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Manage project files, Git, browser automation, and commands in one MCP platform.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ProjectsMCP" yet — see the docs or source repo.
Inspect the current project structure, find package.json and README.md, run the test command, and summarize the results.
A project file overview, test execution results, and a concise summary of issues.
Check the Git status of this repository, list uncommitted changes, the current branch, and the last three commits, then suggest next steps.
A repository status summary, recent commit overview, and actionable Git recommendations.
Open the local development site, visit the login page and dashboard, verify they load correctly, and record whether key elements are present.
A browser action log, page validation results, and notes on any detected issues.
Manage project tasks, milestones, decisions, and team messaging via MCP.
Use AI to understand codebases, key files, and project flows quickly.
Run terminal commands, execute Python, and manage files for local automation.
Analyze codebases and generate AI-ready configs for faster project customization.
Manage project analysis, code metrics, Git, docs, and files with natural language.
Analyze project architecture and detect similar code patterns for cross-language consistency.