BumpGuard
# <img src="https://raw.githubusercontent.com/appcreationsca/bumpguard-mcp/main/assets/logo.png" alt="BumpGuard logo" height="44" align="top">BumpGuard
<!-- mcp-name: io.github.appcreationsca/bumpguard -->
**Guard your dependency bumps.** BumpGuard is a [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server that tells your AI coding agent *exactly which lines of **your** code break* when you upgrade a dependency — and verifies AI‑written code against the API that is **actually installed**, so it stops calling functions that don't exist.
It does this by **static analysis only**. BumpGuard never imports or executes third‑party code; it reads a package's real public API straight from its source.
> Docs tell your agent what *should* exist. BumpGuard tells it what *actually* exists here.
<p align="center">
<img src="https://raw.githubusercontent.com/appcreationsca/bumpguard-mcp/main/assets/demo.gif"
alt="BumpGuard check_upgrade demo: out of 2,015 breaking changes in pydantic 2.0, it flags the one (BaseSettings) that hits your code, with the fix"
width="820">
</p>
---
## Why this exists
The #1 frustration developers report with AI coding tools is code that's *"almost right, but not quite."* A huge slice of that is **API drift and hallucination**:
- The model writes `pydantic.BaseSettings` or `openai.ChatCompletion.create(...)` — perfectly valid two versions ago, **gone** in the version you have installed.
- You bump `pandas` from 1.5 to 2.2 and discover the breakage one stack trace at a time.
- A changelog lists *1,800 breaking changes*; you only care about the **three** your code actually touches.
BumpGuard closes that gap with ground truth from your environment instead of the model's memory.
---
## What it does
A real example — upgrading `pydantic` 1 → 2 in code that uses `BaseSettings`:
```jsonc
// check_upgrade(package="pydantic", to_version="2.0.3", from_version="1.10.13", code="...")
{
"safe_to_upgrade": false,
"summary": { "breaking": 1, "total_api_changes": 4919, "breaking_api_changes": 2015 },
"findings": [
{
"symbol": "pydantic.BaseSettings",
"line": 2,
"severity": "breaking",
"message": "You use 'pydantic.BaseSettings', which no longer exists in the target version...",
"suggestion": "Consider 'pydantic.v1.env_settings.BaseSettings'"
}
]
}
```
Out of **2,015** breaking API changes, BumpGuard surfaced the **one** that affects this code — with the line number and a fix hint.
---
## Tools
| Tool | What it answers |
| --- | --- |
| **`check_upgrade`** ⭐ | *"If I upgrade `package` to `to_version`, what in **this code** breaks?"* Diffs the installed (or `from_version`) API against the target and reports only the changes your code actually hits, with severity and fix hints. |
| **`diff_versions`** | *"What changed between two versions of this library?"* The raw breaking‑change list, no code scan — good for planning a migration. |
| **`verify_snippet`** | *"Do the imports and API calls in this code really exist here?"* Catches hallucinated/typo'd package names (slopsquatting) and attributes that aren't on the installed package. |
| **`check_import`** | *"Is this package installed? If not, what's the closest real name?"* |
| **`list_symbols`** | *"What's the real public API of this package?"* Discover functions/classes/methods + signatures instead of guessing — for the installed version or any fetched version. |
| **`list_languages`** | Which ecosystem providers are available. |
Every answer is grounded in evidence (installed version, source location). Because analysis is static, **"no findings" means "nothing proven to break," not a guarantee** — BumpGuard is explicit about that in its output.
---
## Install
```bash
pip install bumpguard-mcp
```
Requires Python 3.10+. The server speaks MCP over stdio.
> Install BumpGuard into the **same environment as the project you're working on**, so it sees the packages you actually have installed.
---
## Configure your MCP client
**Claude Desktop / Claude Code** (`claude_desktop_config.json`):
```json
{
"mcpServers": {
"bumpguard": {
"command": "bumpguard-mcp"
}
}
}
```
**Cursor / Windsurf / VS Code (Copilot)** — point your MCP config at the `bumpguard-mcp` command (or `python -m bumpguard.server`). Any MCP‑compatible client works.
Then ask your agent things like:
- *"Before upgrading pandas to 2.2, check whether my data pipeline breaks."*
- *"Verify this snippet actually uses the installed OpenAI SDK."*
- *"List the real methods on `httpx.Client`."*
---
## How it works
```
┌──────────────── language‑neutral core ────────────────┐
MCP tools → │ diff engine · breaking‑change classifier · analyzer │
│ (matches API changes against YOUR usage) │
└───────────────────────┬──────────────────────────────┘
│ Provider interface
┌───────────────────────┴──────────────────────────────┐
│ Python provider │ .NET (NuGet) │ Java (Maven) │
│ • AST surface │ • DLL metadata │ • jar bytecode │
│ • usage scanner │ • Roslyn scan │ • source scan │
│ • wheel fetch │ • nupkg fetch │ • jar fetch │
└──────────────────────────────────────────────────────┘
```
1. **Extract** a package's public API surface by parsing its source with Python's `ast` — for the installed version, and for the target version (downloaded as a wheel and unpacked, **never installed or executed**).
2. **Diff** the two surfaces into removed / signature‑changed / added symbols, and classify each as breaking, potentially breaking, or info.
3. **Scan** your code (also via `ast`) for usages — resolving import aliases, re‑exports, instance‑method calls, and the keyword/positional arguments each call passes.
4. **Match** usages against changes and report a precise, per‑line verdict.
**Safety:** BumpGuard never imports third‑party code, so there are no import side effects, no hangs from heavy packages, and no arbitrary code execution. Wheel downloads are sandboxed to a temp dir, time‑bounded, and guarded against path traversal / zip bombs.
---
## Multi‑language by design
BumpGuard is built around a **pluggable provider interface**. The diff engine, breaking‑change classifier, analyzer, reporting, and MCP tools are all language‑neutral; only the *surface extraction* and *usage scanning* are ecosystem‑specific.
- ✅ **Python (PyPI)** — available now.
- ✅ **.NET (NuGet)** — available now. Reads public API from assembly metadata via reflection-only loading (no code executed); needs the **.NET SDK** (`dotnet`) on PATH. A small helper is built once on first use.
- ✅ **Java (Maven)** — available now. Reads public API directly from compiled `.jar` bytecode (constant pool, access flags, descriptors) in **pure Python** — **no JDK or Maven required** and no third‑party code is executed.
- 🔜 **JS/TS (npm)** — parse `.d.ts` declarations.
Adding an ecosystem means implementing one `Provider` — see [`docs/ADD_A_PROVIDER.md`](docs/ADD_A_PROVIDER.md).
### .NET specifics (v1)
- Pass `language: "dotnet"`. Example: *"Before upgrading Azure.AI.OpenAI to 2.1.0, check whether my client code breaks (from_version 1.0.0-beta.17)."*
- Supported: `check_upgrade`, `diff_versions`, `list_symbols`, `check_import`.
- **Prefer passing `from_version`** — the "installed" baseline is taken from the NuGet global cache, which isn't your project's pinned version.
- Reliable signal: **type / method / property removals and additions** (e.g. the `OpenAIClient` → `AzureOpenAIClient` rename is caught as a breaking removal with a suggestion). Parameter-level diffs run only for **unambiguous single-overload** members; overloaded members are tracked by presence (a documented v1 limit).
- Fully-qualified references are reported confidently; short names resolved via `using` are reported as **lower-confidence "potentially breaking"** to avoid false hard-breaks from namespace collisions.
- `verify_snippet` is **not supported for .NET in v1** (accurate C# hallucination detection needs semantic binding).
### Java specifics (v1)
- Pass `language: "java"` and identify packages by their Maven **coordinate** `group:artifact` (e.g. `com.google.code.gson:gson`). Example: *"Before upgrading com.google.code.gson:gson to 2.10.1, check whether my code breaks (from_version 2.8.9)."*
- Supported: `check_upgrade`, `diff_versions`, `list_symbols`, `check_import`.
- The public API surface is read **directly from `.jar` bytecode** (the jar is a zip of `.class` files; BumpGuard parses the class‑file structure with `struct` — reading metadata, never running it). The target jar is fetched from **Maven Central** (sandboxed, size‑capped, time‑bounded). **No JDK/Maven needed.**
- **Prefer passing `from_version`** — the "installed" baseline is read from your local `~/.m2` cache, which may not match your project's pinned version.
- Reliable signal: **type / method / field / constructor removals and additions**, and arity changes. Fully-qualified references hard-break; short names resolved via `import` are reported as **lower-confidence "potentially breaking"** to avoid false hard-breaks from namespace collisions.
- Documented v1 limits: generics are **erased** in bytecode descriptors (so generic type-argument changes aren't seen); **return-type-only** changes and **varargs removal** are tracked conservatively; **overloaded** members are tracked by presence (per-overload removal isn't detected); multi-release jars use the highest version overlay. The source usage scanner is a robust heuristic, not a full parser — it can pick up a name's own *declaration* or `import` line as a reference, but these resolve to unqualified names that are capped at **"potentially breaking"** and can never produce a false hard-break. `verify_snippet` is **not supported for Java in v1** (accurate hallucination detection needs semantic binding).
---
## Known limitations (v1, Python)
BumpGuard is honest about static analysis. It may **miss** (false negatives) or, rarely, **over‑flag** (false positives):
- Dynamically generated APIs (`__getattr__` modules, plugin registries, `boto3`‑style clients). BumpGuard detects `__getattr__` modules and *suppresses* confident "missing symbol" findings under them.
- Members created at runtime that aren't visible in source.
- Compiled (C/Rust) extension internals — the Python‑level surface is still read.
- Deep instance‑flow tracking is limited to direct `x = Class(...)` patterns.
- Star re‑exports (`from .x import *`) are not expanded.
Treat findings as **high‑signal guidance**, and absence of findings as "not proven unsafe," not a guarantee.
---
## Development
```bash
git clone https://github.com/appcreationsca/bumpguard-mcp
cd bumpguard-mcp
python -m venv .venv && . .venv/Scripts/activate # Windows
pip install -e ".[dev]"
pytest
```
The test suite (42 tests) runs offline using fixture packages — no network required.
### Releasing
Releases are automated via GitHub Actions. To cut a release:
1. Bump the version in `pyproject.toml` and `src/bumpguard/__init__.py`.
2. Move the `CHANGELOG.md` "Unreleased" notes under a new version heading.
3. Commit, then tag and push:
```bash
git tag v0.1.0
git push origin v0.1.0
```
The **Release** workflow runs the tests, builds the wheel + sdist, and publishes
to PyPI via **Trusted Publishing** (OIDC — no stored tokens). The **CI** workflow
runs the test matrix (Linux + Windows, Python 3.10/3.13) on every push and PR.
---
## License
MIT — see [LICENSE](LICENSE).
TDQS
Scored across 6 tools
Each tool targets a distinct operation: checking imports, upgrade impact, version diffs, language listing, symbol listing, and snippet verification. Descriptions explicitly differentiate overlapping use cases, e.g., diff_versions vs. check_upgrade.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., check_import, list_symbols, verify_snippet), making the set predictable and easy to navigate.
Six tools cover the core concerns of dependency safety and API verification without redundancy or excessive granularity. The scope is well-matched to the server's purpose.
The tool surface covers import checking, upgrade impact, API diffing, symbol discovery, and snippet verification. Minor gaps exist (e.g., batch checks or automated fixes), but the core workflow for safe dependency bumps is complete.