$ loading_
Provide .NET workspace agents for context retrieval, task orchestration, and repo automation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Server" yet — see the docs or source repo.
Read the current .NET workspace code, docs, and session logs, then summarize the core modules, current progress, and pending tasks with a prioritized TODO list.
A project overview, key context summary, and a prioritized TODO list.
Review recent changes in the current repository, organize files to commit, generate a conventional commit message, and draft a GitHub pull request title and description.
Suggested commit contents, a commit message, and a ready-to-use PR title and description.
Using the current workspace, create a development workflow: first retrieve relevant context, then analyze code dependencies, propose an implementation plan, and finally generate execution steps and risks.
A structured multi-stage task plan including context, dependency analysis, implementation steps, and risk notes.
Manage Git tasks, agent templates, and project utilities more efficiently.
Expose GitHub search, issue handling, and PR review to AI agents.
Use natural language to manage GitHub repos, issues, commits, and workflows.
Build AI agent workflows and automate tasks using MCP-connected services.
Run code, shell commands, and file tasks in a secure sandbox.
Lets AI call the GitHub API to manage repos, issues, and pull requests.