Context Snipe
<div align="center">
<h1>context-snipe</h1>
<p><strong>Your AI coding assistant doesn't know your dependencies.<br/>It's guessing. This fixes that.</strong></p>
[](https://github.com/RP-Digital-Innovations/context-snipe/actions/workflows/ci.yml)
[](LICENSE)
[](https://github.com/RP-Digital-Innovations/context-snipe/releases/latest)
[](https://modelcontextprotocol.io)
<p>A ~1 MB pure-Rust binary that reads your lockfiles, cross-references every package against OSV.dev, and hands your AI a short, ranked, accurate vulnerability report — over the Model Context Protocol.</p>
**Works with:** Claude Desktop · Cursor · Windsurf · VS Code · Zed · any MCP client
---
</div>
```
$ context-snipe scan .
context-snipe — vulnerability scan
Project: ./my-api
Scanned: 412 entries (388 unique packages) from Cargo.lock, package-lock.json
FOUND 3 advisories affecting 2 of 388 package(s):
lodash 4.17.11 [npm]
[CRIT] CVE-2019-10744 Prototype Pollution in lodash
[HIGH] CVE-2021-23337 Command Injection in lodash
minimatch 3.0.4 [npm]
[HIGH] CVE-2022-3517 minimatch ReDoS vulnerability
Source: OSV.dev — packages actually in your resolved dependency tree.
```
---
## The problem
You ask Cursor or Claude: *"Does my project have any security issues?"*
It doesn't know your packages. It doesn't know your versions. It hallucinates an answer based on general knowledge — not your actual `package-lock.json`.
Your scanner (Dependabot, Snyk, whatever) floods you with 200 warnings, most of which don't apply to what you actually ship. You spend 45 minutes Googling CVEs that are irrelevant to your code.
**context-snipe closes both gaps.** It reads your *resolved* lockfiles (not your `package.json` — your actual installed packages), asks OSV.dev only about what you have, deduplicates the noise, ranks by real CVSS severity, and gives your AI a clean, accurate briefing it can actually reason about.
---
## Install in 30 seconds
**macOS / Linux** — one line, picks the right binary for your platform:
```bash
curl -fsSL https://raw.githubusercontent.com/RP-Digital-Innovations/context-snipe/main/install.sh | sh
```
**Windows** (PowerShell):
```powershell
irm https://raw.githubusercontent.com/RP-Digital-Innovations/context-snipe/main/install.ps1 | iex
```
**Rust users** — from [crates.io](https://crates.io/crates/context-snipe):
```bash
cargo install context-snipe # build from source
cargo binstall context-snipe # or grab the prebuilt binary, no compile
```
<details>
<summary>Manual download</summary>
Grab the binary for your platform from the [latest release](https://github.com/RP-Digital-Innovations/context-snipe/releases/latest):
| Platform | Asset |
|----------|-------|
| macOS (Apple Silicon) | `context-snipe-aarch64-apple-darwin` |
| macOS (Intel) | `context-snipe-x86_64-apple-darwin` |
| Linux x86_64 | `context-snipe-x86_64-linux` |
| Linux ARM64 | `context-snipe-aarch64-linux` |
| Windows x86_64 | `context-snipe-x86_64-pc-windows.exe` |
`chmod +x` it and move it onto your PATH.
</details>
**Verify:**
```bash
context-snipe --version
```
---
## Add to your AI tool (60 seconds)
### Claude Desktop
Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows):
```json
{
"mcpServers": {
"context-snipe": {
"command": "context-snipe",
"args": ["serve"]
}
}
}
```
### Cursor
Add to `~/.cursor/mcp.json`:
```json
{
"mcpServers": {
"context-snipe": {
"command": "context-snipe",
"args": ["serve"]
}
}
}
```
### Windsurf
Add to `~/.codeium/windsurf/mcp_config.json`:
```json
{
"mcpServers": {
"context-snipe": {
"command": "context-snipe",
"args": ["serve"]
}
}
}
```
**Restart your editor.** Then ask your AI: *"Check this project for vulnerable dependencies."*
---
## What your AI can now do
| MCP Tool | What it does |
|----------|-------------|
| `scan_dependencies` | Lists every resolved package in your project (name, version, ecosystem) |
| `check_vulnerabilities` | Cross-references your packages against OSV.dev — returns only advisories that affect what you actually have installed |
Your AI goes from guessing to knowing. In one tool call.
---
## Supported ecosystems
| Ecosystem | Resolved lockfile (preferred) | Fallback |
|-----------|-------------------------------|---------|
| **Rust** | `Cargo.lock` | — |
| **npm** | `pnpm-lock.yaml`, `yarn.lock`, `package-lock.json` v1–v3 | `package.json` |
| **Python** | `poetry.lock`, `uv.lock` | `requirements.txt` (pinned `==`) |
| **Go** | `go.sum` | `go.mod` |
---
## How it compares
| | context-snipe | Dependabot | Snyk | socket.dev |
|--|:--:|:--:|:--:|:--:|
| MCP native — AI gets the results directly | ✅ | ❌ | ❌ | ❌ |
| Reads resolved lockfiles (not just manifests) | ✅ | ✅ | ✅ | ✅ |
| 100% local — nothing leaves your machine | ✅ | ❌ | ❌ | ❌ |
| No account, no signup, no API key | ✅ | ❌ | ❌ | ❌ |
| Binary size | ~1 MB | N/A | 200 MB+ | N/A |
| Free, open source | ✅ | ✅ | Partial | Partial |
---
## CLI usage
```bash
context-snipe scan [PATH] # vulnerability report (defaults to current dir)
context-snipe deps [PATH] # list the full resolved dependency tree
context-snipe serve # start the MCP server over stdio
context-snipe --help
```
---
## A note on honesty
context-snipe tells you which vulnerable packages are **present in your resolved dependency tree**. It does not perform call-graph reachability analysis. Presence is not proof of exploitability — the vulnerable function may not be reachable in your code. The tool says so in its own output, by design.
No tool that runs in seconds can tell you a CVE is definitely not exploitable. We won't pretend otherwise.
---
## How it works
- **MCP engine** — hand-rolled JSON-RPC 2.0 over stdio. `initialize`, `tools/list`, `tools/call`, `ping`. stdout is the protocol channel; all diagnostics go to stderr.
- **Lockfile parsers** — TOML for Cargo, JSON for npm, custom parsers for pnpm/yarn, line parsers for requirements.txt and Go modules.
- **OSV client** — one `querybatch` call filters the full tree to packages with advisories, then a focused `query` per hit pulls details. CVSS v3.x base scores computed from vector strings. Duplicate advisories sharing a CVE are merged.
- **TLS via rustls** — pure-Rust, no OpenSSL, no system crypto dependency. Works identically on Windows, macOS, and musl Linux.
---
## Build from source
```bash
cargo build --release
# Binary at: target/release/context-snipe
```
Requires stable Rust. The release profile statically links the CRT — the binary is fully self-contained.
---
## Roadmap
- [ ] GitHub App — post CVE diffs on pull requests (shows what a PR *introduces*)
- [ ] Policy layer — configurable CI failure thresholds per severity
- [ ] More ecosystems — Ruby (Gemfile.lock), PHP (composer.lock), Java (pom.xml)
---
## Contributing
PRs welcome. The codebase is ~1,000 lines of Rust split across:
```
src/
main.rs — CLI entry, mode routing
mcp.rs — JSON-RPC / MCP server
deps.rs — lockfile parsers
osv.rs — OSV.dev client + CVSS scoring
scan.rs — orchestration + report formatting
http.rs — ureq + rustls HTTP agent
```
Good first issues: adding a new lockfile format, improving CVSS display, adding output formats (JSON, SARIF).
---
## License
MIT — free forever. No telemetry. No accounts. No cloud.
<div align="center">
<br/>
<a href="https://context-snipe.rpdi.us">Website</a> · <a href="https://github.com/RP-Digital-Innovations/context-snipe/releases">Releases</a> · <a href="https://github.com/RP-Digital-Innovations/context-snipe/issues">Issues</a>
<br/><br/>
Built by <a href="https://rpdi.us">RP Digital Innovations</a>
</div>
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one scans project dependencies and the other checks them against a vulnerability database. There is no overlap or ambiguity.
Both tools follow a clear verb_noun pattern: scan_dependencies and check_vulnerabilities, making the action and target immediately clear.
With only two tools, the server is minimal but well-scoped for its purpose. Each tool serves a necessary function, and the count is appropriate given the narrow focus.
The tool set covers the core workflow of listing dependencies and checking for known vulnerabilities. Minor gaps exist, such as lacking ability to fetch detailed advisory information or take action on findings, but the basic functionality is complete.