Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Policy-enforcing MCP proxy with portable evidence output.
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.
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Descargar el archivo .mcpb del creador
El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.
Ejecuta esto en tu terminal
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.
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 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub Rul1an, 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 (6.22.3) llegó al registro hoy.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas MCPB en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, NexusWindows
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.
Windows computer use in the background: desktop apps driven without your mouse or keyboard.
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.
Assay
The open, recomputable evidence profile for privileged MCP tool actions.
Assay records what a privileged tool call decided, what was observed, and what stays unproven, so a reviewer can replay the claim offline instead of trusting the agent's account of itself. In enforcement mode, the proxy gate for routed MCP tools/call requests is deterministic and fail-closed, and the enforcing proxy is the reference producer rather than the contract itself. Optional eBPF/LSM instrumentation on supported Linux hosts adds kernel-level observations. CI-native, no backend, bounded by design.
Quickstart · How it works · See it work · MCP example · OWASP MCP Top 10 · Discussions
Agents got real tool access through MCP — and tool poisoning, rug pulls, and confused-deputy OAuth came with it. Assay sits at the tool-call boundary and does three things, in order.
One golden path: the release-pinned agent journey records the nine driven CLI/MCP steps and their exit/stdout contracts. Its protected-action fixture lives in examples/privileged-action-gate/.
tools/call requests routed through it before forwarding, with the precise reason for each allow or deny. Separate controls on supported Linux hosts include cgroup eBPF IPv4/TCP connect filtering (whose hook error path allows connections) and Landlock TCP-connect port allowlisting. assay sandbox --enforce refuses an unavailable backend or conflicting filesystem policy unless --allow-audit-fallback is explicit. --enforce-net requires --enforce; active Landlock network enforcement rejects policies it cannot express as TCP-port allowlists, even with audit fallback enabled.assay mcp wrap --decision-log records tool-call decisions; assay evidence prepare-incident-package turns that log into an incident package verify-incident-package accepts, with the surface grades the verifier derives. The package is not a count of all calls, not completeness of capture, not proof of what the server did, and an allow is not proof a human accepted.verified, self_reported, inferred, or absent; its gates check the declared claim boundaries. A tool returning "success" is the provider's assertion, never proof. Assay ships no single safety score; read each artifact’s source, coverage and non-claims before relying on it.# Fast path: release installer for Linux and macOS.
curl -fsSL https://getassay.dev/install.sh | sh
assay doctor.assay --version
cargo install assay-cli --version 6.22.3 --locked
python3 examples/mcp-quickstart/run.py
For v6.22.3, run the last command from a source checkout or an extracted published CLI archive. The installer is binary-only and does not carry the bounded quickstart assets. The live getassay.dev installer verifies the selected archive against its published SHA-256 sidecar before extraction. Set ASSAY_REQUIRE_PROVENANCE=1 to additionally require GitHub artifact provenance; the default reports provenance_not_requested and strict success reports provenance_verified. A checksum proves byte equality with the published sidecar, not producer identity. Provenance identifies the source and build, not runtime safety or semantic correctness.
Captured runner output (the bundled local mock performs no external action):
assay quickstart: PASS
mcp_requests=initialize,tools/list,tools/call decision=allow tool=read_file decision_artifact=.assay/quickstart/decisions.ndjson non_claim=forwarded_to_local_mock_only
Released surfaces:
assay mcp config-path supports Claude Desktop and Cursor only.assay-mcp-server archives cover Linux x86_64/arm64. MCPB and server.json package descriptors are also published; their presence is not host-discovery proof.| Output | What it is |
|---|---|
| Policy gate | assay mcp wrap — deterministic allow/deny before tools run, with the reason. |
| Evidence bundle | Offline-verifiable, tamper-evident archive for audit and replay. |
| Trust Basis / Trust Card | Canonical trust-basis.json (bounded claim classification) plus review-friendly trustcard.{json,md,html}. |
| External receipts | Eval outcomes, runtime decisions, and model inventory as bounded receipts with JSON Schema contracts. |
| Tool-decision logs | For handled known-tool calls, the assay-mcp-server stdio server emits an info-level tool_decision event when enabled by its log filter; decision contains a JSON-encoded observed decision entry with projected target fields. |
| SARIF / CI | GitHub Action, Security-tab integration, policy gates on PRs. |
| Attestation | Sign an evidence bundle as a DSSE-wrapped in-toto v1 Statement with the evidence-bundle/v1 predicate. |
Agent ──► Assay ──► MCP Server
├─ ✅ ALLOW / ❌ DENY (policy, with reason) ├─► 📋 Evidence bundle (offline-verifiable) └─► 📊 Trust Basis → Trust Card → SARIF / CI
Current release: v6.22.3. CHANGELOG.md and release notes remain the authority for released behavior; merged changes after the tag are Unreleased, and crates.io publication is separate from merge state. Launch definition and support commitment: docs/LAUNCH.md.
Yes if you already have eval output, runtime decisions, inventory artifacts, or MCP tool-call tests, and you want a small reviewable CI artifact instead of a dashboard — bounded auditability, not a scalar trust badge.
Not yet if you need Assay to judge model correctness for you, want a hosted dashboard as the product, or want a compliance claim rather than a bounded evidence boundary. Assay is not a trust-score engine, a generic eval dashboard, or a hosted observability product — see what it is and is not.
An agent tries a privileged action — github.add_deploy_key — through the enforcing proxy, decided per call before it forwards, offline against a local mock (no real credentials):
cd examples/privileged-action-gate && ./run.sh
A deny is fail-closed caution, not a verdict on intent; an allow is the decision to forward, never proof the action happened. Declared-vs-observed conformance is recorded beside the verdict, never as a gate. Full walkthrough: privileged-action-gate.
| You have | What you get | Start here |
|---|---|---|
| Promptfoo JSONL from CI evals | Eval outcome receipts + verified bundle + Trust Basis diff | Promptfoo JSONL |
OpenFeature EvaluationDetails | Decision receipt + verified bundle | OpenFeature |
| CycloneDX ML-BOM model component | Inventory receipt + verified bundle | CycloneDX ML-BOM |
| MCP tool calls | Allow/deny audit trail + observed-behavior evidence | MCP Quick Start |
| A GitHub PR gate | Trust Basis diff, gate status, SARIF/JUnit-ready output | CI Guide |
| A Runner archive / coverage annotation | Coverage descriptors + claim-class cells + a claimed-vs-observed check | Coverage-honesty walkthrough |
The workflow stays small: import or record a bounded outcome, bundle and verify it, compile trust-basis.json, gate the Trust Basis diff. Assay doesn't make the upstream tool the source of truth; it makes the evidence boundary inspectable. For privileged tool actions, the MCP proxy records each tools/call as a structured tool-decision surface — keeping the asserted-versus-verified line honest.
version: "2.0"
name: "my-policy" tools: allow: ["read_file", "list_dir"] deny: ["exec", "shell", "write_file"] schemas: read_file: type: object properties: path: { type: string, pattern: "^/app/.*" } required: ["path"]
assay init --from-trace trace.jsonl generates the runtime-observation policy used by the trace-generation flow (files, network, and processes); it is not an MCP authorization policy. Migrate a legacy MCP constraints: policy with assay policy migrate. See Policy Files.
| Canonical evidence | Assay's evidence model is the stable contract; OpenTelemetry and protocol adapters (ACP / A2A projection profile / UCP) map into it. |
| Deterministic | The policy gate uses explicit rules; its decision depends on the request, policy and applicable session state. This does not make live evaluators or external effects deterministic. |
| Bounded claims | Explicit about verified vs visible vs absent — no score-first UX. |
| Offline-first | No backend required for core enforcement and bundle verification. |
| Checkable provenance | Which piece of the source-class and coverage model shipped when, as commits you can git log rather than claims you have to take — provenance, prior art credited first. |
Solo se muestra el principio; lee el resto en el repo