GenPark Markdown Table AST Normalizer
LocalAbout GenPark Markdown Table AST Normalizer
GenPark Markdown Table AST Normalizer is a Python library and MCP server for normalizing Markdown tables and exporting them as CSV or JSON records. It is suited to workflows that need consistent table formatting and structured output.
Key features
- 01AST-based table normalization
- 02Column rebalancing and padding
- 03RFC 4180 CSV export
- 04JSON record export
- 05Python standard-library runtime
Use cases
- 01Standardizing uneven Markdown tables
- 02Converting tables to CSV records
- 03Preparing table data as JSON
MCP support
It runs as an MCP server and provides Markdown table normalization and CSV or JSON export capabilities to MCP clients.
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 Markdown Table AST Normalizer
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:
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.
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.