Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Deterministic security scanning, no model or API key, plus offline-verifiable proof a fix worked.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"dvalincode": {
"command": "npx",
"args": [
"-y",
"dvalincode"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add dvalincode -- npx -y dvalincodePégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"dvalincode": {
"command": "npx",
"args": [
"-y",
"dvalincode"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"dvalincode": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"dvalincode"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub arthurpanhku, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.22.0) llegó al registro hace 8 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, AvaHR
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
English · 中文 · 🌐 dvalincode.dev
Open security engineering for code written by humans and AI agents.
Every repair carries its own proof.
When an agent fixes a security finding, someone has to decide whether the fix worked. Almost every tool asks the model that wrote it — which is the one question a model cannot answer against its own interest.
Dvalin decides instead, and hands you the proof. It re-scans, runs your project's own tests itself, and reads the exit codes from processes it started. Who wrote the repair — our agent, Claude Code, Codex, Copilot, a person — is recorded and never consulted. The result is a Verified Fix Record: a small JSON file anyone can re-check offline, on a laptop with no network and no Dvalin state.
dvalin verify-fix fix-record.json
Fix record 2c9d71ac03e0 · VERIFIED · scan-and-checks
executor: claude-code (recorded, not consulted) targets: 1 before · 0 remaining coverage: complete → complete introduced: 0 (gate high/new) outcome: verified ✓ test: npm run test (exit 0) audit: run verify-36509f42 @ 414644c75af0
That record says something narrow on purpose: *these findings were gone, and these checks were observed to pass.* It is not a claim that your code is safe, and Dvalin will not let it be read as one — every record carries what the scan actually covered, and a repair no check could confirm does not pass. The open profile →
A repair is a change, and a change can add as well as remove. So the record also carries what the re-scan saw that the first scan did not, and the gate threshold the verdict was reached under: a fix that removes an eval and introduces an SQL injection is recorded as regressed and does not verify. Neither does a record whose issuer never looked — introduced: not determined fails, because a verifier that skips the question must not score better than one that asks it and finds something.
Dvalin is the independent security runtime between code generation and merge. Humans, coding agents, and CI call the same versioned contract for discovery, remediation, and verification. It runs independently, or interoperates with specialist systems such as Codex Security through sealed scan artifacts or portable SARIF. Its built-in coding capability is a remediation executor — not the trust boundary, and not an attempt to compete with every general-purpose coding agent. See the security-agent strategy.
npx dvalincode security scan .
That is the whole thing. It runs the built-in rules for injection, hardcoded secrets, XSS, eval, and unsafe shell use against the current directory and prints what it found. No account, no model, no config, no code leaves your machine. The default policy runs only Dvalin Built-in, so the first scan always works. Add optional engines explicitly, or inspect their fixed install commands:
dvalin scanners list
dvalin scanners install semgrep # review the command dvalin scanners install semgrep --yes # execute it under Dvalin policy
dvalin init
init writes dvalin.security.json (fail on *new* findings at high or above), names the checks your project actually has (test, typecheck, build, lint) as what Dvalin runs before it calls a fix verified, records today's findings as the accepted backlog in .dvalin/baseline.json, and writes a CI gate for GitHub (.github/workflows/dvalin.yml) or GitLab (.gitlab/dvalin-security.yml, with a Code Quality report for the merge request widget). It never overwrites a file that is already there unless you pass --force. Commit what it wrote, and the backlog stops blocking anyone: only what a change adds fails.
To gate every commit locally too, add the pre-commit hook:
# .pre-commit-config.yaml
repos:
If Snyk is what blocks your merges, verify against Snyk. A fix judged "clean" by a different engine is a fix the gate can still reject, and that mismatch is what turns one agent repair into several rounds of push, fail, and rebase.
npm install -g snyk && snyk auth # or set SNYK_TOKEN
dvalin scan . --scanners builtin,snyk-code,snyk-oss
snyk-code (SAST) and snyk-oss (dependencies) are engines like any other: their findings carry the same fingerprints, coverage and gate, and a failed login is reported as an engine error, which makes the scan partial, never clean. They run only when named, because Snyk Code uploads source to Snyk. Name them in dvalin.security.json to make them part of the policy, and reverify will judge every fix with them.
If GitHub code scanning is the gate, use CodeQL the same way:
dvalin scan . --scanners builtin,codeql
codeql builds one database per language outside the workspace and runs that language's default code-scanning queries, so its findings are the ones the gate reports. JavaScript/TypeScript, Python, Ruby, Java and C# are analysed without a build; Go uses CodeQL's autobuild. Kotlin, C/C++ and Swift need the project's own build, so when they are in the tree the run says so and the scan is partial, not clean. It runs only when named — a database takes minutes, not seconds, and the CodeQL CLI's license covers open-source code and GitHub Advanced Security customers.
Ignores Snyk itself reports as accepted are honored and listed as coverage exclusions. Ignores the change under review adds are not: when a fix is judged, .snyk, .semgrepignore, .trivyignore and .dvalincodeignore are restored to the base commit's version and new inline markers (deepcode ignore, nosemgrep, nosec, NOSONAR, …) are blanked, so a finding that was silenced rather than fixed still fails the fix. A suppression is a risk decision a person makes in its own change, never a repair.
The same judgement applies wherever Dvalin says "verified": the fix loop, dvalin verify, the MCP dvalin_verify_findings tool, single-round --fix --verify, and CI reverify. Those records are dvalin-fix-record/v3, which also fails a repair that hid a finding instead of fixing it — a sibling sink, a deleted vulnerable file, deleted tests or assertions. Outside a git repository, where the change cannot be determined, records stay v2 and say that evasion was not evaluated.
dvalincode dvalin . --scanners builtin,snyk-code,snyk-oss --until-clean --max-rounds 3 --executor codex
--until-clean turns one fix attempt into a bounded loop. The executor edits; Dvalin re-scans with the same engines and runs the project's checks itself; the executor is sent only what is still wrong — targets still present, findings its change introduced, failing checks with their last lines of output, suppressions it added — and fixes again. Dependency findings go first.
The loop stops, and says which, when every target is gone with nothing blocking introduced and every check passing (verified), when the round budget runs out, when a round leaves the same problems open or the open set stops shrinking (stalled), when the targets need a person — a dependency with no fixed version (not-auto-fixable) — or when the engines or checks cannot run (unverifiable). Suppressions the executor adds are undone before each scan and stay open problems until removed. Every outcome issues a fix record, and every round is logged under ~/.dvalincode/security/fix-loops/; dvalin loop-stats summarizes those logs — how often loops reach verified, the median and p90 rounds to green, which stop rule fired, and what was still open when a loop stalled (--json, --since, --executor to slice it).
Rounds are kept short without changing what decides them. The engines run side by side, so a scan costs the slowest engine rather than the sum. Between rounds, the engines that analyse one file at a time (Dvalin Built-in, Semgrep) rescan only the files the change touched and the files the targets are in; the others always scan the whole tree. That narrowed scan only steers the executor: any round that would stop the loop is re-judged on a full scan of the same tree, and only the full scan decides the outcome and goes into the record. --full-rescan scans everything every round, and loop-stats reports scan time per round and how often a full scan changed the decision.
For code findings the loop first asks for a reproduction: tests only, which Dvalin runs on the unfixed code and requires to fail — by a failing assertion, not a missing runner or a not-yet-written import. The tests are hashed; the fix must then make them pass unchanged, and that run is a check in the record. A finding no test could demonstrate stops the loop as not-reproduced before anything is fixed: it may be a false positive, and a person triages it. The runner is inferred (vitest, jest, mocha, node --test, pytest, go test) or set with --repro-command 'npx vitest run {files}' or reproduce in dvalin.security.json — never chosen by the executor.
Each fix round also rejects the evasions an agent reaches for when the goal is "the scanner went quiet": moving the sink to a sibling (eval → new Function, exec → spawn with shell: true), deleting the vulnerable file, deleting tests, removing assertions. In practice the scanner alone is fooled by the first one — the rule stops matching — and the reproduction test and the evasion check are what catch it.
dvalincode dvalin . --scanners builtin,snyk-code,snyk-oss --until-clean \
--rebase-onto origin/main --executor codex --draft-pr --sign-key ci.key
With --rebase-onto the loop fetches and rebases the fix onto upstream before it starts and after every round, then judges it there. Conflicts go to the executor — the conflicted files only, with "do not run git" — and Dvalin continues the rebase itself; markers left in a file are a conflict not resolved. If they cannot be resolved the
Solo se muestra el principio; lee el resto en el repo