GenPark Red-Black Tree Index

io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 25, 2026

Self-balancing Red-Black binary search tree engine for ordered indexing, range queries, and log-time

VerifiedSTDIODesktop onlyDeveloper ToolsData & Analytics

Overview

AI-generated overview

A local MCP server providing an in-memory, self-balancing red-black tree for ordered indexing, range queries and fast state updates.

What you can do
Maintain an ordered index in memory using a self-balancing red-black binary search tree, with logarithmic-time inserts and updates and range queries over sorted keys. The README describes it as a pure Python standard-library engine with no external dependencies, usable both as an MCP server and as an importable Python module. No individual tools are listed in the manifest, so the exact tool surface is not documented here.
When to use it
Useful when an assistant needs a small, deterministic in-memory ordered data structure for sorted lookups, range scans or repeated state updates during a session, rather than a persistent database.
Requirements
Runs as a local process over stdio, started with Python (the README shows running a Python server script). No authentication, environment variables or headers are declared. Desktop only; not executable in a web context.
Before you install
Data lives in memory only, so it is not durable across restarts. The README's claims of enterprise-grade and microsecond latency are unverified marketing statements. No tools are listed, so review the actual tool behavior before relying on it.

Installation

In SourceWeft

  1. Open GenPark Red-Black Tree Index 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 Red-Black Tree Index

[Official Website] [Release] [Standard Library] [License]

Self-balancing Red-Black binary search tree engine for ordered indexing, range queries, and log-time state updates in memory.

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

python
from client import *

Run MCP Server

bash
python mcp_server.py

Community & Verification

Source: README.md at commit 9eee933

Tools

0
SourceWeft started this package once in an isolated sandbox, without credentials, to list its tools. That failed: the package type cannot run in the sandbox.

Version history

1
  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.