官方说明7 个来源MCP 服务8 天前
qinisolabs/qiniso
Verify IBAN, VAT, VIN, barcodes, national an
在 GitHub 查看 ↗直链 · 无中转页
配置模板（请按你的客户端调整）
claude mcp add qiniso -- npx -y qiniso
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 1 ★ · qinisolabs/qiniso · 取自 GitHub 搜索 API · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
- 评分构成
- 综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
qinisolabs/qiniso；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
Qiniso
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
**The deterministic fact-verification layer for AI agents.**
*Verified, trustworthy data tools for AI agents. "Qiniso" means "truth" in Zulu.*
Website · npm · MCP endpoint · MCP Registry
---
Agents confidently emit IBANs, phone numbers, domains, VAT numbers and crypto addresses that are subtly — and silently — **wrong**. Qiniso checks the structured facts an agent produces against **checksums and curated authoritative data**, so a bad value is caught instead of trusted.
It's the deterministic complement to the guardrail stack: security guardrails check whether output is *safe*, structure guardrails check it's *well-formed*, and hallucination guardrails ask another LLM if it's *faithful to the prompt*. **None of them check whether a structured fact is actually correct against the real world** — because that needs computation or curated data, not another model's opinion. That's Qiniso.
> On arbitrary identifiers, a frontier LLM validates them **wrong ~91% of the time, cold and silently. Qiniso: 0%.**
Add it to Claude
Settings → Connectors → **Add custom connector**, and paste — no login, no key:
Stateless, reads no user data, requires no secrets.
Use it as a library
Every check is also a typed function — no MCP required:
What it verifies — 56 tools across 8 domains
| Domain | Tools |
| --- | --- |
| **Identifiers** | IBAN, payment card (Luhn + brand), ISBN-13, VIN, GTIN/UPC/EAN barcodes (+ GS1 country) |
| **Web / network** | TLD & domain (IANA root zone), IP, UUID, URL, email |
| **Finance** | ISIN, CUSIP, SEDOL, LEI, US ABA routing |
| **Crypto** | Ethereum (EIP-55), Bitcoin (Base58Check / Bech32) addresses |
| **National & tax IDs** | Brazil CPF/CNPJ, South Africa ID, Spain DNI/NIE, India Aadhaar, Italy, Poland, Netherlands, Belgium, Nordics, Portugal, Turkey, China, Germany Steuer-IdNr, France NIR, Switzerland AHV, Mexico CURP, Croatia OIB, Romania CNP, Bulgaria EGN, Estonia, Czech/Slovak rodné číslo, EU/UK VAT |
| **Academic** | ISBN-10, ISSN, ORCID |
| **Locale** | Phone (global), date parsing, currency, holidays (~200 countries), UK VAT-by-date |
| **Addresses** | UK/US address parsing |
Each tool wraps an authoritative method — a published checksum standard, an audited library (libphonenumber-js, jsvat, date-holidays, @noble/hashes), or curated reference data (the IANA root zone, UK VAT history).
What it is *not*
- **Not a live-data provider.** It verifies facts you give it; it does not return the current time, weather, or live exchange rates.
*Verified, trustworthy data tools for AI agents. "Qiniso" means "truth" in Zulu.*
Website · npm · MCP endpoint · MCP Registry
---
Agents confidently emit IBANs, phone numbers, domains, VAT numbers and crypto addresses that are subtly — and silently — **wrong**. Qiniso checks the structured facts an agent produces against **checksums and curated authoritative data**, so a bad value is caught instead of trusted.
It's the deterministic complement to the guardrail stack: security guardrails check whether output is *safe*, structure guardrails check it's *well-formed*, and hallucination guardrails ask another LLM if it's *faithful to the prompt*. **None of them check whether a structured fact is actually correct against the real world** — because that needs computation or curated data, not another model's opinion. That's Qiniso.
> On arbitrary identifiers, a frontier LLM validates them **wrong ~91% of the time, cold and silently. Qiniso: 0%.**
Add it to Claude
Settings → Connectors → **Add custom connector**, and paste — no login, no key:
Stateless, reads no user data, requires no secrets.
Use it as a library
Every check is also a typed function — no MCP required:
What it verifies — 56 tools across 8 domains
| Domain | Tools |
| --- | --- |
| **Identifiers** | IBAN, payment card (Luhn + brand), ISBN-13, VIN, GTIN/UPC/EAN barcodes (+ GS1 country) |
| **Web / network** | TLD & domain (IANA root zone), IP, UUID, URL, email |
| **Finance** | ISIN, CUSIP, SEDOL, LEI, US ABA routing |
| **Crypto** | Ethereum (EIP-55), Bitcoin (Base58Check / Bech32) addresses |
| **National & tax IDs** | Brazil CPF/CNPJ, South Africa ID, Spain DNI/NIE, India Aadhaar, Italy, Poland, Netherlands, Belgium, Nordics, Portugal, Turkey, China, Germany Steuer-IdNr, France NIR, Switzerland AHV, Mexico CURP, Croatia OIB, Romania CNP, Bulgaria EGN, Estonia, Czech/Slovak rodné číslo, EU/UK VAT |
| **Academic** | ISBN-10, ISSN, ORCID |
| **Locale** | Phone (global), date parsing, currency, holidays (~200 countries), UK VAT-by-date |
| **Addresses** | UK/US address parsing |
Each tool wraps an authoritative method — a published checksum standard, an audited library (libphonenumber-js, jsvat, date-holidays, @noble/hashes), or curated reference data (the IANA root zone, UK VAT history).
What it is *not*
- **Not a live-data provider.** It verifies facts you give it; it does not return the current time, weather, or live exchange rates.
- 来源
- awesome · https://github.com/qinisolabs/qiniso
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