Server data from the Official MCP Registry
Deterministic SAST/SCA findings + fix guidance for your AI agent. Runs locally, no account needed.
About
Deterministic SAST/SCA findings + fix guidance for your AI agent. Runs locally, no account needed.
Security Report
Valid MCP server (2 strong, 4 medium validity signals). 2 code issues detected. No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 3 finding(s) downgraded by scanner intelligence.
15 files analyzed · 3 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: SPHIOR_API_KEY
Environment variable: SPHIOR_WORKSPACE
Environment variable: SPHIOR_API_BASE
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-toraastrta-sphior-code-mcp": {
"env": {
"SPHIOR_API_KEY": "your-sphior-api-key-here",
"SPHIOR_API_BASE": "your-sphior-api-base-here",
"SPHIOR_WORKSPACE": "your-sphior-workspace-here"
},
"args": [
"-y",
"sphior-code-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
SPHIOR CODE
Deterministic secrets and insecure-pattern (CWE) detection for VS Code, JetBrains IDEs, the command line, and CI — running entirely on your machine.
No AI. No source upload. No telemetry. The same input always produces the same findings.
Try it in 10 seconds
No install, no account, no config:
npx @sphior/scan run .
SPHIOR CODE: 3 findings (critical=1 high=1 medium=1 low=0) 1 files scanned
engine=0.1.0 ruleset=2026.10.20-23
In a terminal you get a table sorted by severity. Piped, you get SARIF — so
npx @sphior/scan run . | jq works, and --sarif out.sarif is accepted by GitHub
code scanning.
Give findings to the coding assistant you already use, via MCP:
npx sphior-code-mcp # or add it from the MCP registry: io.github.Toraastrta/sphior-code-mcp
Editors: VS Code · JetBrains · Open VSX
Why this exists
Most code scanners either ship your source to a server, or ask a language model what it thinks. Both make results hard to trust: you cannot reproduce them, and you cannot explain them to an auditor.
This one is deterministic. Every finding comes from a rule with a stable id, a CWE mapping, and a fingerprint derived from the code itself. Run it twice, get the same answer. Run it on someone else's machine, get the same answer.
What it finds
- Hard-coded secrets — provider signatures plus entropy checks, across 36 rules (AWS, GCP, GitHub, Stripe, Slack, OpenAI, Anthropic, …). Only masked previews are ever emitted; raw values never leave the process.
- Insecure code patterns mapped to CWE — 84 rules covering command injection,
eval, XSS sinks, disabled TLS verification, weak crypto, unsafe deserialization, path traversal, SSRF, and more. - Data-flow (taint) analysis for JavaScript/TypeScript — tracks untrusted input from source
to sink, so
db.query("… " + req.query.id)is reported as SQL injection rather than a generic string-concatenation warning.
Languages
JavaScript, TypeScript (+ JSX/TSX), Python, Go, PHP, Ruby, Java, C#, Rust, Kotlin, C, C++, Scala, Swift — 14 languages, parsed with real grammars (tree-sitter), not regex alone.
Regex rules are used only where a parser adds nothing. When a language has an AST backend, the parser-based results take precedence and the regex equivalents are suppressed, which keeps false positives down.
Detection is regression-gated in CI against a fixed corpus: a rule change that loses a detection, or that starts firing on a known-safe variant, fails the build rather than shipping quietly.
What it does not do
- It does not chase injection recall in static analysis. Proving that untrusted input reaches a sink across a whole codebase is what dynamic testing is for. We would rather be silent than guess.
- It is not a penetration test. Auditors do not accept scanner output as one, and we do not present it as one.
- It does not judge compliance. It records facts; it does not decide whether you pass.
- It does not see your runtime. A vulnerability in the language runtime or in a server you deploy is invisible to a source-code scanner.
Repository layout
packages/
├── sphior-scan/ Detection engine + language server + CLI (@sphior/scan)
│ ├── src/engine/ rules, taint analysis, evidence records, SARIF output
│ ├── src/*-ast.ts tree-sitter backends, registered at runtime per language
│ └── src/lsp/ Language Server Protocol implementation
├── sphior-vscode/ VS Code extension (bundles the language server)
├── sphior-jetbrains/ JetBrains plugin (LSP4IJ + the same language server)
└── code-mcp/ MCP server, surfaces findings to AI coding assistants
One engine, many surfaces. The editor, the CLI and CI all execute the identical detection code — there is no "editor version" that behaves differently from the CI version.
Build from source
Requires Node.js 18+.
# 1. engine + language server + CLI
cd packages/sphior-scan && npm install && npm run build
# 2a. VS Code extension (bundles the server produced above)
cd ../sphior-vscode && npm install && npm run build
# 2b. JetBrains plugin (requires JDK 21)
cd ../sphior-jetbrains && ./gradlew buildPlugin
The Gradle build syncs the language server produced in step 1 before packaging, so there is no copy step to remember — it fails rather than bundling a stale server.
Try the CLI
node packages/sphior-scan/dist/cli.js run ./your-project --json findings.json
SPHIOR CODE: 4 findings (critical=1 high=3 medium=0 low=0) engine=0.1.0 ruleset=2026.10.20-23
SARIF output (--sarif out.sarif) is accepted by GitHub code scanning and most CI dashboards.
Privacy
The extensions bundle the language server and start it as a local process. There is no network client in the shipped engine — no telemetry, no analytics, no phone-home.
Verify it yourself. git grep 'fetch(' over packages/sphior-scan/src does return hits, and
all of them are one of two things: the detection rules that look for fetch/axios as an SSRF
sink in your code, and string builders for advisory links (https://osv.dev/...) that are
printed, never requested. There is no call site. The same holds for the bundled server.cjs in a
published artifact.
Secret values are never stored or transmitted. Findings carry a masked preview
(AKI…TY) and a SHA-256 of the surrounding snippet, never the secret itself.
Evidence records
packages/sphior-scan/src/engine/evidence implements the tamper-evident side: canonical JSON
(RFC 8785), SHA-256 fingerprints, a per-tenant hash chain, and Merkle roots for batch anchoring.
This is what lets a scan result be verified later by someone who does not trust the party that
produced it.
The verification logic is here in the open on purpose — evidence that only its author can check is not evidence.
Where this stops
The engine seals each scan locally, which makes a single result verifiable. What it cannot do on its own is keep the history: what was scanned last month, which findings were fixed, how long they took, and what was deliberately left out of scope. That record is what an auditor actually asks for, and it has to live somewhere that outlasts a laptop.
SPHIOR is that place — the same engine, with the history kept and independently verifiable. The scanner here stays free and unlimited either way; nothing is held back from it to make the hosted side look better.
Related
@sphior/scan— engine + CLI + language serversphior-code-mcp— MCP server (io.github.Toraastrta/sphior-code-mcp)- SPHIOR — the hosted service this engine also powers
License
MIT — see LICENSE.
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