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oneconnecter-plugin vs J-Quants MCP

oneconnecter-plugin is a plugin bundle for AI coding tools published by techne-labs. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). J-Quants MCP is an MCP server published by shigechika. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-20. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
Marketplaceoneconnecter-pluginJ-Quants MCP
Claude Code: claude-plugins-community Listed
Version: 1.0.0
Forks (GitHub): 0
Stars (GitHub): 0
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 1.4.1
Downloads/month (PyPI): 517
Downloads/week (PyPI): 437
Forks (GitHub): 2
Stars (GitHub): 2
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

oneconnecter-plugin vs J-Quants MCP
Factoneconnecter-pluginJ-Quants MCP
Marketplaces that list it11
Stars (GitHub) (differs)0 (worse)2 (better)
Forks (GitHub) (differs)0 (worse)2 (better)
Last release (differs)Not published2026-10-13
Where it runs (differs)Remote server (api.oneconnecter.io/mcp)On your machine (jquants-mcp)
Transport (differs)Streamable HTTPstdio
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Parts of the bundle (differs)1Not a bundle
LicenceMITMIT
Repository (differs)github.com/techne-labs/oneconnecter-plugingithub.com/shigechika/jquants-mcp
Changes in the last 7 days (differs)04
First seen2026-10-112026-10-11
Endpoint at the last check (differs)Responded 3 days agono remote endpoint we check

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

oneconnecter-plugin

In its own words, on Claude Code: claude-plugins-community:

Real-time data for AI agents through intelligent semantic routing. Access weather, cryptocurrency prices, stock market data, commodities, and company intelligence. Instead of overwhelming Claude with dozens of tools, OneConnecter routes queries to specialized data agents - right source, every time. Features semantic caching (78% token reduction), sub-second routing, and multi-intent query splitting. Perfect for financial research, market monitoring, and any workflow needing live external data.

J-Quants MCP

In its own words, on Official MCP Registry:

MCP server for retrieving Japanese stock market data via J-Quants API v2

How to run each

oneconnecter-plugin As a Claude Code plugin

Claude Code
/plugin marketplace add anthropics/claude-plugins-community
/plugin install oneconnecter-plugin@claude-community

J-Quants MCP As a local MCP server: PyPI package

Claude Code
claude mcp add --transport stdio jquants-mcp -- uvx jquants-mcp

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Only oneconnecter-plugin has a remote endpoint we check. How we check endpoints

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

Neither one's marketplaces publish the settings it asks for.

What it can do: oneconnecter-plugin · What it can do: J-Quants MCP · Compare two other plugins

Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built