GenPark Markdown Table AST Normalizer

io.github.alphaparkincPublished by GitHub account alphaparkincv1.0.1Updated Oct 26, 2026

AST-based Markdown table normalizer rebalancing columns, padding, and exporting clean RFC 4180 CSV a

VerifiedSTDIODesktop onlyDeveloper ToolsData & Analytics

Overview

AI-generated overview

Local MCP server that normalizes Markdown tables with an AST-based approach and exports them as clean RFC 4180 CSV or JSON records.

What you can do
  • Normalize Markdown tables by rebalancing columns and padding cells
  • Export normalized tables as RFC 4180 CSV
  • Export normalized tables as JSON records
  • Run as a local MCP server or be used directly as a Python library
When to use it
Useful when an assistant works with Markdown tables that need consistent column widths and alignment, or when table content has to be converted into CSV or JSON for downstream use.
Requirements
Runs as a local process over stdio, started with a Python script; the README states it uses only the Python standard library, so no third-party packages are needed. 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; review the release bundle before installing.

Installation

In SourceWeft

  1. Open GenPark Markdown Table AST Normalizer 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 Markdown Table AST Normalizer

[License: MIT] [Python Standard Library] [Model Context Protocol] [GenPark]

AST-based Markdown table normalizer rebalancing columns, padding, and exporting clean RFC 4180 CSV and JSON records.

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:

bash
python mcp_server.py

Use directly as a library:

python
from client import *

See example_usage.py for comprehensive integration demonstrations.

📄 License

MIT License. Maintained by GenPark AI.

Source: README.md at commit 7f52a1b

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.1LatestOct 20, 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.