Is the kordoc MCP server actively maintained?

The kordoc MCP server was last committed today and has 1 contributor. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

kordoc MCP Server

Name: chrisryugj/kordoc
Rating: 3.6 (1 reviews)
Author: chrisryugj

chrisryugj/kordoc

Score: 65.9 Rank #586 MCP Server

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모두 파싱해버리겠다 — HWP/HWPX/PDF → Markdown | npm · CLI · MCP Server

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Overview

chrisryugj/kordoc is a TypeScript MCP server licensed under MIT. 모두 파싱해버리겠다 — HWP/HWPX/PDF → Markdown | npm · CLI · MCP Server Topics: cli, document-parser, hancom, hwp, hwpx, korean, markdown, mcp, parser, pdf.

Ranked #586 out of 28002 indexed tools.

In the top 3% of all indexed tools.

Actively maintained with commits in the last week.

Ecosystem

TypeScript MIT 1,141 npm/wk

clidocument-parserhancomhwphwpxkoreanmarkdownmcpparserpdf

Score Breakdown

Stars 15% 228

228 stars → growing community

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads 13% 1,141/wk

1,141 weekly installs → gaining traction

PyPI Downloads N/A

Forks 12

Description Good

License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

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Contributors medium impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 228
Forks: 12
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: TypeScript
License: MIT
Last Commit: today

Matched Queries

"mcp server""mcp-server"

From the README

# kordoc

**모두 파싱해버리겠다** — The Korean Document Platform.

> *Parse, compare, extract, and generate Korean documents. HWP, HWPX, PDF — all of them.*

[한국어](./README-KR.md)

---

## What's New in v1.6.0

- **Cluster-Based Table Detection (PDF)** — Detects borderless tables by analyzing text alignment patterns. Baseline grouping + X-coordinate clustering identifies 2+ column tables that line-based detection misses. Sort-and-split clustering for order-independent results.
- **Korean Special Table Detection** — Automatically detects `구분/항목/종류`-style key-value patterns common in Korean government documents and converts them to structured 2-column tables.
- **Korean Word-Break Recovery** — Improved merging of broken Korean words in PDF table cells. Handles character-level PDF rendering (micro-gaps between Hangul characters) and cell line-break artifacts up to 8 characters.
- **Empty Table Filtering** — Tables with all-empty cells (from line detection of decorative borders) are now automatical

Read full README on GitHub →