mcp-server-azure-devops
june-2025-coding-agent-report
| mcp-server-azure-devops | june-2025-coding-agent-report | |
|---|---|---|
| 1 | 1 | |
| 289 | 36 | |
| 3.5% | - | |
| 9.4 | 4.5 | |
| about 1 month ago | about 2 months ago | |
| TypeScript | TypeScript | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mcp-server-azure-devops
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MCP is eating the world–and it's here to stay
We use an outdated on-premise version of Azure DevOps (nee. Team Foundation Server) for our sorry excuse of task management. We also use some horrible plugin for time tracking so our bosses can be sure we're keeping the seat warm for the correct amount of time.
I forked [this existing MCP server for azure devops](https://github.com/Tiberriver256/mcp-server-azure-devops) but I had to make a lot of changes to have it work on our env and I also added some tools for working with that shitty time tracking plugin.
june-2025-coding-agent-report
What are some alternatives?
coderunner - A secure local sandbox to run LLM-generated code using Apple containers [Moved to: https://github.com/instavm/coderunner]
pew-pew-cli - Lightweight CLI tool enabling collaborative Markdown task list management between developers and AI agents.
void
contextmax - 🚀 Browser-based tool for creating reusable sets of context for LLM. Improve response quality & time and reduce token usage. Privacy-first, works with any LLM (Claude, GPT-4, Gemini). Stop re-explaining your codebase to AI (and your team members).
n8n-mcp - A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you
continue - ⏩ Ship faster with Continuous AI. Build and run custom agents across your IDE, terminal, and CI