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Package Version Check MCP

作者:MShekow版本 1.1.0i★ –i在你的电脑上运行
注册名称io.github.MShekow/package-version-check-mcp

安装

概览

作者提供的说明(英文原文)

Returns the latest package / dependency / tool versions for Python, NPM, Go, Docker, Helm, etc.

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
  • 分类: 开发者工具
  • 你需要填写:GITHUB_PAT

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: GITHUB_PAT, PACKAGE_VERSION_CACHE_ENABLED

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": {
    "package-version-check": {
      "command": "uvx",
      "args": [
        "package-version-check-mcp"
      ],
      "env": {
        "GITHUB_PAT": "your-value",
        "PACKAGE_VERSION_CACHE_ENABLED": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add package-version-check --env GITHUB_PAT=your-value --env PACKAGE_VERSION_CACHE_ENABLED=your-value -- uvx package-version-check-mcp

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": {
    "package-version-check": {
      "command": "uvx",
      "args": [
        "package-version-check-mcp"
      ],
      "env": {
        "GITHUB_PAT": "your-value",
        "PACKAGE_VERSION_CACHE_ENABLED": "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": {
    "package-version-check": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "package-version-check-mcp"
      ],
      "env": {
        "GITHUB_PAT": "your-value",
        "PACKAGE_VERSION_CACHE_ENABLED": "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

  • GITHUB_PAT 机密 env
    GitHub Personal Access Token (PAT) without any scopes (avoids hitting GitHub's unauthenticated rate limits)
  • PACKAGE_VERSION_CACHE_ENABLED env
    Enable or disable the package version cache (true/false)

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 MShekow 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“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1396 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1396 个服务器的 4% 更新
  • 基础检查结果等于或优于此分类中其他 1396 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

Package Version Check MCP 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:GITHUB_PAT

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(1.1.0)于9个月前进入注册中心。

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)。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

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:★ 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

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

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。

package-version-check-mcp

A MCP server that returns the latest stable versions of packages you use as dependencies in a variety of ecosystems, such as Python, NPM, Go, or GitHub Actions.

It also supports looking up the latest versions of almost 1000 tools, such as development runtimes like python, node, dotnet, development tools like gradle, and various DevOps tools like kubectl or terraform, via the mise-en-place tool.

Why do I need this?

Whenever an AI coding agents generates files that pin dependency versions, they insert outdated versions because their training happened weeks or months ago, and new dependency versions have been released since then. As a developer, it is annoying having to manually fix these outdated versions.

This MCP fixes this problem. Use it together with an MCP such as Context7 to avoid that your AI agent produces outdated code.

Features

Supported ecosystems / tools:

  • Developer ecosystems:
  • NPM - Node.js packages from registry.npmjs.org
  • PyPI - Python packages from PyPI
  • NuGet - .NET packages from NuGet
  • Maven / Gradle - Java/Kotlin/Scala packages from Maven repositories (Maven Central, Google Maven, etc.)
  • Go - Go modules from proxy.golang.org
  • PHP - PHP packages from Packagist (used by Composer)
  • Ruby - Ruby gems from rubygems.org
  • Rust - Rust crates from crates.io
  • Swift - Swift packages from GitHub repositories
  • Dart - Dart packages from pub.dev
  • DevOps ecosystems:
  • Docker - Docker container images from Docker registries
  • Helm - Helm charts from ChartMuseum repositories and OCI registries
  • GitHub Actions - Actions hosted on GitHub.com, returning their current version, their inputs and outputs, and (optionally) their entire README with usage examples
  • Terraform _Providers_ and _Modules_ - Providers & Modules from Terraform Registry, OpenTofu Registry, or custom registries
  • Various _tools_ such as kubectl, terraform, gradle, maven, etc. supported by mise-en-place

Usage

Adding the MCP to Your Agent

There are three ways to make this MCP available to your AI coding agent:

Option 1: Use the Hosted Service (Easiest)

Point your agent to the free hosted service:

https://package-version-check-mcp.onrender.com/mcp

in (streamable) HTTP mode.

This is the quickest way to get started. Note that the hosted service may have rate limits from the underlying package registries.

Option 2: Run with uvx (for local use)

Use uvx to run the MCP server locally:

uvx package-version-check-mcp --mode=stdio

This automatically installs and runs the latest version from PyPI.

Requirements:

  • You need the mise binary on PATH if you want to call the tools get_supported_tools or get_latest_tool_versions

Optional but recommended: Set the GITHUB_PAT environment variable to a GitHub Personal Access Token (no scopes required) to avoid GitHub API rate limits.

Option 3: Run with Docker (for local use)

Use the pre-built Docker image:

docker run --pull=always --rm -i ghcr.io/mshekow/package-version-check-mcp:latest --mode=stdio

Optional but recommended: Pass the GITHUB_PAT environment variable using -e GITHUB_PAT=your_token_here to avoid GitHub API rate limits.

Caching Configuration

To improve performance and reduce API calls to package registries, you can enable caching:

  • PACKAGE_VERSION_CACHE_ENABLED: Set to true to enable caching (disabled by default)
  • PACKAGE_VERSION_CACHE_TTL_SECONDS: Cache duration in seconds (default: 3600 / 1 hour)
  • PACKAGE_VERSION_CACHE_MAX_SIZE_MB: Maximum cache size in MB (default: 64)

The cache is an in-memory TTL (Time-To-Live) cache. It resets when the MCP server restarts.

Configuring Your Agent

Once you've added the MCP server, you need to:

  1. Enable the MCP tools in your agent's configuration. The available tools are documented below
  1. Nudge the agent to use the MCP in your prompts. Most LLMs don't automatically invoke this MCP's tools without explicit guidance. Include instructions like:
  • "Use MCP to get latest versions"
  • "Check the latest package versions using the MCP tools"
  • "Use get_latest_package_versions to find the current version"

In case you forgot to add this prompt and your agent generated code with _outdated_ versions, you can just ask your agent to update the versions afterwards (e.g., "Update the dependencies you just added to the latest version via MCP").

Available Tools
get_latest_package_versions

Fetches the latest versions of packages from various ecosystems.

Input:

  • packages: Array of package specifications, where each item contains:
  • ecosystem (required): Either "npm", "pypi", "nuget", "maven_gradle", "go", "php", "rubygems", "rust", "swift", "dart", "docker", "helm", "terraform_provider", or "terraform_module"
  • package_name (required): The name of the package
  • For npm: package name (e.g., "express")
  • For pypi: package name (e.g., "requests")
  • For nuget: package name (e.g., "Newtonsoft.Json")
  • For maven_gradle: "[registry:] : " format (e.g., "org.springframework:spring-core"). If registry is omitted, Maven Central is assumed.
  • For go: Absolute module identifier (e.g., "github.com/gin-gonic/gin")
  • For php: Package name in "vendor/package" format (e.g., "monolog/monolog", "laravel/framework")
  • For rubygems: Gem name (e.g., "rails", "devise")
  • For rust: Crate name (e.g., "serde", "tokio")
  • For swift: GitHub URL (e.g., "https://github.com/Alamofire/Alamofire.git" or "github.com/owner/repo.git"). Only github.com is supported.
  • For dart: Package name from pub.dev (e.g., "http", "flutter")
  • For docker: fully qualified image name including registry and namespace (e.g., "index.docker.io/library/busybox")
  • For helm: Either ChartMuseum URL ("https://host/path/chart-name") or OCI reference ("oci://host/path/chart-name")
  • For terraform_provider: "[registry/] / " format (e.g., "hashicorp/aws" or "registry.terraform.io/hashicorp/aws"). If registry is omitted, registry.terraform.io is assumed. Supports alternative registries like registry.opentofu.org.
  • For terraform_module: "[registry/] / / " format (e.g., "terraform-aws-modules/vpc/aws" or "registry.terraform.io/terraform-aws-modules/vpc/aws"). If registry is omitted, registry.terraform.io is assumed. Supports alternative registries like registry.opentofu.org.
  • version_hint (optional):
  • For docker: tag compatibility hint (e.g., "1.36-alpine") to find the latest tag matching the same suffix pattern. If omitted, returns the latest semantic version tag.
  • For helm (OCI only): tag compatibility hint similar to Docker
  • For npm/pypi/nuget/maven_gradle/go/php/rubygems/rust/swift/dart/helm (ChartMuseum)/terraform_provider/terraform_module: not currently used

Output:

  • result: Array of successful lookups with:
  • ecosystem: The package ecosystem (as provided)
  • package_name: The package name (as provided)
  • latest_version: The latest version number (e.g., "1.2.4") or Docker tag
  • digest: (optional) Package digest/hash if available. For Docker, this is the manifest digest (sha256).
  • published_on: (optional) Publication date if available (not available for Docker)
  • lookup_errors: Array of errors with:
  • ecosystem: The package ecosystem (as provided)
  • package_name: The package name (as provided)
  • error: Description of the error
get_github_action_versions_and_args

Fetches the latest versions and metadata for GitHub Actions hosted on github.com.

Input:

  • action_names (required): Array of action names in "owner/repo" format (e.g., ["actions/checkout", "docker/login-action"])
  • include_readme (optional): Boolean (default: false), whether to include the action's README.md with usage instructions

Output:

  • result: Array of successful lookups with:
  • name: The action name (as provided)
  • latest_version: The most recent Git tag (e.g., "v3.2.4")
  • metadata: The action.yml metadata as an object with fields:
  • inputs: Action input parameters
  • outputs: Action outputs
  • runs: Execution configuration
  • readme: (optional) The action's README content if include_readme was true
  • lookup_errors: Array of errors with:
  • name: The action name (as provided)
  • error: Description of the error
get_supported_tools

Returns a list of all tool names supported by the get_latest_tool_versions MCP tool.

This tool queries the mise registry to retrieve all available tool names that can be managed by mise.

Input:

  • No parameters required

Output:

  • Array of tool short names (e.g., ["1password", "act", "node", "python", ...])
get_latest_tool_versions

Fetches the latest stable versions of development and DevOps tools supported by mise-en-place.

This tool is for tools that are NOT part of language ecosystems like PyPI or NPM. For language ecosystem packages (including Terraform providers and modules), use get_latest_package_versions instead.

Use cases:

  • gradle or maven: Pin the Gradle or Maven version in the distributionUrl in gradle-wrapper.properties or maven-wrapper.properties
  • Example: distributionUrl=https://services.gradle.org/distributions/gradle-8.5-bin.zip
  • Example: distributionUrl=https://repo.maven.apache.org/.../apache-maven-3.9.6-bin.zip
  • terraform: Pin terraform.required_version in a file like version.tf or versions.tf
  • Example: terraform { required_version = "~> 1.6.0" }
  • kubectl or azure: Pin the version in a download URL called with curl or wget, e.g., in a Dockerfile
  • Example: RUN curl -LO https://dl.k8s.io/release/v1.28.0/bin/linux/amd64/kubectl

To see all available tools, use the get_supported_tools tool.

Input:

  • tool_names (required): Array of tool names (e.g., ["terraform", "gradle", "kubectl"])

Output:

  • result: Array of successful lookups with:
  • tool_name: The tool name (as provided)
  • latest_version: The latest stable version number (e.g., "1.6.5")
  • lookup_errors: Array of errors with:
  • tool_name: The tool name (as provided)
  • error: Description of the error

Why build yet another MCP

This MCP is certainly not the first one to tackle the "outdated dependency" problem. However, we feel that it has various advantages over other MCPs:

  • We offer (far) better ecosystem coverage than other MCPs
  • There is full test coverage, with automated dependency updates (powered by Renovate) and regular, automated release builds. In contrast, other projects are often vibe coded, have poor (or no) tests, and are already abandoned, because the authors were just messing around
  • This MCP provides _several_ alternatives for how to run it locally (uvx or docker), or you can just use the free hosted offering (which other MCPs do not have)
  • This MCP uses a minimal Docker/OCI image, hardened for security. SBOMs you generate with tools like Trivy are known to be correct, and the image is signed with Cosign (which allows you to verify its authenticity in case you want to self-host the MCP)

Development

Prerequisites
mise-en-place

The MCP server depends on the mise-en-place package for looking up tool versions. See https://mise.jdx.dev/installing-mise.html for installation instructions.

Running the Server Manually (For Development)

If you're developing or testing the MCP server locally, you can run it directly.

First, follow the Package management with Poetry -> Setup instructions to configure your virtual environments.

Next:

.poetry/bin/poetry run python -m package_version_check_mcp.main

Or if you have the .venv activated:

`

只显示了开头部分;其余内容请在仓库中阅读

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