithms. The manifest lists no individual tools, so specific operations are not documented.
- When to use it
- Use it when several agents must change shared state together and you need all-or-nothing commits with rollback if a participant crashes. It suits experimental multi-agent workflows rather than general-purpose tasks.
- Requirements
- Runs as a local process on the user's machine (desktop only) over stdio. Needs 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.
Installation
In SourceWeft
- Open GenPark Two-Phase Commit Coordinator in the dashboard and add it to a workspace.
- 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 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
Run MCP Server
Community & Verification
- Organization: alphaparkinc
- Homepage: https://www.genpark.ai
Source: README.md at commit 2fb7e66
Tools
0Version history
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.
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