Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Multi-step workflow orchestration for VMware MCP skills with approval gates and rollback.
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": {
"vmware-pilot": {
"command": "uvx",
"args": [
"vmware-pilot"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add vmware-pilot -- uvx vmware-pilotPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"vmware-pilot": {
"command": "uvx",
"args": [
"vmware-pilot"
]
}
}
}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": {
"vmware-pilot": {
"type": "stdio",
"command": "uvx",
"args": [
"vmware-pilot"
]
}
}
}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 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub zw008, 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 (1.8.7) llegó al registro hace 4 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Reelsaw
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.
Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.
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.
For a read-only check of this skill with your model and agent host, use the shared model-fit self-test in the marketplace root.
Author: Wei Zhou, VMware by Broadcom — wei-wz.zhou@broadcom.com
This is a community-driven project by a VMware engineer, not an official VMware product.
For official VMware developer tools see developer.broadcom.com.
English | 中文
Multi-step workflow orchestration for VMware MCP skills — state machine, approval gates, audit trail.
Companion skills handle everything else:
| Skill | Scope | Install |
|-------|-------|---------|
| [vmware-aiops](https://github.com/vmware-skills/VMware-AIops) | VM lifecycle, deployment, guest ops, cluster |
uv tool install vmware-aiops|
| [vmware-monitor](https://github.com/vmware-skills/VMware-Monitor) | Read-only: inventory, health, alarms, events |
uv tool install vmware-monitor|
| [vmware-storage](https://github.com/vmware-skills/VMware-Storage) | Datastores, iSCSI, vSAN management |
uv tool install vmware-storage|
| [vmware-vks](https://github.com/vmware-skills/VMware-VKS) | Tanzu Namespaces, TKC cluster lifecycle |
uv tool install vmware-vks|
| [vmware-nsx](https://github.com/vmware-skills/VMware-NSX) | NSX networking: segments, gateways, NAT |
uv tool install vmware-nsx-mgmt|
| [vmware-nsx-security](https://github.com/vmware-skills/VMware-NSX-Security) | DFW firewall rules, security groups |
uv tool install vmware-nsx-security|
| [vmware-aria](https://github.com/vmware-skills/VMware-Aria) | Aria Ops: metrics, alerts, capacity |
uv tool install vmware-aria|
| [vmware-avi](https://github.com/vmware-skills/VMware-AVI) | AVI load balancing, pool management, AKO K8s ops |
uv tool install vmware-avi|
uv tool install vmware-pilot
vmware-pilot mcp # start the MCP server (stdio)
This project uses the modern PEP 517 build system (hatchling), so there is no `setup.py` by design — that is expected, not a missing file. If you cloned the source and hit ERROR: File "setup.py" or "setup.cfg" not found ... editable mode currently requires a setuptools-based build, your pip is older than 21.3 and cannot do an *editable* (-e) install with a non-setuptools backend. Editable mode is a developer convenience, not needed to run the tool — do one of:
# From the source tree — a normal (non-editable) install builds a wheel:
pip install . # NOT pip install -e .
pip install --upgrade pip && pip install -e .
For a truly air-gapped host, build the wheels on a connected machine and copy them over — the target then needs no network:
# On a connected machine, collect this package + its dependencies as wheels:
pip wheel . -w dist # → dist/*.whl (or: uv build, for just this package)
pip install --no-index --find-links dist vmware-pilot
| Tool | Description |
|---|---|
get_skill_catalog | List all available skills and tools for workflow design |
list_workflows | List built-in and custom templates |
review_workflow | Sanity-check a planned workflow before execution |
design_workflow | Natural language goal → draft workflow |
update_draft | Edit draft workflow steps |
confirm_draft | Finalize draft → ready to execute |
create_workflow_from_template | Create and save a workflow from a template (not a dry run), returns workflow_id |
create_workflow | Create custom workflow from step list (refused if a destructive step has no approval gate before it) |
run_workflow | Execute workflow, pauses at approval gates |
get_workflow_status | Query state + diff report + audit log |
approve | Human approval, continue execution. Refused while steps before the gate are not_executed, until acknowledge_not_executed=True says you ran them |
rollback | Explicit, best-effort undo of steps pilot recorded as succeeded — never automatic. Previews (blast_radius) unless confirm=True |
cancel_workflow | Cancel a workflow — move it to the terminal CANCELLED state. Previews (blast_radius) unless confirm=True |
n is the number of VMs (or drift items); ranges depend on which optional parameters are set. clone_and_test needs snapshot_name (the snapshot to clone from), resizes staging while it is powered off, and has 8 steps when change_spec is a guest command (an extra gate before it runs in staging). investigate_alert's approvals are synthesis checkpoints; its steps are all reads. See skills/vmware-pilot/references/templates.md for parameters and steps.
| Template | Steps | Approval | Skills Used |
|---|---|---|---|
clone_and_test | 7-8 | Yes | aiops, monitor |
incident_response | 4 | Yes | monitor, aiops |
investigate_alert | 4 (8 with deep_dive) | Yes | monitor, aria |
plan_and_approve | 3 | Yes | aiops |
compliance_scan | 1-3 | No | monitor, aria |
network_segment_setup | 3-6 | Yes | nsx, nsx-security |
vks_cluster_deploy | 5 | Yes | vks |
rolling_restart | 2+3n | Yes | aiops, monitor |
capacity_expansion | 5 | Yes | aria, aiops, monitor |
disaster_recovery | 5 | Yes | aiops, monitor, nsx |
patch_deployment | 1+3n | Yes | aiops, monitor |
storage_expansion | 6 | Yes | storage |
baseline_capture | 1-5 | No | monitor, nsx, storage |
baseline_audit | 1-5 | No | monitor, nsx, storage, aria |
baseline_remediate | 3+n | Yes | varies |
2.0 renames one MCP tool: plan_workflow → create_workflow_from_template. It always created and saved a workflow from a template (it is a write, not a dry run); the new name says so and sets it apart from create_workflow, which saves your own step list. Parameters and results are unchanged, and so are the CLI commands. The skill catalog also follows vmware-vks's renames (get_supervisor_kubeconfig → issue_supervisor_kubeconfig, get_tkc_kubeconfig → issue_tkc_kubeconfig). Workflows saved with the old names are translated when loaded. If an agent prompt, script or ~/.vmware/rules.yaml names plan_workflow, update it. Requires vmware-policy ≥ 1.19.0. Details: RELEASE_NOTES.md.
{
"mcpServers": { "vmware-pilot": { "command": "vmware-pilot", "args": ["mcp"] } } }
Fallback:
{"command": "uvx", "args": ["--from", "vmware-pilot", "vmware-pilot-mcp"]}still
works, but
uvxre-resolves against PyPI on every start and fails behind a TLS-inspecting
corporate proxy (
invalid peer certificate: UnknownIssuer). The installed entry point above
touches the network zero times; set
UV_NATIVE_TLS=trueif you must useuvx.
--dispatchBy default pilot executes nothing: run_workflow returns each step in pending_dispatch and your agent performs it. Add --dispatch (or set VMWARE_PILOT_DISPATCH=stdio) and pilot runs each step itself, in that skill's own MCP server (vmware- -mcp, which must be installed), so the skill's policy rules, confirmation gate and audit apply as usual. Nothing after an approval gate runs before approve, and workflows reach completed.
{"mcpServers": {"vmware-pilot": {"command": "vmware-pilot", "args": ["mcp", "--dispatch"]}}}
stdio only: pilot refuses to start with --dispatch and --transport https/http (the skill servers it starts would have no caller identity, so roles could not apply). A step that takes longer than VMWARE_PILOT_DISPATCH_TIMEOUT seconds (default 1800) is recorded interrupted — its effect is unknown — and rollback waits for you to check it. run_workflow and approve take as long as the steps they run: set your MCP client's tool timeout above your longest step. If a call does time out, Pilot carries on and answers nothing else until the step ends; then get_workflow_status shows the outcome. Never perform those steps yourself.
By default vmware-pilot mcp speaks stdio to one local client and offers every tool. Two options change that (vmware-policy ≥ 1.21.0).
Serve over HTTPS so clients on other machines can connect. Every caller needs a bearer token:
vmware-audit token create alice # prints the token once; give it to alice
vmware-audit token list # names only vmware-audit token revoke alice # refused from its next request, no restart vmware-pilot mcp --transport https --host 0.0.0.0 --port 8443 \ --cert /etc/vmware-mcp/server.pem --key /etc/vmware-mcp/server-key.pem \ --public-name mcp.example.com
Connect a client (Claude Code shown; any MCP client that supports streamable HTTP and custom headers works):
claude mcp add --transport http vmware-pilot https://mcp.example.com:8443/mcp \
--header "Authorization: Bearer $VMWARE_MCP_TOKEN"
{
"mcpServers": { "vmware-pilot": { "type": "http", "url": "https://mcp.example.com:8443/mcp", "headers": { "Authorization": "Bearer ${VMWARE_MCP_TOKEN}" } } } }
--public-name, and checks before it binds that unauthenticated requests get 401. Use a certificate your clients trust for those names.--transport http --host 127.0.0.1 --public-name mcp.example.com and pass the Authorization header through.--transport https (a self-signed certificate is fine), list in --public-name the host name the balancer sends as Host, and have it forward Authorization. Its health probe can use GET /healthz, which needs no token and returns only {"status": "ok"} (vmware-policy ≥ 1.23.0).traceparent or X-Request-ID with each request to have it stored on the audit row; vmware-audit log --correlation-id ID then finds the calls behind one platform request.token: . Calls naming different targets run in parallel; calls that name no target run one at a time, so name the target when several people share a server.vmware-audit roles enable once, then give each token a role (vmware-audit token create NAME --role reader, or a role in roles.yaml naming tools and targets; vmware-policy ≥ 1.24.0). A role limits what the token may call on this endpoint; it cannot grant more than the account has. See vmware-policy's README, "Roles for network callers".Offer only read tools, plus the writes you choose:
vmware-pilot mcp --expose read --allow-write cancel_workflow
Tools not offered do not appear in the client's tool list. A bad value or an unknown write tool stops the server (exit 2). This limits what clients are offered; it is not authorization, so the account itself should be least-privilege.
Details: skills/vmware-pilot/references/setup-guide.md ("Serving MCP over HTTPS", "Limiting which tools are offered").
Solo se muestra el principio; lee el resto en el repo