JFrog MCP Server enables AI assistants to interact with your JFrog Platform instance. Replace {JFROG_PLATFORM_URL} with your JFrog Platform URL after enabling the integration.
JFrog is a AI and machine learning platform that jfrog mcp server enables ai assistants to interact with your jfrog comprehensive platform instance. replace {jfrog_platform_url} with your jfrog platform url after enabling the integration.. The official JFrog MCP server enables AI agents to seamlessly interact with JFrog's platform, allowing developers to leverage AI capabilities within their existing workflows and automate complex tasks that would otherwise require manual intervention.
This official MCP server is maintained and verified by JFrog, ensuring reliability, security, and up-to-date functionality. Unlike community-maintained servers, this official integration provides long-term support, comprehensive documentation, and direct vendor assistance. The server is hosted on jfrog.com, guaranteeing secure and reliable access to JFrog's services.
Whether you're building AI-powered applications, automating workflows, or enhancing your development tools, the JFrog MCP server provides a standardized way to connect AI agents with JFrog's extensive platform capabilities. This integration enables natural language interactions with JFrog, making it easier than ever to leverage JFrog's features through AI assistants like Claude, ChatGPT, and Cursor.
https://{JFROG_PLATFORM_URL}/mcpGo to Settings → Cursor Settings
Click "Add new global MCP Server"
Paste the MCP configuration into mcp.json and restart
Or manually add to your mcp.json:
{
"mcpServers": {
"jfrog": {
"url": "https://{JFROG_PLATFORM_URL}/mcp"
}
}
}The official JFrog MCP server enables AI agents to:
These capabilities make it easy for AI agents to work with JFrog as part of a larger automation strategy, enabling seamless integration between AI assistants and your existing tools.
The JFrog MCP server provides 3 tools for AI agents to interact with the platform. Use the search below to find specific tools.
| Tool Name | Description |
|---|---|
get_build_info | Retrieve build and deployment information from JFrog |
list_artifacts | List and manage artifacts in your JFrog Platform instance |
search_repositories | Search across JFrog repositories and package registries |
Last updated: January 29, 2026 at 12:00 PM
AI agents can use the JFrog MCP server to automate repetitive tasks and manage workflows within JFrog's platform.
The MCP server allows AI agents to query and retrieve data from JFrog, enabling intelligent data analysis and insights.
Developers can integrate JFrog capabilities directly into their AI coding assistants for seamless workflows.
Visit https://jfrog.com, create an account, and generate an API key from your dashboard. Most tools offer a free tier to get started, making it easy to begin using the JFrog MCP server.
Yes, this MCP server is officially provided and maintained by JFrog. The endpoint https://{JFROG_PLATFORM_URL}/mcp is hosted on their official domain jfrog.com, ensuring reliability and security.
The JFrog MCP server requires appropriate API credentials and permissions based on the operations you want to perform. Check the documentation for specific permission requirements.
Yes, you can configure the same MCP server across Cursor, Claude Desktop, Cline, and other MCP-compatible clients simultaneously. Each client maintains its own configuration.
The MCP server itself is free to use, but you may need a JFrog account and API access, which may have its own pricing tiers. Check https://jfrog.com for current pricing information.
The JFrog MCP server enables AI agents to access AI models and perform RAG operations. JFrog MCP Server enables AI assistants to interact with your JFrog Platform instance. Replace {JFROG_PLATFORM_URL} with your JFrog Platform URL after enabling the integration. This allows you to interact with JFrog's platform through natural language commands in your AI assistant.
Ensure your API key is correctly configured and your network allows outbound connections to jfrog.com. Verify that the MCP endpoint URL https://{JFROG_PLATFORM_URL}/mcp is accessible from your network.
Verify your API key is valid and has not expired. Generate a new key from https://jfrog.com if needed. Make sure you're using the correct authentication method as specified in the documentation.
Check JFrog's status page for any ongoing incidents. Try restarting your MCP client and verify that the server endpoint is correct. If issues persist, consult the official documentation or support channels.
Explore other official MCP servers that work well with JFrog:
The Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to external APIs, tools, and data sources. This official MCP server from JFrog provides standardized access to their services, allowing AI agents to interact with JFrog's platform seamlessly.
To manage all your MCP servers in one place, use Apigene's MCP Gateway, which provides centralized management, security, and governance for all your MCP server connections.
Learn more about MCP in our complete guide or browse our FAQ for common questions.