MCP Code Review Server
PYPI · AICRAFT-CODE-REVIEW · SCANNED AUG 20
Code review as an MCP server — structured reviews with OWASP security scanning.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 2 of 34 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency35
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 2 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability75
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 132 tokens (~44/item across 3 items; 3 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
pypi · aicraft-code-review
claude mcp add goodjobwilliam-aicraft-code-review -- uvx aicraft-code-review
codex mcp add goodjobwilliam-aicraft-code-review -- uvx aicraft-code-review
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"goodjobwilliam-aicraft-code-review": {
"type": "local",
"command": [
"uvx",
"aicraft-code-review"
],
"enabled": true
}
}
} openclaw mcp add goodjobwilliam-aicraft-code-review --command uvx --arg aicraft-code-review
mcp_servers:
goodjobwilliam-aicraft-code-review:
command: "uvx"
args: ["aicraft-code-review"] {
"mcpServers": {
"goodjobwilliam-aicraft-code-review": {
"command": "uvx",
"args": [
"aicraft-code-review"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 18 Aug 26 +15
- Malware scan: unverified → pass ▲ security
- 17 Aug 26 52
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Aug 2026 · Analysed pypi/aicraft-code-review@0.1.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Dependencies 34 packages
| Packages resolved | 34 |
|---|---|
| Stale | 2 |
| Tree resolution | Complete |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
review_code ~54
Review source code for bugs, security, performance, and quality issues.
| Name | Type | Req | Description |
|---|---|---|---|
| code | string | yes | The source code to review |
| language | string | – | Programming language (python, typescript, go, rust, etc.) |
No output schema declared.
No examples provided.
review_diff ~31
Review a git diff for potential issues before merging.
| Name | Type | Req | Description |
|---|---|---|---|
| diff | string | yes | The git diff output to review |
No output schema declared.
No examples provided.
review_file ~47
Review a local file for code quality and security issues.
| Name | Type | Req | Description |
|---|---|---|---|
| language | string | – | Programming language (auto-detect if not provided) |
| path | string | yes | Absolute path to the file |
No output schema declared.
No examples provided.