How do I use mcp-cinii?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-cinii Search for articles about machine learning in Japanese" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

mcp-cinii

by iwaokimura

Overview Schema Related Servers Score Discussions

Python

Remote

mcp-cinii

MCP for CINII API

An MCP server that exposes CiNii Research search capabilities to LLM clients such as Claude Code.

Tools

`search_cinii`

Search CiNii Research for academic articles, books, grants, and research data.

Parameter	Type	Default	Description
`query`	string	—	Search keywords (e.g. `"機械学習"` or `"machine learning"`)
`count`	int	20	Number of results (1–200)
`start`	int	1	1-based offset for pagination
`lang`	string	`"ja"`	Response language: `"ja"` or `"en"`
`resource_type`	string	`""`	Filter: `"Article"`, `"Book"`, `"Dissertation"`, `"Data"`, `"Research Project"`, or `""` (all)

Returns CiNii Research JSON-LD response.

`get_cinii_item`

Retrieve metadata for a single CiNii Research item by its ID.

Parameter	Type	Default	Description
`item_id`	string	—	CiNii Research CRID from the item URL (e.g. `"1971993809790115224"`)
`lang`	string	`"ja"`	Response language: `"ja"` or `"en"`

Returns JSON-LD metadata for the item.

Related MCP server: crossref-mcp

Installation

pip install mcp-cinii

Configuration

CiNii Research's OpenSearch API requires an application ID (appid). Register as a developer and obtain one at CiNii - API User Registration, then set it via the CINII_APP_ID environment variable. If unset, requests are sent without appid (may be subject to stricter rate limits).

Usage with Claude Code

claude mcp add --transport stdio cinii -e CINII_APP_ID=<your-appid> -- mcp-cinii

Development

uv sync --group dev
uv run pytest

Install Server

license - permissive license

quality

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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