About GenPark Red-Black Tree Index
GenPark Red-Black Tree Index is an in-memory self-balancing binary search tree engine for ordered indexing, range queries, and state updates. It is intended for AI Agent workflows and runs as an MCP server.
Key features
- 01Self-balancing red-black tree
- 02Ordered indexing
- 03Range queries
- 04In-memory state updates
- 05Python standard library only
Use cases
- 01Maintain ordered in-memory indexes
- 02Query ranges in indexed data
- 03Update state in AI Agent workflows
MCP support
It implements a native MCP server that MCP clients can run with `python mcp_server.py`.
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 Red-Black Tree Index
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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
from client import *
Run MCP Server
python mcp_server.py
Community & Verification
- Organization: alphaparkinc
- Homepage: https://www.genpark.ai
Comments
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.