Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Execute SAS code and query Compute, CAS, and model APIs on SAS Viya via OAuth 2.0.
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.
VIYA_ENDPOINT, SSL_VERIFY, CLIENT_ID, COMPUTE_CONTEXT_NAME, MCP_TIERS, MCP_READ_ONLY, MCP_APPS, MCP_STATELESS_HTTP, VIYA_CLIENT_TIMEOUTDu 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": {
"sas": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"VIYA_ENDPOINT",
"-e",
"SSL_VERIFY",
"-e",
"CLIENT_ID",
"-e",
"COMPUTE_CONTEXT_NAME",
"-e",
"MCP_TIERS",
"-e",
"MCP_READ_ONLY",
"-e",
"MCP_APPS",
"-e",
"MCP_STATELESS_HTTP",
"-e",
"VIYA_CLIENT_TIMEOUT",
"ghcr.io/sassoftware/sas-mcp-server:1.19.1",
"app-stdio"
],
"env": {
"VIYA_ENDPOINT": "your-value",
"SSL_VERIFY": "your-value",
"CLIENT_ID": "your-value",
"COMPUTE_CONTEXT_NAME": "your-value",
"MCP_TIERS": "your-value",
"MCP_READ_ONLY": "your-value",
"MCP_APPS": "your-value",
"MCP_STATELESS_HTTP": "your-value",
"VIYA_CLIENT_TIMEOUT": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add sas --env VIYA_ENDPOINT=your-value --env SSL_VERIFY=your-value --env CLIENT_ID=your-value --env COMPUTE_CONTEXT_NAME=your-value --env MCP_TIERS=your-value --env MCP_READ_ONLY=your-value --env MCP_APPS=your-value --env MCP_STATELESS_HTTP=your-value --env VIYA_CLIENT_TIMEOUT=your-value -- docker run -i --rm -e VIYA_ENDPOINT -e SSL_VERIFY -e CLIENT_ID -e COMPUTE_CONTEXT_NAME -e MCP_TIERS -e MCP_READ_ONLY -e MCP_APPS -e MCP_STATELESS_HTTP -e VIYA_CLIENT_TIMEOUT ghcr.io/sassoftware/sas-mcp-server:1.19.1 app-stdioTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"sas": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"VIYA_ENDPOINT",
"-e",
"SSL_VERIFY",
"-e",
"CLIENT_ID",
"-e",
"COMPUTE_CONTEXT_NAME",
"-e",
"MCP_TIERS",
"-e",
"MCP_READ_ONLY",
"-e",
"MCP_APPS",
"-e",
"MCP_STATELESS_HTTP",
"-e",
"VIYA_CLIENT_TIMEOUT",
"ghcr.io/sassoftware/sas-mcp-server:1.19.1",
"app-stdio"
],
"env": {
"VIYA_ENDPOINT": "your-value",
"SSL_VERIFY": "your-value",
"CLIENT_ID": "your-value",
"COMPUTE_CONTEXT_NAME": "your-value",
"MCP_TIERS": "your-value",
"MCP_READ_ONLY": "your-value",
"MCP_APPS": "your-value",
"MCP_STATELESS_HTTP": "your-value",
"VIYA_CLIENT_TIMEOUT": "your-value"
}
}
}
}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": {
"sas": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"VIYA_ENDPOINT",
"-e",
"SSL_VERIFY",
"-e",
"CLIENT_ID",
"-e",
"COMPUTE_CONTEXT_NAME",
"-e",
"MCP_TIERS",
"-e",
"MCP_READ_ONLY",
"-e",
"MCP_APPS",
"-e",
"MCP_STATELESS_HTTP",
"-e",
"VIYA_CLIENT_TIMEOUT",
"ghcr.io/sassoftware/sas-mcp-server:1.19.1",
"app-stdio"
],
"env": {
"VIYA_ENDPOINT": "your-value",
"SSL_VERIFY": "your-value",
"CLIENT_ID": "your-value",
"COMPUTE_CONTEXT_NAME": "your-value",
"MCP_TIERS": "your-value",
"MCP_READ_ONLY": "your-value",
"MCP_APPS": "your-value",
"MCP_STATELESS_HTTP": "your-value",
"VIYA_CLIENT_TIMEOUT": "your-value"
}
}
}
}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.
SSL_VERIFY envCLIENT_ID envCOMPUTE_CONTEXT_NAME envMCP_TIERS envMCP_READ_ONLY envMCP_APPS envMCP_STATELESS_HTTP envVIYA_CLIENT_TIMEOUT envDiese 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 sassoftware 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.
Das musst du eintragen: VIYA_ENDPOINT
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 (1.19.1) kam vor 7 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Docker auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, topo^alpin
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.
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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.
A Model Context Protocol (MCP) server for executing SAS code, training AutoML projects, scoring models and so much more for SAS Viya environments.
Here you can find getting articles on how to use and integrate the SAS MCP Server in different tools and what to build with it:
git clone <repository-url>
cd sas-mcp-server
uv sync
NOTE: This will by default create a virtual environment called .venv in the project's root directory.
If for some reason the virtual environment is not created, please run uv venv and then re-run uv sync.
Run uv sync again after each git pull, with every MCP client that uses this checkout closed. The stdio client configurations below start the server with uv run --no-sync, so they never sync .venv themselves: on Windows, a sync while another copy of the server is running fails on its locked .exe and the server does not start (see TROUBLESHOOTING.md).
cp .env.sample .env
Edit .env and set
VIYA_ENDPOINT=https://your-viya-server.com
Option A: HTTP mode (pre-run the server, connect from MCP client)
uv run app
The server will be available at http://localhost:8134/mcp by default. Authentication is handled via OAuth2 PKCE flow in the browser.
Option B: Stdio mode (MCP client starts the server on demand)
Authenticate once. Two equivalent options:
# Option B1 — if you have the SAS Viya CLI installed:
sas-viya auth loginCode
uv run sas-mcp-login
Both flows write an access token to a local cache (~/.sas/credentials.json and ~/.sas-mcp-server/credentials.json respectively); the stdio server reads whichever it finds. When the token expires, re-run the same command.
Then configure your MCP client to launch the server directly (see below).
Option C: Docker / Podman (containerized deployment)
Pull the pre-built image from GitHub Container Registry:
docker pull ghcr.io/sassoftware/sas-mcp-server:latest
docker run -e VIYA_ENDPOINT=https://your-viya-server.com -p 8134:8134 ghcr.io/sassoftware/sas-mcp-server:latest
Or build locally from source:
docker build -t sas-mcp-server .
docker run -e VIYA_ENDPOINT=https://your-viya-server.com -p 8134:8134 sas-mcp-server
Available image tags:
latest — most recent tagged release . . (e.g. 1.0.0) — specific release . (e.g. 1.0) — latest patch of a minor releaseedge — tip of main (unreleased, for testing)sha- — pinned to a specific commitProgrammatic clients with a pre-existing Viya token
If your caller already holds a Viya access token (e.g. an automation script that obtained one via the SAS Viya CLI), start the HTTP-mode server with ALLOW_RAW_BEARER=true and pass the token directly:
curl -H "Authorization: Bearer $VIYA_TOKEN" http://localhost:8134/mcp ...
The server validates the token against Viya's JWKS and uses it upstream as-is, bypassing the MCP JWT swap. The default OAuth2 PKCE flow keeps working alongside — both client types share the same /mcp endpoint.
If your Viya APIs are intentionally exposed without auth (for example, a local/dev Compute API endpoint), set VIYA_AUTH=false to bypass all SASLogon/OAuth flows in both HTTP and stdio modes. In this mode the server sends upstream requests without an Authorization header.
If your compute deployment does not expose /compute/contexts and only supports a fixed session, set COMPUTE_SESSION_ID= . The compute tools will use that session directly instead of creating context-backed sessions.
| HTTP | Stdio | Docker | Kubernetes | |
|---|---|---|---|---|
| How it runs | Long-running server you start separately | MCP client spawns it on demand | Containerized HTTP server | Containerized, behind an ingress |
| Authentication | OAuth2 PKCE flow (browser popup) | Cached token via sas-viya CLI or sas-mcp-login | OAuth2 PKCE flow (browser popup) | PKCE and/or raw Viya bearer token |
| Best for | Multi-user or shared setups; production-like environments | Single-user local development; quick experimentation | Team deployments; CI/CD; environments without Python installed | Shared/organisational deployments alongside Viya |
| Requires | Python + uv | Python + uv (+ optional sas-viya CLI) | Docker or Podman only | A cluster, an ingress controller, a TLS secret |
| Credentials stored? | No — user authenticates interactively | No — only an access token (not a password) is cached | No — user authenticates interactively | No — a signing key in a Secret; users authenticate themselves |
| MCP client config | Point client to http://localhost:8134/mcp | Client runs uv run app-stdio | Point client to http://host:8134/mcp | Point client to https:// /mcp |
Quick guidance:
sas-viya auth loginCode or uv run sas-mcp-login, then your MCP client manages the server lifecycle.MCP_TOOL_RENAME=catalog_=infocat_ — Copilot Studio's agent runtime fails on tool names that start with catalog_. The steps are in examples/copilot-studio/.app-stdio), not as an HTTP server, so it authenticates from your ~/.sas token cache — which has to be mounted into the container at /app/.sas.Tools are grouped into numbered tiers. By default the server exposes all of them; set MCP_TIERS to expose only a subset — handy for keeping a client's tool list small and focused, or hiding capabilities a deployment shouldn't offer. Accepts ranges and comma lists (e.g. MCP_TIERS=0-4 or MCP_TIERS=0,1,6,7); unset means all tiers.
| Tier | Group |
|---|---|
| 0 | Compute Contexts & Code Execution |
| 1 | Data Discovery |
| 2 | Data Operations & Files |
| 3 | Reports & Visualization |
| 4 | Batch Jobs & Async Execution |
| 5 | Automated Machine Learning |
| 6 | Model Management & Scoring |
| 7 | Decisioning Foundation (SAS Intelligent Decisioning) |
| 8 | Workbench (Execute Code Only) |
| 9 | Business Glossary (SAS Data Governance) |
| 10 | Decisioning Advanced (SAS Intelligent Decisioning) — needs Tier 7 |
# Example: expose only compute/discovery/data-ops and reporting
MCP_TIERS=0-3 uv run app
Set MCP_READ_ONLY=true to expose only tools that neither change server-side state nor cause server-side work — 57 of the 115 tools. Withheld tools are never registered, so they are absent from the client's tool list entirely: the model cannot see them, so it cannot attempt them.
This is a filter over the tiers, not a tier of its own — the read/write split cuts across every tier (Tier 3 has both get_report and delete_report). The two settings compose:
# Every read tool, all tiers
MCP_READ_ONLY=true uv run app
MCP_TIERS=3,7 MCP_READ_ONLY=true uv run app
The definition is strict: a tool qualifies only if it can neither write nor start work. Beyond the obvious create/update/delete tools, that withholds:
| Withheld | Why |
|---|---|
execute_sas_code, submit_batch_job | Run arbitrary code — can perform any operation, including deletes |
score_data, catalog_run_agent, catalog_run_adhoc_analysis | Start server-side jobs and leave run records, though they return data |
promote_table_to_memory | Mutates CAS in-memory state |
| cancel_job, reset_compute_session | Destroy som
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