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Access and manage engineering docs with traceable support for requirements, tests, and impact analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "EngiMCP" yet — see the docs or source repo.
Search the engineering documentation repository for requirements, design decisions, and open tasks related to the 'login failure retry mechanism', and list their relationships by document source.
A structured list of related requirements, decisions, and tasks with source documents and traced links.
If the payment service API is upgraded from v1 to v2, analyze which modules, test cases, tasks, and recorded decisions would be affected based on the existing Markdown/Git documentation.
An impact analysis summary listing affected items, dependencies, and recommended follow-up actions.
Check whether the core documented requirements in the repository have corresponding tests, identify missing coverage or incomplete traceability, and suggest what should be added.
A requirement-to-test traceability report highlighting coverage gaps and improvement suggestions.
Manage Git tasks, agent templates, and project utilities more efficiently.
Equip AI with mechanical engineering tools for calculations, conversions, and analysis.
Run local WeChat Mini Program engineering tasks, audits, blueprints, and security scans.
Manage Jira, Confluence, Git insights, and diagrams through one local MCP server.
Build, debug, and manage software tasks with natural language across LLMs.
Analyze project structure, read files, and understand codebases with context.