Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
A DynamoDB emulator with an MCP server exposing 35 DynamoDB tools to coding agents.
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": {
"dynoxide": {
"command": "npx",
"args": [
"-y",
"dynoxide",
"mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add dynoxide -- npx -y dynoxide mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"dynoxide": {
"command": "npx",
"args": [
"-y",
"dynoxide",
"mcp"
]
}
}
}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": {
"dynoxide": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"dynoxide",
"mcp"
]
}
}
}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 nubo-db, 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 (1.5.0) llegó al registro hace 14 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js, Docker en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, FlyDocs
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.
Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.
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.
A DynamoDB emulator in Rust, backed by SQLite. Runs as an HTTP server or an MCP server for coding agents, embeds into Rust and iOS applications as a library, and compiles to WebAssembly for the browser.
The crates.io badge above shows the crate version, which covers the Rust library alone. Everything you install rather than depend on carries a separate product version: the binary, the npm packages, the container images, the browser engine and the Action. That is the number
dynoxide --versionprints and the one to quote in a bug report. Why there are two.
I built Dynoxide because DynamoDB Local is slow, heavy, and can't embed. It needs a JVM, and the typical Docker-based setups adds ~3 seconds of cold-start, ~209 MB of memory at idle, and a ~225MB Docker image ( ~473 MB on disk) before you've done anything useful. If you're running integration tests, that's Docker starting, the JVM warming up, and your pipeline waiting.
Dynoxide is a native binary. It starts in milliseconds, idles at ~7.2 MB , and ships as a ~3 MB download. Point any DynamoDB SDK at it and your tests just work.
For Rust projects, there's also an embedded mode - direct API calls via Database::memory() with no HTTP layer at all. Each test gets an isolated in-memory database with zero startup cost. And because it compiles to a native library with no runtime dependencies, it runs on platforms where DynamoDB Local can't, including iOS.
| Metric | Dynoxide (embedded) | Dynoxide (HTTP) | DynamoDB Local |
|---|---|---|---|
| Cold startup | ~0.2ms | ~15ms | ~2,287ms |
| GetItem (p50) | 9µs | 0.1ms | 0.8ms |
| PutItem throughput | ~51,613 ops/s | ~6,703 ops/s | ~945 ops/s |
| 50-test suite (sequential) | ~484ms | ~569ms | ~2,407ms |
| 50-test suite (4x parallel) | ~203ms | ~235ms | ~1,189ms |
Numbers from ubuntu-latest ( 4-core AMD EPYC 7763, 16GB RAM ). Commit 17be96a .
| Metric | Dynoxide (embedded) | Dynoxide (HTTP) | DynamoDB Local | LocalStack (all services) | Floci | MiniStack |
|---|---|---|---|---|---|---|
| Cold startup | <1ms | ~2ms | ~2,605ms | ~12,217ms | ~228ms | ~2,636ms |
| GetItem (p50) | 16µs | 0.3ms | 0.8ms | - | - | - |
| 50-test CI suite | 828ms | 859ms | 2,628ms | - | - | - |
| Full workload (10K items) | - | 3.2s | 12.2s | - | - | - |
| Binary / image (download) | ~3 MB | ~3 MB | 225 MB | 1.1 GB | - | - |
| Binary / image (on disk) | 8 MB | 8 MB | 473 MB | 1.1 GB | 234 MB | 162 MB |
| Idle memory (RSS) | ~7.2 MB | ~8 MB | ~209 MB | ~387 MB | ~23 MB | ~47 MB |
The gap is wider on Apple Silicon because the faster CPU amplifies the difference between native code and JVM overhead. Both are real measurements of the same benchmark suite. Full methodology and per-operation breakdowns →
Dynoxide is continuously verified against real DynamoDB by Parity Suite, the DynamoDB conformance suite that runs one test matrix against AWS itself and every major DynamoDB emulator. Pass rates move as the suite grows and each engine changes, so rather than pin a snapshot that goes stale, see the live standings:
Disclosure: Dynoxide and Parity Suite are maintained by the same person. The suite scores Dynoxide on the same public matrix it runs against every other engine, and the results and test code are open.
This covers the native build. The WebAssembly build is scored as its own row: it passes every test it implements, with a far higher skip count than any other target because several operations are still missing.
| Dynoxide | DynamoDB Local | LocalStack (all services) | Floci | MiniStack | dynalite | |
|---|---|---|---|---|---|---|
| Language | Rust | Java | Python + Java | Java (GraalVM native image) | Python | Node.js |
| Storage | SQLite | SQLite | SQLite (via DDB Local) | Its own (in-memory, persistent or WAL) | Its own (in-memory, optional on-disk state) | LevelDB |
| Runtime dependency | - | JVM | Docker + a LocalStack account (auth token) | Docker | Docker or Python | Node.js |
| Embeddable (Rust / iOS) | ✓ | - | - | - | - | - |
| MCP server for agents | ✓ | - | - | - | - | - |
LocalStack uses DynamoDB Local internally as its DynamoDB engine, so its startup and memory overhead includes DynamoDB Local's JVM plus LocalStack's own Python routing layer. Since March 2026 its image needs a LocalStack account and LOCALSTACK_AUTH_TOKEN to start, even for the services that used to be free. Floci and MiniStack are general AWS emulators like LocalStack, each with its own DynamoDB engine rather than DynamoDB Local.
Run a local server without installing anything:
npx dynoxide --port 8000
Or install it into a project to pin the version, after which npx dynoxide uses that copy:
npm install --save-dev dynoxide
Or run it in Docker, a drop-in for amazon/dynamodb-local:
docker run --rm -p 8000:8000 ghcr.io/nubo-db/dynoxide
Point any AWS SDK or DynamoDB client at http://localhost:8000. For Homebrew, Cargo, pre-built binaries, and embedding as a Rust library, see the installation guide.
Add --log quiet to suppress informational startup and shutdown messages on stderr (useful in test suites). It works on serve, mcp and import --serve or --mcp, and warnings and errors still print. Without --log, the output is unchanged.
Dynoxide implements the DynamoDB API across tables, items, query and scan, batches, transactions, PartiQL, streams, TTL, and tags, with GSI and LSI support, the full expression syntax, and DynamoDB-compatible pagination, validation, and error codes. For the operation-by-operation breakdown and a comparison, see the compatibility summary.
Dynoxide is built for local development, testing, and CI, not as a production DynamoDB replacement, so two classes of thing are missing on purpose.
Cloud-only operations with no local equivalent aren't implemented: backups and point-in-time restore, global tables, Kinesis streaming, resource policies, and capacity management. Call one and you get an UnknownOperationException.
A few behavioural differences are also worth knowing when you test against it:
ConsistentRead is accepted but changes nothing. SQLite is strongly consistent, so every read already is - you can't reproduce eventually-consistent reads.DescribeStream returns one shard, and its ExclusiveStartShardId and Limit paging parameters are accepted but ignored.Solo se muestra el principio; lee el resto en el repo