GenPark Levenshtein Fuzzy Tool Matcher

io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 24, 2026

Fast Levenshtein distance and fuzzy similarity matcher autocorrecting hallucinated LLM tool calls

VerifiedSTDIODesktop onlyDeveloper ToolsAI & ML

Overview

AI-generated overview

Local MCP server that computes Levenshtein distance and fuzzy similarity to autocorrect hallucinated LLM tool calls.

What you can do
  • Computes Levenshtein edit distance between strings.
  • Scores fuzzy similarity to match near-miss names.
  • Autocorrects hallucinated LLM tool calls by matching them to the intended tool.
When to use it
Worth adding when an assistant or agent pipeline frequently emits slightly wrong tool names or arguments and you want a local fuzzy-matching step to correct them before dispatch.
Requirements
Runs as a local stdio process on the desktop, installed from an MCP bundle package. No authentication, environment variables or headers are declared.
Before you install
No tools, README or instructions are published, so the exact inputs and correction behavior cannot be verified before installing. It is desktop-only and not web-executable.

Installation

In SourceWeft

  1. Open GenPark Levenshtein Fuzzy Tool 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

This repository has no README.

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 24, 2026

Score

25% 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

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • License10 pts

    Declare a license in the repository or the registry entry.