GenPark Aho-Corasick Multi-Pattern Matcher

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

High-throughput Aho-Corasick automaton for simultaneous multi-keyword dictionary matching and conten

VerifiedSTDIODesktop onlyDeveloper ToolsSecurity & Monitoring

Overview

AI-generated overview

A local MCP server that runs an Aho-Corasick automaton to match many keywords at once against text, for dictionary matching and prompt content filtering.

What you can do
Match a dictionary of keywords against supplied text in a single pass using an Aho-Corasick automaton, reporting which patterns occur and where. Apply the same matching for content filtering in LLM prompts. Run entirely in memory with deterministic, low-latency results. Use it as a Python module or start it as a local MCP server process.
When to use it
Useful when an assistant needs to check text against a large keyword or blocklist quickly, such as filtering prompts, scanning content, or detecting many terms in one pass, and you prefer a self-contained local tool with no external dependencies.
Requirements
Runs as a local process on the user's machine (desktop only) and requires 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.
Before you install
The manifest lists no tools, so the exact operations exposed to the assistant are not documented here. It is a local desktop-only package, so it cannot be used from a web client. No credentials or write actions are indicated.

Installation

In SourceWeft

  1. Open GenPark Aho-Corasick Multi-Pattern Matcher 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 Aho-Corasick Multi-Pattern Matcher

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

High-throughput Aho-Corasick automaton for simultaneous multi-keyword dictionary matching and content filtering in LLM prompts.

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 6ba61c6

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.