Enterprise MCP Platform

NimbleBrain Studio
Production AI at Scale

Deploy, extend, and orchestrate secure MCP servers in minutes, then build agentic workflows on top, without managing infrastructure.

No lock-in ยท BYOC ready ยท Kubernetes-native

The Enterprise MCP Platform for Production AI

MCP

Deploy & Manage MCP Servers

Deploy, manage, and scale Model Context Protocol (MCP) servers in production with a few clicks. No infrastructure headaches.

Kubernetes

Kubernetes-Native Runtime

Our Kubernetes-native runtime provides enterprise security, governance, and reliability. Run in our cloud or bring your own cloud (BYOC).

Security

Production-Ready Infrastructure

Build AI agents, orchestrate LLM workflows, and connect legacy systems to modern AI with production-ready infrastructure you can trust.

One Platform. Two Components.

Production-ready MCP infrastructure that scales with your team

NimbleBrain enterprise MCP platform UI Platform

NimbleBrain Studio

Manage your entire MCP infrastructure from a single, intuitive interface. Deploy servers, manage workspaces, configure permissions, and monitor everything in real-time.

  • Multi-workspace management
  • Real-time logs & monitoring
  • Team collaboration & RBAC
  • One-click deployments
NimbleTools Kubernetes-native MCP runtime Open Source

NimbleTools Runtime

Enterprise-grade Kubernetes runtime for MCP servers. Self-host or use our managed cloud. Built for scale, security, and reliability from day one.

  • Kubernetes-native architecture
  • Auto-scaling & load balancing
  • Enterprise security & compliance
  • 100% open-source core

12 weeks of glue code. 5 minutes to production.

Stop rebuilding orchestration. NimbleBrain is the secure runtime where MCP tools, data, and LLMs just work in your cloud or ours.

BEFORE
  • ๐Ÿ”ง Hand-wired APIs & brittle scripts
  • ๐Ÿงต Snowballing glue code across teams
  • ๐Ÿ•ต๏ธโ€โ™€๏ธ Shadow IT + compliance risk
  • ๐Ÿข Security reviews stall launches
12-16w
Infra drag
40-60%
Eng time lost
$250K+
Opportunity cost
AFTER
  • โšก Deploy runtime in minutes
  • ๐Ÿงฉ Plug MCP servers & internal tools
  • ๐Ÿ”’ RBAC, SSO, audit logs by default
  • ๐Ÿš€ Ship agentic workflows weekly
~5 min
To first runtime
10ร—
Faster delivery
BYOC
Your VPC, your rules
30-50%
Less platform work
โ†‘ Eng Focus
Shift to features
SOC2-Ready
Governance baked in
MCP-Native
Open & extensible

From zero to AI-ready runtime in minutes

One platform, three deployment paths. Start lightweight, then graduate to a dedicated or BYOC runtime, no code changes.

  1. 1

    Start in the Cloud Free

    Spin up a managed multi-tenant runtime instantly. Deploy your first MCP server and ship a real workflow in under five minutes.

    Live Runtime
    MCP server LLM Webhook
  2. 2

    Upgrade to a Dedicated Runtime

    Isolate workloads, invite your team, and unlock RBAC, SSO, audit logs, and SLAs, all in our managed cloud.

    Dedicated Runtime
    RBAC SSO Audit Autoscale
  3. 3

    Go BYOC Your VPC, Your Rules

    Deploy NimbleBrain directly into your Kubernetes cluster with our Helm chart. Keep data in your perimeter and integrate internal systems securely.

    BYOC Runtime
    Helm Private VPC Compliance Partners

Built for teams. Built for scale.

The secure runtime layer that makes MCP practical in the enterprise.

๐Ÿง 

Open, MCP-Native Runtime

Standards-first orchestration. Add or build MCP servers, expose internal systems safely, and avoid lock-in.

Open source core Tool registry Extensible
๐Ÿ›ก๏ธ

Enterprise Controls

Workspace isolation, RBAC, SSO/SAML, audit logs, key management. Designed for regulated environments.

RBAC SSO Audit
โ˜๏ธ

Kubernetes-Native

Helm-install, autoscaling, and best-practice networking. Run managed or BYOC in your VPC.

Helm Autoscale Private VPC
โšก

Agentic Workflows

Compose LLMs, data, and tools into production workflows. Ship use-cases weekly, not quarterly.

Playbooks Observability Retry & guardrails
๐Ÿ”—

Connect Anything

SaaS APIs, internal microservices, databases, data lakes, ticketing, chat, all as MCP tools.

Postgres Snowflake GitHub/Jira/Slack
๐Ÿ“ˆ

Observability & SLAs

Tracing, metrics, and logs out of the box. Understand cost, latency, and reliability across agents.

Tracing Metrics SLOs

Start small. Scale without friction.

Same APIs across plans. Seamless upgrade to Dedicated and BYOC, no code changes.

Starter

Free

  • 1 runtime (multi-tenant)
  • 1 MCP server
  • 1,000 agent calls
  • Community support
Get started

Developer

$199/month

  • Multi-tenant runtime
  • Up to 5 MCP servers
  • 10,000 agent calls
  • Email support (2-day)
Start building

Scale

$799/month

  • Dedicated managed runtime
  • RBAC, SSO, audit logs
  • 100,000 agent calls
  • SLA & autoscaling
Go Scale

Enterprise

Custom

  • BYOC runtime (your VPC)
  • Dedicated cluster(s)
  • Compliance & SSO/SAML
  • Partner-led deployment
Talk to Sales

All plans include full API/CLI access and a zero-friction upgrade path to Dedicated and BYOC.

Answers for builders & buyers

Short, straight answers to the most common questions.

What exactly is the NimbleBrain Runtime?
The open, Kubernetes-native runtime for MCP servers. It gives you a secure orchestration layer to plug tools, data, and LLMs together, managed in our cloud, or deployed as BYOC in your VPC.
How do the plans map to deployment?
Starter/Developer: multi-tenant runtime for fast builds. Scale: dedicated managed runtime with RBAC/SSO/audit. Enterprise: BYOC runtime in your K8s cluster with partner-led rollout.
Can we self-host and still use Studio?
Yes. Studio talks to your runtime via the same APIs whether it's managed or BYOC. No code changes when you migrate.
What security & compliance are supported?
Workspace isolation, RBAC, SSO/SAML, audit logs, KMS-backed secrets. BYOC lets you keep data inside your perimeter. We align to SOC2 practices and can support HIPAA/ISO needs in Enterprise.
How do I get started with MCP servers?
Browse our server registry, pick a connector, and deploy it with one click. We have 100+ pre-built MCP servers for databases, APIs, and SaaS tools. You can also build your own.
What's the difference between Studio and Runtime?
Studio is the management UI for deploying and monitoring your MCP infrastructure. The Runtime is the Kubernetes-native execution environment where your MCP servers and workflows actually run.

Stop wiring glue code. Start deploying runtimes.

Launch in our cloud today, and graduate to your VPC when you're ready. Same APIs. No lock-in.

View open source runtime architecture