dependency-remediation-mcp-server
Automates remediation of Java library vulnerabilities by processing a security advisory Excel export, scoping to a Spring Boot Maven app, applying version upgrades to pom.xml, and verifying the build.
README
Vulnerable Dependency Remediation Tool
An LLM-agnostic tool that takes a security team's vulnerability advisory (an Excel
export), scopes it to one Spring Boot Maven application's fixable Java library
findings, applies the recommended version upgrades to the project's pom.xml, and
confirms the project still builds — without a developer hand-hunting through thousands
of rows.
The product ships as an MCP (Model Context Protocol) server wrapped over a deterministic Python engine, so it imports into VS Code and IntelliJ AI assistants and works with the developer's model of choice. A plain CLI over the same engine is provided as a zero-LLM fallback.
Full design and roadmap:
docs/dependency-remediation-tool-plan_1.md
Why this exists
Dependabot, Renovate, Mend's native PRs, and OWASP Dependency-Check all scan against public CVE feeds. The gap this tool fills: it is driven by the security team's own curated advisory export as the source of truth, scoped to a single app's Java libraries, applied through one LLM-agnostic interface that runs in any team's IDE.
Scope (v1)
v1 covers Spring Boot Maven apps and stops at a green build. Raising a PR, Mend API integration, and LLM-assisted build recovery are Phase 2 (see the plan).
Transitive / BOM-managed Java findings are in scope: they're remediated via a
<dependencyManagement> version pin, verified with mvn dependency:tree (this matters
because the advisory scans the resolved artifact, so most findings are managed/transitive,
not hand-pinned <version> tags).
Non-goals (v1): no Mend/portal connection, no container/OS package remediation,
no Gradle, no automated PRs. Also deferred: <exclusions>-based surgery and auto-applying
BOM/parent upgrades (those are suggested for manual review). See the plan for the exact
boundary.
How it works
advisory.xlsx ──► filter (owner + Java + not base-image)
──► extract (DetailedName, Version, RecommendedVersion)
──► dedupe (highest RecommendedVersion wins, Maven-aware)
──► classify resolution (direct / property / managed / transitive)
──► apply to pom.xml: edit <version>/property, or add a
<dependencyManagement> pin for managed/transitive (dry-run by default)
──► mvn clean install (green) + mvn dependency:tree (resolved version check)
Architecture
Standard src/ package layout. The deterministic engine (core/) is the product;
the CLI and MCP server are thin adapters over it.
src/dep_remediation/
├── core/ # LLM-agnostic engine (the real product)
│ ├── advisory_parser.py # read Excel, filter, extract, dedupe -> normalized list [Phase 1 ✅]
│ ├── version_compare.py # Maven-aware version comparison [Phase 2 ✅]
│ ├── pom_fixer.py # classify resolution + apply upgrades to pom.xml [Phase 3 ✅]
│ └── build_runner.py # mvn clean install + dependency:tree resolution check [Phase 4 ✅]
├── cli.py # plain CLI adapter (parse / fix / verify subcommands) [✅]
└── mcp_server.py # FastMCP server (parse_advisory + apply_fixes + verify_build) [Phase 5 ✅]
Entry points (from pyproject.toml): dep-remediation (CLI) and
dep-remediation-mcp (MCP stdio server). See CLAUDE.md.
Getting started
Requires Python 3.11+ (and a Maven install — mvn on PATH or a project mvnw
wrapper — for the verify step). pyproject.toml is the single source of truth for
dependencies — works with either uv (recommended) or plain pip.
# uv
uv sync
# or pip
python -m venv .venv
.venv\Scripts\activate # Windows (source .venv/bin/activate on macOS/Linux)
pip install -e ".[dev]"
Parse an advisory (Phase 1)
# Human-readable summary (console script, or: python -m dep_remediation.cli ...)
dep-remediation parse tests/fixtures/dummy_advisory.xlsx --app app-alpha
# Machine-readable output
dep-remediation parse tests/fixtures/dummy_advisory.xlsx --app app-alpha --json
Example output:
App: app-alpha
Rows in sheet: 10
Rows for this app: 9
Java library rows: 7
Skipped (other owner): 1
Skipped (container/OS): 2
Skipped (base image): 1
Skipped (missing data): 0
Unique libraries to fix: 4
LIBRARY CURRENT -> RECOMMENDED
com.fasterxml.jackson.core:jackson-databind 2.13.0 -> 2.15.4
io.netty:netty-codec-dns 4.2.4.Final -> 4.2.13.Final
io.netty:netty-handler 4.2.4.Final -> 4.2.15.Final
org.springframework:spring-core 5.3.32 -> 6.2.11
Conflicts resolved (highest version wins): 1
io.netty:netty-handler: chose 4.2.15.Final from ['4.2.13.Final', '4.2.15.Final']
Fix a pom (Phase 3)
Classifies how each flagged library resolves in the pom and applies the upgrade —
editing a direct <version>/property, or adding a <dependencyManagement> pin for
BOM-managed/transitive libraries. Dry-run by default (prints the diff); pass
--apply to write. Idempotent and never downgrades.
# Dry-run: show the resolution log + diff (add --json for machine-readable output)
dep-remediation fix path/to/pom.xml --from-advisory tests/fixtures/dummy_advisory.xlsx --app app-alpha
# Apply the changes
dep-remediation fix path/to/pom.xml --from-advisory tests/fixtures/dummy_advisory.xlsx --app app-alpha --apply
Each finding is reported with its resolution class and the strategy applied:
Actions: 4
[transitive/add-pin] com.fasterxml.jackson.core:jackson-databind: (managed/transitive) -> 2.15.4 (added <dependencyManagement> pin)
[transitive/add-pin] io.netty:netty-codec-dns: (managed/transitive) -> 4.2.13.Final (added <dependencyManagement> pin)
[direct/edit-version] io.netty:netty-handler: 4.2.4.Final -> 4.2.15.Final
[transitive/add-pin] org.springframework:spring-core: (managed/transitive) -> 6.2.11 (added <dependencyManagement> pin)
followed by a unified diff — e.g. a parent-managed/transitive pom gets a pinned block:
+ <dependencyManagement>
+ <dependencies>
+ <!-- security pin -->
+ <dependency>
+ <groupId>io.netty</groupId>
+ <artifactId>netty-handler</artifactId>
+ <version>4.2.15.Final</version>
+ </dependency>
+ </dependencies>
+ </dependencyManagement>
Verify the build (Phase 4)
Runs mvn clean install and gates on a green build, then runs mvn dependency:tree
to confirm each finding's resolved version is actually the recommended one (a pin can be
silently overridden by a BOM). Point it at the aggregator root for a multi-module
reactor — resolution is checked across every module.
# build-only gate
dep-remediation verify ./my-app
# build + resolved-version check against the advisory
dep-remediation verify ./my-app --from-advisory tests/fixtures/dummy_advisory.xlsx --app app-alpha
# fix and verify in one shot (only chains after a successful --apply)
dep-remediation fix ./my-app/pom.xml --from-advisory tests/fixtures/dummy_advisory.xlsx --app app-alpha --apply --verify
Overall success requires the build green and every finding resolved; unresolved findings are surfaced for manual review. On failure the result carries the log tail, the failing goal, and the just-applied bumps (likely culprits) so recovery can be driven interactively. Honest limit: a green build proves the project compiles, not that a forced transitive pin is runtime-safe.
Run the tests
pytest -q
Verify version comparison (Phase 2)
python -m dep_remediation.core.version_compare # runs the built-in self-tests
Run as an MCP server (Phase 5 — parse_advisory + apply_fixes + verify_build)
The server speaks MCP over stdio, so an MCP client (VS Code / IntelliJ AI assistant, Claude Desktop, etc.) launches it. Run directly:
dep-remediation-mcp # or: uv run dep-remediation-mcp
Full setup guide (VS Code, IntelliJ, Claude Desktop configs + troubleshooting):
docs/mcp-setup.md. The protocol surface is covered bytests/test_mcp_server.py(an in-process MCP client round-trip).
Example client config (mcpServers entry):
{
"mcpServers": {
"dep-remediation": {
"command": "uv",
"args": ["--directory", "/ABSOLUTE/PATH/TO/dependency-remediation-mcp-server", "run", "dep-remediation-mcp"]
}
}
}
Tools exposed today:
parse_advisory(xlsx_path, app, base_image_filter=True)— the deduped fix list.apply_fixes(pom_path, xlsx_path, app, apply=False)— classify + apply upgrades to a pom; dry-run by default, returns the resolution log, manual-review bucket, and diff.verify_build(project_dir, xlsx_path="", app="")—mvn clean install+ (optional) resolved-version check; returns the build result with actionable failure context.
(stdio transport reserves stdout for JSON-RPC; the server logs to stderr.)
The advisory sheet
A single-tab workbook. The engine reads clean columns only — no prose parsing required for the fix:
| Field | Column | Example |
|---|---|---|
| App / owner | owner |
app-alpha |
| Language filter | Code Library Language |
Java (blank = container/OS, dropped) |
| Base-image cross-check | Base image vulnerability |
FALSE |
| Library identity | DetailedName |
org.springframework:spring-core |
| Current version | Version |
5.3.32 |
| Version to apply | RecommendedVersion |
6.2.11 |
Description carries the same facts as templated prose and is used only as a fallback
for coordinates when DetailedName is blank.
Trust & transparency
Because the tool edits other teams' code it is auditable by design:
- Dry-run by default — show the diff, apply on confirmation.
- Skipped-rows log — how many rows dropped and why.
- Conflict log — which duplicate versions were seen and which won.
- Resolution log — per finding: how it resolves (direct / property / managed /
transitive) and the strategy applied (in-place edit vs.
<dependencyManagement>pin), plus a manual-review bucket for anything not safely fixable. - Idempotent, no-downgrade edits — re-running a fix is a no-op; an existing higher version is never lowered.
- Build gating + resolved-version check — success is never claimed on a broken build,
and
mvn dependency:treemust confirm each finding actually resolved to the recommended version (a pin silently overridden by a BOM is flagged, not hidden).
Roadmap (Phase 2)
Automated PR creation → LLM-assisted build recovery → Mend API source → broader pom
coverage → CI/scale. The deterministic core/ engine and the "never claim success on a
broken build" rule are invariant. See section 13 of the plan.
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