GitHub
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Beschreibung vom Entwickler (englisches Original)
Deploy full-stack apps with databases, storage, backups, logs, scaling, and rollback. 74 MCP tools.
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.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://mcp.nexusai.run/mcpFühre das in deinem Terminal aus
claude mcp add --transport http nexus-ai https://mcp.nexusai.run/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"nexus-ai": {
"url": "https://mcp.nexusai.run/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": {
"nexus-ai": {
"type": "http",
"url": "https://mcp.nexusai.run/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.
ChatGPT verbindet sich nur mit Servern im Internet:
https://mcp.nexusai.run/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
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.
Die Tool-Liste dieses Servers haben wir noch nicht gelesen; wir prüfen die Endpunkte reihum.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto nexusrun bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
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 in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.1.0) kam vor 44 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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 AI creation platform. Describe an app, watch it build, preview and share it, then deploy the full stack to production. Your AI agent runs the rest.
NEXUS AI is an agentic AI app builder and deployment platform. You describe what you want in plain words, and NEXUS AI builds it, verifies it, shows you a live preview you can share or remix, and deploys it when you're ready.
Every deploy ships the whole stack, already connected: app code, Postgres, MySQL, Mongo or Redis, S3-compatible buckets, persistent volumes, background workers, and encrypted backups, plus Stripe payments when your app needs them. Run it on NEXUS AI managed infrastructure or in your own AWS, Google Cloud, or Azure account.
It also includes standalone managed databases, an AI Gateway for routing model traffic, and 74 MCP tools, so Claude, Cursor, Codex, or any MCP-compatible agent can build, deploy, scale, back up, restore, query the database, and roll back without leaving the chat or IDE.
The problem it solves. AI tools like Claude Code, Cursor, v0, Bolt, Lovable, and Replit can generate working application code in minutes. Getting that code into production still requires the rest of a real stack: a database, a queue, storage, secrets, scaling, health checks, backups, rollbacks. NEXUS AI is the deploy layer that closes that gap and exposes every operation to the agent that wrote the code.
In one sentence. Describe what you want to build, preview it live, ship to a public HTTPS URL with Postgres + Redis + S3 in 5 minutes, then let your AI agent operate the stack on your behalf.
Four equivalent ways to get the same app running. Pick one or use all of them.
PROMPT
Tell Claude in chat: "Deploy this repo with Postgres, Redis, and a bucket called user-uploads." → The agent calls nexusai_deploy_source + nexusai_bucket_create
REPO nexus deploy source \ --repo https://github.com/you/my-app.git \ --framework python \ --services postgresql,redis \ --bucket user-uploads --wait
BUILDER Describe the app at https://nexusai.run/builder. Watch it render in a live preview, edit the code or click an element to change it, then press Deploy. Same pipeline as the CLI.
DASHBOARD Click through the same operations at https://nexusai.run/app. Same engine, same result.
After deploy, the agent (or you) operates the running stack: stream logs, scale replicas, snapshot the database, restore from backup, run a sandboxed SQL query, apply an AI-proposed schema fix, roll back to a previous release. Every action is an MCP tool, a CLI command, and a dashboard button.
Chat-driven app builder with a live, sandboxed preview. Generates React apps and full-stack Next.js + Prisma apps, including an auto-provisioned managed Postgres database and built-in email/password auth. The preview self-heals (up to two automatic AI fix attempts on build errors), and a "Fix with AI" action repairs a failed deploy and redeploys against the same database. Also included:
nexusai_builder_push sends files generated in Claude, Cursor, or ChatGPT into the builder for a free instant preview, and nexusai_builder_pull reads edits backPostgres, MySQL, Mongo, Redis, S3-compatible buckets, persistent volumes, background workers, and your app code. Wired together by one nexus deploy and live at a public HTTPS URL in 5 minutes. Framework detection covers FastAPI, Flask, Django, Express, Next.js, Rails, Laravel, Symfony, PHP, Ruby, Go, Java, and any container.
74 MCP tools cover the full lifecycle. Connect the NEXUS AI MCP server (https://mcp.nexusai.run/mcp) to Claude Desktop, Claude Code, Cursor, Codex, or any MCP client. The same agent that generated the code can deploy, scale, back up, restore, query the database, and roll back. Listed on the official MCP Registry at io.github.nexusrun/nexus-ai.
Org-scoped volumes that survive container restarts, redeploys, and host reboots. Multi-attach S3-compatible buckets backed by MinIO, each with its own scoped IAM service account (not platform-wide root credentials). Per-bucket credential rotation, signed download URLs (30 seconds to 1 hour TTL), streaming uploads.
Databases are their own resource, not part of an app. Create PostgreSQL or Redis on NEXUS AI (--local), or PostgreSQL and MySQL on AWS RDS, Google Cloud SQL, or Azure Database. Set your own database name, username, and password, attach to any deployment (env vars are injected on the next deploy, REDIS_URL for Redis), detach without losing data, and snapshot or restore into a new database. Private cloud databases are reached through an in-VPC/VNet proxy, so they are never exposed publicly. Run SQL from the CLI (nexus managed-db query shop "SELECT ..."), the dashboard, or MCP. Redeploying or deleting an app leaves the database untouched.
An OpenAI- and Anthropic-compatible gateway (/v1, /v1/messages) with failover and routing, virtual model aliases, caching, budgets and rate limits, usage and cost tracking, guardrails, audit logs, and an MCP gateway that aggregates servers behind one endpoint. Provider keys stay in the gateway. Supports Anthropic, OpenAI, Google Gemini, xAI Grok, OpenRouter, and any OpenAI-compatible endpoint. Self-hostable on NEXUS AI. nexusai.run/ai-gateway
Connect external Postgres, MySQL, or Mongo databases. Inspect schemas (cached for 5 minutes). Preview queries with EXPLAIN + safety analysis. Execute sandboxed SELECT statements with statement timeouts and row caps. Apply AI-proposed DDL fixes generated from runtime error logs (with review and audit).
Scheduled or on-demand backups for Postgres (pg_dump), MySQL (mysqldump), Mongo (mongodump), and Redis (BGSAVE). Encrypted at rest. Scheduled backups default to 7-day retention and prune automatically (configurable, never below 7 days). Download via short-lived signed URLs (TTL 30s to 1h) or restore directly. Cross-deployment restore (seed staging from production) supported.
Soft stop preserves containers, networks, volumes, and the port reservation so the next start brings everything back. Boot reconciliation restarts deployments the host reboot did not bring back. Versioned rollback in seconds. Replica count preserved across restart.
Dashboard, CLI (nexus deploy), or MCP tool call from your agent. Same engine, same result. Switch between them in the same project without anything getting out of sync.
Full-stack deploys run on the NEXUS AI managed Container platform with org-level isolation. Single-container apps can also target AWS App Runner, Google Cloud Run, or Azure Container Apps from the same dashboard, CLI, or MCP call.
Streaming build and runtime logs over WebSocket. Health checks with configurable endpoints. Tail logs directly from your agent (nexusai_deploy_logs) to triage failures without leaving chat.
AES-256-GCM encryption. Injected at container start, never written to images, never returned over the API, never appear in logs. Scoped per organization and environment with full audit trail on every read, write, and deletion.
Org-level roles (Owner, Admin, Developer). Per-org isolated runtime, networks, volumes, and S3 buckets. SAML / OIDC SSO available on Enterprise. Independently scoped and revocable API tokens with fine-grained OAuth scopes (deployments:read, db:admin, managed_db:manage, volumes:manage, buckets:manage, etc.) plus four legacy broad scopes preserved for backward compatibility.
Custom domains on Starter and above. Support by plan: community on Free, email and tickets on Starter, plus phone on Pro, dedicated SLA on Enterprise. Agents can open and reply to support tickets over MCP. See the customer support page.
Tenant isolation, encrypted secrets, encrypted backups, scoped per-bucket IAM, full audit logs, customer-owned cloud deployments for Enterprise, BAA available for Healthcare Pro and Enterprise.
| Provider | Type | Plans |
|---|---|---|
| NEXUS AI managed Container platform | Full-stack (app + DB + storage + workers) | All plans |
| AWS App Runner | Single-container | Pro, Healthcare Pro, Enterprise |
| Google Cloud Run | Single-container | Starter+, all plans |
| Azure Container Apps | Single-container | Pro, Healthcare Pro, Enterprise |
| Self-hosted / on-prem | Customer-owned Docker hosts | Enterprise |
Full-stack deploys (app + databases + storage + workers + backups) run on the NEXUS AI managed Container platform. The cloud-provider targets are for single-container apps that do not need the full managed stack.
| Registry | URL |
|---|---|
| Official MCP Registry | io.github.nexusrun/nexus-ai |
| mcp.so | mcp.so/servers/nexusai |
| Smithery | smithery.ai/servers/sali/nexusai |
| mcpservers.org | mcpservers.org/servers/nexusrun/nexusai |
| Glama | glama.ai/mcp/connectors/io.github.nexusrun/nexus-ai |
Install in any MCP client by searching "NEXUS AI" in the client's MCP marketplace, or via the registry URL above.
| Plan | Price | Best For |
|---|
| Free | $0 | Testing, developm
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