JFrog Remote MCP Server

io.github.jfrog由 GitHub 账号 jfrog 发布v0.1.1更新于 Oct 26, 2026

MCP Server for JFrog, providing tools for development and artifact management.

发布方自己的服务:Registry Mcp

已验证Streamable HTTP可网页运行开发者工具安全与监控

概览

AI 生成的概览

远程 MCP 服务器,让 AI 编程助手连接 JFrog 平台,查询制品、构建、目录与安全信息。

可以做什么
  • 创建和查看项目、仓库及其他 JFrog 组件
  • 查找软件包及其版本、定位制品存储位置,并用 AQL 搜索构建
  • 查询目录中的软件包信息、版本、漏洞与策展(curation)状态
  • 获取 Xray 安全摘要与策略违规、查看扫描/索引状态,并追踪受某个 CVE 或软件包影响的资源
  • 提供覆盖 Access、Artifactory、Security、Curation、Distribution、AI Catalog、Grid、Workers、OneModel、Event、Evidence 和 AppTrust 的 100 多个工具
适用场景
适合希望 AI 编程助手用自然语言回答 JFrog 平台相关问题的场景,例如确认软件包是否已获批准、查看已报告的漏洞与许可证要求,或跟踪项目与制品。
运行要求
需要 JFrog Cloud(SaaS)或自管理订阅,并由管理员在某个 JPD 上启用 MCP 服务器。使用平台 URL 加 /mcp 路径连接,并通过浏览器 OAuth 流程授权。托管服务器无需 API 密钥,也无需本地安装。
安装前请注意
OAuth 会授予 MCP 客户端访问 JFrog 平台的权限,请确认授权的范围。部分工具会创建或修改项目、仓库等资源。Beta 工具属实验性,需按环境启用;远程服务器的工具集会随服务端更新而变化。

安装

在 SourceWeft 中

  1. 打开 控制台中的 JFrog Remote MCP Server,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.jfrog%2Fjfrog-mcp-server/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "jfrog-remote": {
      "type": "http",
      "url": "https://myplatform.jfrog.github.io/mcp"
    }
  }
}

README

[MCP Client]

JFrog Remote MCP Server

The Model Context Protocol (MCP) connects AI systems with external tools, data, and services using a standardized, lightweight interface.

JFrog MCP Server empowers developers, bringing the advanced capabilities of the JFrog platform to the development environment. The JFrog MCP Server integrates with IDEs and AI coding assistants such as VS Code, Cursor, Claude, Kiro, and Codex to respond to natural-language AI queries with rich, actionable information from the JFrog platform.

Among the capabilities you can access with direct, friendly AI interactions:

  • Resource Management: Create and view projects, repositories, and other JFrog components.
  • Artifact & Build Discovery: Find packages and their versions, locate where artifacts are stored, and search builds using AQL.
  • Catalog and Curation: Access package information, versions, and vulnerabilities, and check curation status.
  • Security Monitoring: Get Xray security summaries and policy violations for artifacts, check an artifact's scan/indexing status, and trace every resource impacted by a specific CVE or package.

Use these resources and real-time information for various use cases. For example:

  • Ensure that only approved packages are used by developers during coding.
  • Query the JFrog Catalog about OSS package versions, changes in reported vulnerabilities, and license requirements.
  • Track and manage JFrog Projects and artifacts.

And much more. See the full tool reference for everything the server exposes.

Note: The JFrog MCP Server is now generally available (GA) on JFrog Cloud (SaaS). The self-managed server is in Beta. Individual tools marked Beta in the tool reference are experimental and must be enabled for your environment.

Remote Server Implementation

The JFrog MCP Server is hosted on JFrog Cloud, and the tools it provides to the client are continuously updated — you automatically get new features and improvements as they are released, with no installation or upgrade required on the client side.

You connect to the JFrog MCP Server using OAuth for authentication. This eliminates the need to manage API keys.

Note: Because this is a remote server, the tool set evolves on the server. The TOOLS.md reference reflects the current tool surface.

Set up the JFrog MCP Server

The JFrog Remote MCP Server is generally available (GA) to JFrog users with a Cloud (SaaS) subscription.

Subscription information: Supported on the Cloud (SaaS) and Self-Managed platforms for all licenses.

Self-Managed (Beta): A self-managed JFrog MCP Server is also available. See MCP Server Installation for Helm and Docker Compose deployment.

  1. An Admin user must enable the JFrog MCP Server on a JPD in the subscription.
  2. You can then add the JFrog MCP Server to an MCP client.
  3. Save the configuration file.
  4. Restart or refresh your MCP client. An OAuth window opens in your browser.
  5. Follow the prompts to authorize your MCP client to access the JFrog MCP Server.

In the examples below, replace <JFROG_PLATFORM_URL> with your JFrog platform URL (for example, https://mycompany.jfrog.io).

Visual Studio Code

json
{  "mcp": {    "servers": {      "jfrog": {        "url": "https://<JFROG_PLATFORM_URL>/mcp"      }    }  }}

Cursor

json
{  "mcpServers": {    "jfrog": {      "url": "https://<JFROG_PLATFORM_URL>/mcp"    }  }}

For more MCP clients (Kiro, Claude, Codex, and others), see Add the JFrog MCP Server to an MCP client.

Tools

The server exposes over 100 tools across Access, Artifactory, Security, Curation, Distribution, AI Catalog, Grid, Workers, OneModel, Event, Evidence, and AppTrust.

See the full reference in TOOLS.md.

Documentation

来源:README.md,提交 4df9a99

工具

0
SourceWeft 尚未读取此服务器的工具。

版本历史

1
  1. v0.1.1最新Sep 16, 2026

评分

已满足适用检查项的 40%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分

    请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。

  • 已声明认证方式必需10 分

    请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。

  • 已列出工具15 分

    请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。

  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

    请在仓库或注册中心条目中声明许可证。

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