原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Patent Checker

作者:xhighhongo41版本 1.4.1i★ –i在你的电脑上运行
注册名称io.github.xhighhongo41/patent-checker

安装

概览

作者提供的说明(英文原文)

Prior-art exploration for software projects; finds related patents, never judges infringement

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio, Streamable HTTP
  • 分类: 法律与政府数据
  • 你需要填写:PATENT_CHECKER_OPERATOR_CONSENT, PATENT_CHECKER_OPS_KEY, PATENT_CHECKER_OPS_SECRET

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: PATENT_CHECKER_OPERATOR_CONSENT, PATENT_CHECKER_OPS_KEY, PATENT_CHECKER_OPS_SECRET

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "patent-checker": {
      "command": "uvx",
      "args": [
        "patent-checker",
        "serve",
        "--transport",
        "stdio"
      ],
      "env": {
        "PATENT_CHECKER_OPERATOR_CONSENT": "your-value",
        "PATENT_CHECKER_OPS_KEY": "your-value",
        "PATENT_CHECKER_OPS_SECRET": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add patent-checker --env PATENT_CHECKER_OPERATOR_CONSENT=your-value --env PATENT_CHECKER_OPS_KEY=your-value --env PATENT_CHECKER_OPS_SECRET=your-value -- uvx patent-checker serve --transport stdio

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "patent-checker": {
      "command": "uvx",
      "args": [
        "patent-checker",
        "serve",
        "--transport",
        "stdio"
      ],
      "env": {
        "PATENT_CHECKER_OPERATOR_CONSENT": "your-value",
        "PATENT_CHECKER_OPS_KEY": "your-value",
        "PATENT_CHECKER_OPS_SECRET": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "patent-checker": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "patent-checker",
        "serve",
        "--transport",
        "stdio"
      ],
      "env": {
        "PATENT_CHECKER_OPERATOR_CONSENT": "your-value",
        "PATENT_CHECKER_OPS_KEY": "your-value",
        "PATENT_CHECKER_OPS_SECRET": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • PATENT_CHECKER_OPERATOR_CONSENT 必填 env
    Version of the operator notice you accepted; run `patent-checker serve --show-operator-notice`
  • PATENT_CHECKER_OPS_KEY 机密 env
    EPO OPS credentials; leave unset for degraded mode
  • PATENT_CHECKER_OPS_SECRET 机密 env
    EPO OPS credentials; leave unset for degraded mode

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 xhighhongo41 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“法律与政府数据”中的其他服务器比较i

  • 星标数多于此分类中其他 1759 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1759 个服务器的 49% 更新
  • 基础检查结果等于或优于此分类中其他 1759 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Patent Checker 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:PATENT_CHECKER_OPERATOR_CONSENT, PATENT_CHECKER_OPS_KEY, PATENT_CHECKER_OPS_SECRET

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.4.1)于32天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv), Docker。

有什么可以替代它?

同一分类中有:Tolca, TRON USDT Risk Checker, DutyKit

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Tolca

Web search + clean page text with sha256 proof, and company, sanctions and licence checks (x402)

作者:tolca.tonbot.ca起步阶段今天更新

在云端运行✓ tolca.tonbot.ca

TRON USDT Risk Checker

TRON USDT risk: free Tether blacklist check, paid sanctions screen and AML report.

作者:chico10117起步阶段今天更新

电脑或云端

DutyKit

EU business duties for AI agents: legal obligations with sources and pre-checks (DE, LU, EU)

作者:renschrder-stack起步阶段今天更新

在云端运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Patent Checker

日本語版: README_ja.md

Patent Checker helps you explore published patents that may relate to your own software project, and to write down what you found as a dated, procedure-style report. It is meant to be run more than once on the same project — as an idea, during development, before a release, before each update: a later run searches only what is new, re-checks the patents you are monitoring, and tells you what changed since last time. It is built from two parts:

  • an MCP server that fetches public patent data (EPO Open Patent Services and Google Patents) deterministically: searches, bibliographic records, claims, legal status, patent families, plus offline helpers, and
  • an Agent Skill that drives your AI coding agent (Claude Code, Codex CLI, Cursor, Gemini CLI, GitHub Copilot CLI, OpenCode, OpenHands, Hermes Agent) through the judgment work: reading your codebase, translating its features into patent vocabulary, screening candidates and writing the report.

Patent Checker does not decide whether anything infringes a patent. Its reports contain observations, scope statements and open questions, never a verdict.

Status: stable release (v1.4).

Important notices

Please read these before you install anything. The tool asks you to acknowledge them once, and records that you did.

  • What you learn here can be used against you. A report documents that you knew of specific patents on specific dates. In some jurisdictions, notably the United States, knowledge of a patent can support a claim of willful infringement and increased damages. Dated records of how you responded can also work in your favor. Patent Checker lets you choose where its records live and whether they are tracked in version control: make that choice deliberately.
  • Search results are incomplete. No patent search is exhaustive. Coverage varies by country, language, publication stage and data source, and recent applications may be missing entirely. The absence of a document from a report is never evidence that no relevant patent exists.
  • This is a search aid, not advice. Patent Checker does not replace a qualified patent attorney or agent, and its authors accept no responsibility for decisions made, or not made, on the basis of its output. The final judgment about your project, and any response to it, is yours.

There are two notices. The user notice (the three points above) is shown by the Skill to whoever runs an exploration, and by the installer up front; your agreement is recorded locally and checked before every run. The operator notice is for whoever starts the server: it covers data-source terms, credentials, and what the server stores, and the server refuses to start until it has been acknowledged.

How it works

your agent ──(Skill: judgment)──► patent-checker MCP server ──► EPO OPS

│ │ deterministic fetch, Google Patents │ reads your code, writes │ normalization, cache ▼ the report ▼ .patent-checker/reports/… shared document cache

  1. The Skill reads your codebase, lists the technical features that could be claimed, keeps common technique (what a standard, a library or the platform ships as is) out of the search and says so in the report, translates the rest into patent vocabulary and builds search queries.
  2. The MCP server runs the queries against EPO OPS, fetches the candidate documents (claims from Google Patents, bibliography and legal status from OPS) and caches every document so nothing is fetched twice.
  3. The Skill screens the candidates in stages, maps claim elements to your features and writes a report: what was searched, what was found, how each candidate relates to your code, and what was *not* covered.
  4. The Skill also keeps a ledger of the exploration in your project (features, queries, screened families, monitored patents and a snapshot of their status). The next run starts from it: the server compares the stored snapshots with the current records, and the new report opens with a summary without patent terms followed by what changed.

The server only ever receives public patent data: search expressions, publication numbers, family identifiers, dates, and status snapshots it returned earlier. Your source code, your project description and the ledger never leave your machine: the analysis happens inside your agent.

Prerequisites

  • An AI coding agent that supports Agent Skills and MCP: Claude Code, OpenAI Codex CLI, Cursor, Gemini CLI, GitHub Copilot CLI, OpenCode, OpenHands or Hermes Agent.
  • [uv](https://docs.astral.sh/uv/) for the command-line tool and installer; uv fetches Python 3.12 or newer by itself when your machine has none. Python is also the easiest way to generate the bearer token below.
  • Docker with Compose v2, if you run the server in a container (recommended). Without Docker the server runs as an ordinary process.
  • An EPO Open Patent Services account (recommended). Register at https://developers.epo.org/, then create an app to obtain a consumer key and secret. Apply early: approval is manual and typically takes about a business day. Without it the server runs in degraded mode.

The bearer token

The server listens on HTTP, and every MCP client must present a bearer token on every request: a secret string that only your server and your own agents know. It is what stops any other program on the machine, or on the network if you ever expose the port, from using your server and your EPO OPS quota. There is no account or sign-up behind it; you make the token yourself, once, and give the same value to the server and to the installer.

Generate one (any 32 random bytes will do):

python3 -c "import secrets; print(secrets.token_urlsafe(32))"      # macOS, Linux
python -c "import secrets; print(secrets.token_urlsafe(32))"       # Windows

Where it goes:

  • Docker Compose: into the file secrets/server_token.txt next to compose.yaml.
  • Without Docker: into .env as PATENT_CHECKER_SERVER_TOKEN=… (or a file named by PATENT_CHECKER_SERVER_TOKEN_FILE).
  • Your agents: patent-checker install asks for it (or reads it from --token-file), and writes it into each agent's MCP configuration.

Without a token the HTTP server does not start. The one exception is patent-checker serve --transport stdio, which has no token because the agent starts the server as a child process running with your own permissions; that is a special case for a single local client, not the default. Treat the token like a password: keep the files that hold it private, and rotate it by writing a new value and re-running patent-checker install.

Without an EPO OPS account (degraded mode)

If you leave the OPS credentials unset (empty secrets/ops_key.txt and ops_secret.txt, or no PATENT_CHECKER_OPS_KEY in .env), the server starts in degraded mode and says so at start-up and in server_status.

  • Still works: fetching the claims of a document from Google Patents when your agent already knows its publication number, publication-number normalization, the offline helpers (deduplication, batch verification).
  • Unavailable: patent searches, bibliographic records, legal status and patent families. The Skill switches to its degraded procedure, in which your agent finds candidate publication numbers through its own web search; coverage drops, and the report says so.

Degraded mode is meant for a first look. For a real exploration, get an OPS account and restart the server with the credentials in place.

Install the server

Both routes need the operator notice acknowledged and a bearer token.

Option A: Docker Compose (recommended)
mkdir patent-checker-server && cd patent-checker-server

curl -fsSLO https://raw.githubusercontent.com/xhighhongo41/patent-checker/main/compose.yaml mkdir secrets

1. EPO OPS credentials (or leave both files empty for degraded mode)

printf '%s' 'YOUR_OPS_CONSUMER_KEY' > secrets/ops_key.txt printf '%s' 'YOUR_OPS_CONSUMER_SECRET' > secrets/ops_secret.txt

2. The bearer token (see above)

python3 -c "import secrets; print(secrets.token_urlsafe(32))" > secrets/server_token.txt chmod 600 secrets/*.txt

3. Read the operator notice (add --lang ja for Japanese), then acknowledge it

docker compose run --rm patent-checker serve --show-operator-notice echo 'PATENT_CHECKER_OPERATOR_CONSENT=1.0' >> .env

4. Start

docker compose up -d curl -fsS http://127.0.0.1:8642/health

On Windows, create the three files with PowerShell instead of printf (Set-Content writes a byte-order mark that would become part of the token, so use .NET directly):

New-Item -ItemType Directory -Force secrets | Out-Null

New-Item -ItemType File -Force secrets\ops_key.txt, secrets\ops_secret.txt | Out-Null # empty: degraded mode $token = python -c "import secrets; print(secrets.token_urlsafe(32))"

The image is published as ghcr.io/xhighhongo41/patent-checker and docker.io/xhighhongo41/patent-checker with tags X.Y.Z, X.Y and latest. The container binds 0.0.0.0 internally, but Compose publishes the port on your machine's loopback only (127.0.0.1:8642). The Host headers the server accepts are the loopback names localhost, 127.0.0.1 and ::1, which its HTTP layer always allows, plus any name you add with PATENT_CHECKER_SERVER_ALLOWED_HOSTS — nothing else. Fetched documents, search results and the request log live in the named volume patent-checker-data. The container runs as an unprivileged user on a read-only filesystem with all Linux capabilities dropped; if your Docker engine rejects one of those settings, the four lines under # Hardening in compose.yaml can be removed without changing what the server does.

The secret files are read once at start; empty OPS files mean "not configured" (degraded mode). If you run Docker Engine on Linux under an account that is not UID 1000, see the note on file ownership in secrets/README.md.

To share one server between several machines (a tailnet, a VPN, a LAN), see docs/deploy-lan.md: it covers Tailscale Serve, a TLS-terminating proxy in front of the same container, and plain HTTP on a private network, and what each leaves to you.

Option B: without Docker
uv tool install patent-checker

mkdir patent-checker-server && cd patent-checker-server curl -fsSLO https://raw.githubusercontent.com/xhighhongo41/patent-checker/main/.env.example cp .env.example .env

Then edit .env:

  1. Put the EPO OPS key and secret in PATENT_CHECKER_OPS_KEY and PATENT_CHECKER_OPS_SECRET (leave them empty for degraded mode).
  2. Generate a bearer token (see above) and put it in PATENT_CHECKER_SERVER_TOKEN.
  3. Read the operator notice with patent-checker serve --show-operator-notice (add --lang ja for Japanese) and set PATENT_CHECKER_OPERATOR_CONSENT=1.0.

A minimal .env looks like this:

PATENT_CHECKER_OPS_KEY=YOUR_OPS_CONSUMER_KEY

PATENT_CHECKER_OPS_SECRET=YOUR_OPS_CONSUMER_SECRET PATENT_CHECKER_SERVER_TOKEN=the-token-you-generated PATENT_CHECKER_

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