io.github.simonplmak-cloud/hkex-filings

hkex-filing-scraper

Live HKEx (Hong Kong Stock Exchange) regulatory filings for AI agents.

18 5 tools GitHub PyPI

No known CVEs

MIT license

Actively maintained

Last commit 11d ago

Works with most clients

Transport: http, stdio

5 tools · ~189 tok

Grade A · 0.1% of 200K ctx

MCPpedia last refreshed this data 1d ago

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io.github.simonplmak-cloud/hkex-filings is an MCP server that live HKEx (Hong Kong Stock Exchange) regulatory filings for AI agents. Its tool list has not been published yet over http and stdio, requires no API key, and scores 88/100 on MCPpedia's security, maintenance and efficiency rubric.

AI / ML Finance

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktophttp, stdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-simonplmak-cloud-hkex-filings": {
      "args": [
        "hkex-filing-scraper"
      ],
      "command": "uvx"
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-simonplmak-cloud-hkex-filings)](https://mcppedia.org/s/io-github-simonplmak-cloud-hkex-filings)

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What io.github.simonplmak-cloud/hkex-filings does

Live HKEx (Hong Kong Stock Exchange) regulatory filings for AI agents.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.

uvx 'hkex-filing-scraper' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

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Scored, not listed

Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

88/100across 5 weighted dimensions

How we score →

0255075100

−12

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked hkex-filing-scraper against OSV.dev.

Inventory

Tools (5)

Click any tool to inspect its schema.

~189 tokens total

Community

Reviews

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.simonplmak-cloud/hkex-filings safe to use?: io.github.simonplmak-cloud/hkex-filings has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install io.github.simonplmak-cloud/hkex-filings?: io.github.simonplmak-cloud/hkex-filings supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.simonplmak-cloud/hkex-filings do?: io.github.simonplmak-cloud/hkex-filings provides 5 tools: Features, Documentation, Development, Contributing, License. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.simonplmak-cloud/hkex-filings?: io.github.simonplmak-cloud/hkex-filings is compatible with claude-desktop, cursor, claude-code. It uses http and stdio transport.
Is io.github.simonplmak-cloud/hkex-filings actively maintained?: io.github.simonplmak-cloud/hkex-filings is actively maintained - last commit was 11 days ago. It has 18 GitHub stars.

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Community

Discussion

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Overview

The US has EDGAR full-text search. Japan has EDINET. Hong Kong has a search form that returns one page at a time. There is no bulk, machine-readable, full-text corpus of HKEx filings. This builds one.

An open-source Python tool that scrapes 25+ years of Hong Kong Stock Exchange (HKEx) regulatory filings and ingests them into any combination of nine databases — with full-text and table extraction, chunk-level coverage, optional graph linking, and a read-only MCP server so AI agents can query the corpus or the live site.

It speaks the undocumented HKEx JSON API directly, which is faster and more resilient than driving a browser.

Vendors & Integrations

Databases — nine first-class destinations, in documented popularity order (see the support matrix):

PostgreSQL — production-grade open-source relational

MySQL / MariaDB — GPL relational servers, one driver

SQLite — zero-server file database, no install needed

MongoDB — document database

Neo4j — property-graph database

ClickHouse — columnar analytics engine

DuckDB — in-process analytical engine

SurrealDB — multi-model graph + document database

Hosted MCP gateway

Local pipeline

What

A public endpoint you point an AI agent at

The `hkex-scra

Frequently Asked Questions

Is io.github.simonplmak-cloud/hkex-filings safe to use?

io.github.simonplmak-cloud/hkex-filings has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.

How do I install io.github.simonplmak-cloud/hkex-filings?

io.github.simonplmak-cloud/hkex-filings supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.simonplmak-cloud/hkex-filings do?

io.github.simonplmak-cloud/hkex-filings provides 5 tools: Features, Documentation, Development, Contributing, License. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.simonplmak-cloud/hkex-filings?

io.github.simonplmak-cloud/hkex-filings is compatible with claude-desktop, cursor, claude-code. It uses http and stdio transport.

Is io.github.simonplmak-cloud/hkex-filings actively maintained?

io.github.simonplmak-cloud/hkex-filings is actively maintained - last commit was 11 days ago. It has 18 GitHub stars.

HKEx Filing Scraper

An open-source scraper for 25+ years of HKEx regulatory filings — into any of nine databases, with full-text extraction, graph linking, and a read-only MCP server for AI agents.

Overview

It speaks the undocumented HKEx JSON API directly, which is faster and more resilient than driving a browser.

Vendors & Integrations

Databases — nine first-class destinations, in documented popularity order (see the support matrix):

PostgreSQL — production-grade open-source relational
MySQL / MariaDB — GPL relational servers, one driver
SQLite — zero-server file database, no install needed
MongoDB — document database
Neo4j — property-graph database
ClickHouse — columnar analytics engine
DuckDB — in-process analytical engine
SurrealDB — multi-model graph + document database

AI clients — any MCP-capable agent; ready-made configuration for Claude, ChatGPT, Cursor, VS Code/Copilot, Gemini CLI, opencode, Manus, and Perplexity.

Available on — PyPI · Glama · MCP Registry · hosted gateway.

Two Ways to Use It

	Hosted MCP gateway	Local pipeline
What	A public endpoint you point an AI agent at	The `hkex-scra

... View full README on GitHub