teamcity-mcp and mcp-jfrog
About teamcity-mcp
Daghis/teamcity-mcp
Model Context Protocol (MCP) server for JetBrains TeamCity: control builds, tests, agents and configs from AI coding assistants.
Implements 87 MCP tools spanning two operational modes—Dev (safe CI/CD operations like build triggering and log inspection) and Full (complete infrastructure management including build config creation and parameter CRUD). Built with Node.js using a singleton TeamCity REST API client, Zod for input validation, and centralized configuration with sensiti
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.
Implements 16+ MCP tools spanning artifact lifecycle management (AQL querying, repository CRUD), build and runtime visibility, and Xray vulnerability scanning—exposing JFrog's multi-product platform through a standardized protocol. Built as a TypeScript MCP server that communicates via stdio transport with AI clients, translating natural language requests into authenticated REST API calls against Artifactory, Xray, and other JFrog services. Integrates with Claude and other MCP-compatible AI assistants, enabling conversational access to DevOps workflows like repo creation, build tracking, and container image security auditing.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work