teamcity-mcp and mcp-jfrog
These are ecosystem siblings, as both are independent Model Context Protocol (MCP) server implementations for different CI/CD platforms (TeamCity and JFrog Platform), providing a standardized interface for AI coding assistants to interact with their respective systems.
About teamcity-mcp
Daghis/teamcity-mcp
Model Context Protocol (MCP) server for JetBrains TeamCity: control builds, tests, agents and configs from AI coding assistants.
This project allows software developers to manage their CI/CD processes within JetBrains TeamCity directly from their AI coding assistants. It takes commands given in natural language within the AI assistant and translates them into actions like triggering builds, checking test failures, or managing build configurations. The primary users are developers leveraging AI assistants to streamline their software development and operations workflows.
About mcp-jfrog
jfrog/mcp-jfrog
Model Context Protocol (MCP) Server for the JFrog Platform API, enabling repository management, build tracking, release lifecycle management, and more.
This tool helps DevOps and software release managers orchestrate software components within the JFrog Platform. It takes in configurations for repositories, build pipelines, and access controls, and outputs managed repositories, tracked builds, and organized project environments. It's designed for professionals who manage the lifecycle of software artifacts.
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