appcreationsca/bumpguard-mcp
by Various
Guard your dependency bumps: an MCP server that tells your AI agent which parts of YOUR code break when you upgrade a dependency, and verifies AI-written code against the installed
MCP
appcreationsca/bumpguard-mcp
Added 16 June 2026
Overview
Bumpguard-mcp is an MCP server that uses static analysis to detect which parts of your code will break when a dependency is upgraded. It also verifies AI-written code against the currently installed API to ensure compatibility. The tool never executes third-party code.
Best for
Best for
Developers using AI coding assistants who want to safely upgrade Python dependencies
Use cases
- Check if upgrading a dependency introduces breaking changes in existing code
- Validate code generated by an AI agent against the actual API of installed packages
- Get targeted feedback on specific lines that must be changed for a dependency update
How to use
Install
pip install bumpguard-mcp Tools exposed
check_upgradediff_versionsverify_snippetcheck_importlist_symbolslist_languages
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, ChatGPT
Example client config
{\n "mcpServers": {\n "bumpguard": {\n "command": "bumpguard-mcp"\n }\n }\n} Notes
Bumpguard-mcp is an MCP server that uses static analysis to detect which parts of your code will break when a dependency is upgraded. It also verifies AI-written code against the currently installed API to ensure compatibility. The tool never executes third-party code.
0 stars on GitHub. Last updated 2026-06-16. Licensed MIT.
Use cases
- Check if upgrading a dependency introduces breaking changes in existing code
- Validate code generated by an AI agent against the actual API of installed packages
- Get targeted feedback on specific lines that must be changed for a dependency update
Pros
- Zero runtime risk because it only performs static analysis
- Provides concrete, line-level feedback for dependency upgrades
- Integrates with AI coding assistants via the Model Context Protocol
Cons
- Very new project with no community adoption (0 GitHub stars)
- Limited to Python projects only
- Static analysis cannot catch runtime or dynamic compatibility issues
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Zero runtime risk because it only performs static analysis
- Provides concrete, line-level feedback for dependency upgrades
- Integrates with AI coding assistants via the Model Context Protocol
Cons
- Very new project with no community adoption (0 GitHub stars)
- Limited to Python projects only
- Static analysis cannot catch runtime or dynamic compatibility issues
Pairs with
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