JFrog MCP Server ( Experimental)
@jfrog
基本信息
关于 JFrog MCP Server
Model Context Protocol (MCP) Server for the JFrog Platform API, enabling repository management, build tracking, release lifecycle management, and more.
JFrog MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-jfrog": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@jfrog/mcp-jfrog",
"--client",
"claude"
]
}
}
}JFrog MCP Server 工具
16Platform readiness status
`key` (string): Repository key
Created repository details
`key` (string): Repository key
Created repository details
`key` (string): Repository key
Created repository details
`type` (optional string): Filter repositories by type (local, remote, virtual, federated, distribution)
List of repositories matching the filters
`folderPath` (string): Path to the folder where properties should be set
Operation result
`query` (string): The AQL query to execute. Must follow AQL syntax (e.g., items.find({"repo":"my-repo"}).include("name","path"))
Search results with metadata
List of builds
`buildName` (string): Name of the build to retrieve
Build details
概览
What is JFrog MCP Server (🧪 Experimental)?
The JFrog MCP Server (Experimental) is a deprecated Model Context Protocol (MCP) server that integrates with the JFrog Platform API to enable repository management, build tracking, release lifecycle management, and other platform operations. It was originally created as an experimental project to demonstrate JFrog's capabilities with MCP and was never officially supported or verified by JFrog.
How to use JFrog MCP Server (🧪 Experimental)?
This server is deprecated and no longer maintained. Do not use this repository for new or existing integrations. Users are directed to the official JFrog MCP Server. The README does not provide installation or configuration instructions for this deprecated server; historical content is preserved for reference only.
Key features of JFrog MCP Server (🧪 Experimental)?
- Repository management: create and manage local, remote, and virtual repositories
- Build tracking: list and retrieve build information
- Runtime monitoring: view runtime clusters and running container images
- Mission Control: view associated JFrog Platform instances
- Artifact search: execute AQL queries for artifacts and builds
- Catalog and Curation: access package info, versions, vulnerabilities, curation status
- Xray: access scan artifacts summary grouped by severity per artifact
Use cases of JFrog MCP Server (🧪 Experimental)
- Automate repository creation and management in JFrog Artifactory
- Track build history and retrieve build details across projects
- Monitor runtime environments and running container images
- Perform artifact searches using AQL for security and compliance
- Check package vulnerabilities and curation status of open-source packages
FAQ from JFrog MCP
开发工具 分类下的更多 MCP 服务器

Foremerge
naw103Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.
Vibgrate MCP
VibgrateQuery your team's drift, vulnerability, and migration data from any AI assistant. Vibgrate MCP connects Cursor, Claude, ChatGPT, Windsurf, or VS Code to Vibgrate Cloud: 51 tools for DriftScores, CVEs and EOL runtimes, up

Perfex CRM
themesicTurn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.

SSH MCP Server
hypnosisSSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.

Yocoolab
YocoolabMCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools
评论