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GenPark Trie Prefix Keyword Matcher

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High-performance in-memory Trie and multi-keyword search engine for prompt routing and entity extrac

Source code Website Documentation

What can you do with GenPark Trie Prefix Keyword Matcher?

  • 100% Python Standard Library: Zero third-party runtime dependencies.
  • MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
  • Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

MCPB package https://github.com/Alpha-Park/genpark-trie-prefix-keyword-matcher-skill/releases/download/v1.0.1/genpark-trie-prefix-keyword-matcher-skill-v1.0.1.mcpb

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. GenPark Trie Prefix Keyword Matcher
  2. 🌟 Key Features
  3. 🚀 Installation & Usage
  4. 📄 License

GenPark Trie Prefix Keyword Matcher

High-performance in-memory Trie and multi-keyword search engine for prompt routing and entity extraction.

Part of the GenPark AI Agent Skills Ecosystem.

🌟 Key Features

  • 100% Python Standard Library: Zero third-party runtime dependencies.
  • MCP Native: Plugs directly into Claude Desktop, Cursor, LobeChat, and autonomous agent DAGs.
  • Production Resilience: Strict schema conformance, zero data loss, enterprise hardened.

🚀 Installation & Usage

Run as an MCP server:

python mcp_server.py

Use directly as a library:

from client import *

See example_usage.py for comprehensive integration demonstrations.

📄 License

MIT License. Maintained by GenPark AI.

Frequently asked questions

What is GenPark Trie Prefix Keyword Matcher?

High-performance in-memory Trie and multi-keyword search engine for prompt routing and entity extrac

How do I install GenPark Trie Prefix Keyword Matcher?

Follow the installation steps in its documentation, shown on this page and in its repository.

Does GenPark Trie Prefix Keyword Matcher need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is GenPark Trie Prefix Keyword Matcher open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains GenPark Trie Prefix Keyword Matcher?

It is published by alphaparkinc. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.