Technology

We don't just use tools.
We build them.

Three open-source products, one composable stack. Client engagements run on infrastructure we wrote.

Open source is the trust model.

Enterprise clients need to audit the infrastructure they depend on. Our entire stack is public. Inspect it, export it, self-host the whole thing. No black boxes.

Conversation replaces configuration.

Natural language defines apps, distributes them, and operates them. JSON schemas describe what you want. Skills describe how. The framework handles plumbing.

Deep Agent™ Architecture

AI that builds AI. Our systems generate their own tools, scan their own code, and orchestrate their own workflows. Recursive by design.

BUILD

Upjack

Define AI apps as JSON schemas and natural language skills.

DISTRIBUTE

mpak

Package, scan, and publish MCP servers as trusted bundles.

OPERATE

Studio

Orchestrate agents and integrations with conversation.

Open Standards

Built on MCP and open protocols.

We build on the Model Context Protocol, the emerging standard for connecting AI to tools and data. Every integration we ship is an MCP server. Every bundle is an open package. Every security scan runs against a public framework. No proprietary wire formats, no vendor lock-in.

MCPB
Open packaging standard for reproducible MCP distribution
Skills
Natural language definitions that compose into agent behavior
JSON Schema
Declarative app definitions using a standard the industry already knows
Apache 2.0
Every product open source, auditable, self-hostable
Upjack framework homepage showing declarative AI app development
UPJACK

Declare the app. Skip the boilerplate.

Give Upjack a JSON schema and a set of natural language skills. It generates the MCP tools, validation, and agent behavior. You describe the domain. It does the rest.

upjack.dev
mpak registry showing MCP server search with trust scores
MPAK

Trusted distribution for MCP servers.

The secure registry for MCP servers and skills. Bundles are scanned against 25 automated security controls before publication. Version-pinned dependencies, reproducible installs, public trust scores.

terminal 
$ mpak search postgres
NAME                    VERSION  TRUST  DESCRIPTION
@mcp/server-postgres    v0.6.2   L3     PostgreSQL database access
@community/pg-admin     v1.2.0   L2     PostgreSQL admin tools
@community/pg-migrate   v0.3.1   L2     Schema migration runner

$ mpak install @mcp/server-postgres
✓ Bundle verified (25/25 security controls passed)
✓ Installed to .mcpb/
mpak.dev
You

Pull my Zoho CRM pipeline report for Q1.

Agent

Here's your Q1 pipeline: 34 open deals, $1.2M weighted value. 8 closing this month. Full report attached.

STUDIO

Conversational automation.

Connect your systems, then describe what you want in plain language. Studio orchestrates the agents, tools, and integrations. Actions logged, decisions traceable.

GitHub

Deployed against these systems in production.

We integrate with your existing stack in production. These are the systems, packaged as MCP servers and distributed through mpak.

CRM & Sales
Salesforce HubSpot Apollo Zoho CRM
Productivity
Slack Notion Google Sheets Google Drive Asana Airtable Jira
Customer Success
Zendesk Intercom
Commerce & Finance
Shopify QuickBooks
Data & Infrastructure
PostgreSQL ClickHouse GitHub

If it has an API, we can connect it. These are just some of the ones we've shipped.

See the code. Or start a conversation.

Start a conversation

Or email directly: hello@nimblebrain.ai