Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Local Sapiom developer MCP for authoring, testing, deploying, and inspecting agents.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"sapiom": {
"command": "npx",
"args": [
"-y",
"@sapiom/mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add sapiom -- npx -y @sapiom/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"sapiom": {
"command": "npx",
"args": [
"-y",
"@sapiom/mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"sapiom": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@sapiom/mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto sapiom bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.20.0) kam vor 27 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, AI Deprecations
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
The local developer MCP server for Sapiom. It runs on your machine over stdio under the server name sapiom-dev. Today it gives a coding agent the tools to scaffold, test, deploy, and inspect Sapiom agents, and to put a web app behind a live sandbox URL or a durable App Link; the namespace leaves room for other developer tooling later.
Not the capability surface. This is _not_ the remote "Sapiom" MCP (the
hosted connector with
sapiom_sandbox_*, scrape, search, … capability tools).
sapiom-devexposes no direct capability tools. Its local check and Local
Run path uses stubbed capabilities without Sapiom capability spend; deploys,
cloud builds, production runs, signals, and schedules operate Sapiom cloud
state and may be metered. See
the two Sapiom MCP servers for which to use when.
No global install — run it on demand with npx:
{
"mcpServers": { "sapiom-dev": { "command": "npx", "args": ["-y", "@sapiom/mcp"], }, }, }
In Claude Code:
claude mcp add sapiom -- npx -y @sapiom/mcp
The server targets the production environment by default. Override it with the SAPIOM_ENVIRONMENT environment variable:
{
"mcpServers": { "sapiom-dev": { "command": "npx", "args": ["-y", "@sapiom/mcp"], "env": { "SAPIOM_ENVIRONMENT": "staging" }, }, }, }
production (alias prod) → app.sapiom.ai / api.sapiom.ai — the default.staging (alias dev) → app.sapiom.dev / api.sapiom.dev.Both resolve from built-in presets, so no config file is required. A custom target can be defined in ~/.sapiom/credentials.json (the server prints the expected shape if it encounters an unknown environment name).
The API key only travels over https://, or plain http:// to a loopback host (localhost, *.localhost, 127.0.0.1, [::1]). A custom target on any other http:// host is refused before the request is sent. On a trusted private network, set SAPIOM_ALLOW_INSECURE_HTTP=1 in the server's env.
The first networked call (link, deploy, run, inspect, signal) needs a Sapiom API key. Run `sapiom_authenticate` and the server opens a browser login flow, then caches the resulting key per environment in ~/.sapiom/credentials.json. After that, tools work without re-authenticating. sapiom_status reports who you're authenticated as; sapiom_logout clears the cached credentials.
The local authoring tools (scaffold, check, run_local) need no Sapiom authentication. scaffold may query npm for current dependency versions; check imports the definition; and run_local executes the author's ordinary local code. Only ctx.sapiom.* calls are replaced by stubs, so direct network, filesystem, environment, and process effects in author code remain real.
| Tool | Network | What it does |
|---|---|---|
sapiom_authenticate | browser | Log in and cache an API key for the current environment |
sapiom_status | — | Report authentication status |
sapiom_logout | — | Clear cached credentials |
sapiom_send_feedback | ✓ | Relay the user's product feedback to the Sapiom team |
sapiom_dev_agents_scaffold | npm optional | Create a new agent project; may query npm for current dependency versions |
sapiom_dev_agents_check | author code only | Typecheck, import, bundle, and validate the definition and step graph |
sapiom_dev_agents_run_local | author code only | Run locally with ctx.sapiom.* calls stubbed (no Sapiom capability spend) |
sapiom_dev_agents_link | ✓ | Resolve/create the hosted orchestration and cache its id |
sapiom_dev_agents_clone | ✓ | Fork a gallery template (or re-clone a fork) into a local project |
sapiom_dev_agents_deploy | ✓ | Bundle current local source, build in the cloud, and wait |
sapiom_dev_agents_run | ✓ | Start a real cloud execution |
sapiom_dev_agents_inspect | ✓ | Inspect an execution or build (optionally waiting for it) |
sapiom_dev_agents_signal | ✓ | Resume a paused execution by delivering a signal |
sapiom_dev_agents_emit_event | ✓ | Emit a custom event; starts a run per active event trigger on that type (0..N) |
sapiom_dev_agents_schedule | ✓ | Create a trigger: cron, one-off, event (eventType), or webhook (URL + secret) |
sapiom_dev_agents_schedule_inspect | ✓ | Inspect one trigger (with fire history) or list an agent's triggers |
sapiom_dev_agents_schedule_cancel | ✓ | Cancel a trigger of any kind (stops all future fires) |
sapiom_dev_agents_schedule_secret | ✓ | Rotate, complete-rotate, or revoke a webhook trigger's signing secret |
sapiom_dev_agents_cron_preview | ✓ | Validate a cron expression and preview its next occurrences |
sapiom_dev_sandbox_configure | — | Write a validated type: "sandbox" preview resource into sapiom.json |
sapiom_dev_sandbox_check | — | Validate the project's sandbox resources without deploying |
sapiom_dev_sandbox_preview | ✓ | Deploy the app to a sandbox for a live URL that expires with its ttl |
sapiom_dev_app_publish | ✓ | Publish the same app to a durable App Link (apps.sapiom.ai/{org}/{slug}) |
sapiom_dev_app_list | ✓ | List the org's App Links: URL, visibility, webhooks, spend cap, wake state |
sapiom_dev_app_settings | ✓ | Change a link's webhooksEnabled, visibility, spend cap, wake rate limit |
sapiom_dev_app_delete | ✓ | Delete a link (URL stops resolving, slug freed); confirm: true required |
sapiom_dev_map | optional | The agent map: systems, agents, steps and the code-proven edges between them |
A typical loop: scaffold → write step code → run_local until green → link → deploy → run → inspect.
For a web app rather than an agent: sandbox_configure → sandbox_preview while iterating (a throwaway URL that dies with the sandbox) → app_publish once the link needs to be permanent or shared. app_publish reads the same sapiom.json sandbox resource, uploads the source as a stored text-only bundle (≤ 10 MiB), and returns a durable https://apps.sapiom.ai/{org}/{slug} URL that wakes the app on demand — republishing the same slug updates it in place. See the sapiom-sandbox-preview skill for the routing rules.
Once a link exists, app_list, app_settings and app_delete manage it without leaving the terminal. Webhooks are off by default: app_settings { slug, webhooksEnabled: true } turns them on, after which third parties POST to https://apps.sapiom.ai/{org}/{slug}/hook/ (the /hook prefix is stripped and the body forwarded byte-exact, so Slack/Stripe/GitHub signature checks run inside the app). These settings need the org.write permission — publish authority alone is not enough — and a refusal comes back as a message naming the permission and the fields, for the agent to relay rather than retry.
sapiom_dev_map returns the map Agent Studio draws, computed from code on every call; nothing about agents or edges is stored. Pass a project folder (root, default the working directory) and optionally a git ref (HEAD, a branch, a commit) to draw that version:
{ "root": "~/agents/support-desk", "ref": "HEAD" }
The scan finds every folder with a sapiom.json or a defineAgent and reads:
agents.run / agents.launch (launch), schedules.create on another agent (timer), and events.emit matched to the agents an event type triggers (event). A target counts when the code makes it knowable: a literal, a const (local or imported), every value of a const map indexed at run time, a zod .default() on the input field the call reads, or a process.env key set in sapiom.json. Anything else is listed under unresolved.shared list. Name a system in a committed .sapiom/map.json: { "systems": [{ "agent": "intake", "name": "Support desk" }] }.agents check (needs the agent's dependencies installed).fleet.json's declared triggers. Signed out, platform says so and the map still draws.ref (from HEAD when drawing the working copy).To map agents you describe yourself, without scanning, pass agents:
{
"agents": [ { "slug": "intake", "emits": [{ "eventType": "ticket.opened" }] }, { "slug": "triage", "triggers": [{ "kind": "event", "eventType": "ticket.opened" }], "calls": [{ "to": "notify", "kind": "launch" }] }, { "slug": "notify", "resources": ["connector:slack"] } ] }
Each agent takes slug and optionally path, description, deployed, steps ({ entry, steps: [{ id }], transitions: [{ from, to, kind }] }), calls ({ to, kind: "launch" | "signal" | "timer", evidence? }), emits, triggers and resources. The same systems rule applies.
Labels. Signed in, the tool asks Jev (jev-1.13.0, one batched decisions.evaluate call) for each described agent's role (intake, worker, orchestrator, reporter, monitor or utility) and for the label of each launch or event edge (hands work to, feeds data to or monitors). A label appears only when its probability p is at least 0.8. Answers are cached in /.sapiom/cache/map-labels.json (ignored by git from inside the folder; in memory for a described map), keyed by a hash of the question's facts, so an unchanged agent is never re-asked and its label never flips. In a scanned project, when an agent changes, the label it showed stays unless the new answer differs and clears 0.8. Signed out, with platform: false, or when Jev fails or takes over 5 s, the map comes back with labels: "unavailable" and is otherwise the same.
Agents authored here call Sapiom capabilities — sandboxes, repositories, coding agents, search, storage, content generation — through @sapiom/tools (ctx.sapiom.*). run_local resolves those calls from stubs; deploy and production run cross into authenticated cloud operations and can be metered. This MCP never grows a per-capability tool of its own — capabilities live in @sapiom/tools and the remote sapiom MCP. See the positioning doc for the full policy.
Nur der Anfang wird gezeigt; den Rest findest du im Repo