mcp server
ai.smithery/isnow890-data4library-mcp
책 싫어하는 제가 책에 대해 아는척하고 싶어서 만들었습니다.. 내 주변 도서관 실시간 대출 확인 읽고 싶은 책을 검색하면 주변 도서관 대출 가능 여부를 즉시 확인 굳이 도서관…
Description as published by the maintainer. Source
- version 1.0.5
- stale
stale — Most recent push to the repository was 2025-10-11.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 9 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2025-10-11 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.5 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2025-09-29 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2025-09-29 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
Bareun — Korean NLP & Spell/Grammar Checking
— last commit 2026-06-09, shares korean
Korean NLP MCP server: morphological analysis, tokenization, spell & grammar checking (Bareun)
-
A11y Check
— last commit 2026-08-06, shares korean
Web accessibility scanning (WCAG 2.2 AA + KWCAG 2.2) with Korean remediation guides
-
Korea Data Suite
— last commit 2026-07-27, shares korean
Korean public holidays, business-day math, and MOLIT real-estate transactions as MCP tools.
-
io.github.dangamsoft/cafe-mcp
— last commit 2026-06-20, shares korean
Korean Saju (Four Pillars) MCP server with 5 free birth-chart analysis tools.
-
io.github.bch1212/bizintel
— last commit 2026-05-13, shares claude-mcp, fastmcp
Local business intel for AI agents: audits, lead scoring, tech stack, prospecting.
-
Wellness Project
— last commit 2026-08-04, shares claude-mcp
63 tools for Apple Health, Fitbit, Oura & Health Connect data in Claude, ChatGPT, Grok & Mistral.
-
AI HomeDesign MCP
— last commit 2026-07-09, shares claude-mcp
MCP server to virtually stage, redesign, enhance and declutter real-estate photos.
-
Prizmad
— last commit 2026-04-30, shares claude-mcp
Generate AI UGC video ads from any product URL — avatars, voiceover, OAuth Connect.
-
UnifAPI
— last commit 2026-05-31, shares claude-mcp
Hosted MCP server for live public-data APIs and Skills for AI agents.
-
com.vaiz/mcp
— last commit 2026-08-04, shares claude-mcp
Connect AI assistants to your Vaiz workspace: tasks, projects, boards, documents and milestones.
These share tags the maintainers applied themselves, such as korean, claude-mcp, fastmcp. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: book-search, claude-mcp, data4library, fastmcp, korean, library-search, mcp-server, model-context-protocol.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab