Gluesync Enterprise Brain · AI Hub · Gluesync 2.3

Answers without waiting for the next BI view.

Executives can finally get a tool that answers questions without waiting months for a new BI view or another spreadsheet estate. The Enterprise brain begins where Gluesync is already strong, integrating databases, and extends without limits through the skills and company tools you plug in while in platform.

One brain · Every AI tool

The foundation for all of your AI tools.

Grok bots, Meta Muse, Claude, ChatGPT, Hermes Agent, OpenClaw, Cursor: they can all talk to the Gluesync Enterprise Brain and get immediate answers based on company shared knowledge. The good thing? You own it, you control it, it is not SaaS. It is yours, under your own rules.

  • Anthropic

    Claude

    Claude Desktop, Claude Code, and Claude in the browser connect over Streamable HTTP with a Core Hub token.

  • OpenAI

    ChatGPT

    ChatGPT connectors and the OpenAI Agents SDK call the same tools; the OpenAI-compatible model API remains available beside them.

  • xAI

    Grok

    A Grok bot in your workspace asks the brain for the tables behind a forecast instead of guessing from a spreadsheet.

  • Meta

    Meta Muse

    Meta's personal agent can delegate company questions to a published Spark agent and return the answer in the chat it already lives in.

  • Nous Research

    Hermes Agent

    Open agent frameworks register Core Hub as an MCP server and inherit the caller's permissions on every call.

  • Open source

    OpenClaw

    Self-hosted agents keep the whole loop on-premises: the agent, the brain, and the databases it reasons about.

  • Developer tools

    Cursor

    Engineers ask which table a report reads before touching the schema, straight from the editor.

  • Gluesync

    Spark

    The in-product agent layer uses the brain on every turn: memory, schema graph, skills, and approved company tools.

Every client uses the same door: the Core Hub MCP server, with the caller's token. See how to connect →

What the brain is made of

Databases first. Then everything your company knows.

01

Begins where we are strong

Schema graph

Gluesync already integrates your databases. The brain walks their schemas into one graph of tables, columns, and keys, page by page, resuming where it stopped, never loading a whole estate into memory.

02

Learns while people work

Shared memory

When an agent answers, it remembers the route: which tables, which filter, which procedure. The next person asks and starts from there. Memory stores location and procedure, never result rows or secrets.

03

Extends without limits

Skills

Publish reusable skills, or let an agent publish the procedure it just executed. Every skill is immutable and versioned, and the chat links straight to it.

04

Plugs into your company

Company tools

Register approved HTTPS MCP servers such as GitLab or Notion while in platform. Discover their tools, bundle the ones you want, and refuse every host you did not list.

Company tools · Day one

69 enterprise tools, ready the day you switch it on.

Every tool below is a vendor-hosted MCP server that ships as a preset in the AI Studio company tool catalog, across 10 categories. Pick it, paste the token the vendor issues, and the brain can call it under the caller's permissions and your host allow-list. Any other HTTPS MCP server can be registered by hand.

  • Slack Collaboration
  • Gmail Collaboration
  • Google Chat Collaboration
  • Google Calendar Collaboration
  • Google Contacts Collaboration
  • Intercom Collaboration
  • Fireflies Collaboration
  • Granola Collaboration
  • Notion Productivity
  • Google Drive Productivity
  • Google Docs Productivity
  • Google Sheets Productivity
  • Google Slides Productivity
  • Box Productivity
  • Todoist Productivity
  • Zapier Productivity
  • GitHub Engineering
  • GitLab.com Engineering
  • GitLab (self-managed) Engineering
  • Azure DevOps Engineering
  • Bitrise Engineering
  • Semgrep Engineering
  • Postman Engineering
  • Vercel Engineering
  • Netlify Engineering
  • Render Engineering
  • Heroku Engineering
  • DigitalOcean App Platform Engineering
  • Linear Project management
  • Atlassian (Jira & Confluence) Project management
  • Asana Project management
  • ClickUp Project management
  • monday.com Project management
  • Airtable Project management
  • HubSpot CRM & marketing
  • Close CRM & marketing
  • Resend CRM & marketing
  • Shopify CRM & marketing
  • Stripe Payments
  • PayPal Payments
  • Square Payments
  • Paddle Payments
  • MongoDB Atlas Data & databases
  • Neon Data & databases
  • Supabase Data & databases
  • Prisma Postgres Data & databases
  • Convex Data & databases
  • DigitalOcean Databases Data & databases
  • Hugging Face Data & databases
  • Sentry Observability
  • Grafana Observability
  • Datadog Observability
  • Rootly Observability
  • Cloudflare Observability Observability
  • Figma Design & content
  • Canva Design & content
  • Webflow Design & content
  • Contentful Design & content
  • Sanity Design & content
  • Storyblok Design & content
  • Wix Design & content
  • Tavily Web & search
  • Exa Web & search
  • Firecrawl Web & search
  • Bright Data Web & search
  • Context7 Web & search
  • DeepWiki Web & search
  • Perplexity Web & search
  • Cloudflare Docs Web & search
How company tools are governed →

Product names and logos are trademarks of their respective owners and indicate a vendor-published MCP server, not a partnership. Presets follow the vendors' published endpoints and may change.

Who it is for

One question. The whole company gets smarter.

01

Executives

Ask today's question today.

"How did Q3 forecast compare to bookings by region?" gets an answer grounded in the tables that hold it, not a ticket for a new BI view and not another spreadsheet estate.

02

Data teams

Stop rebuilding the same context.

The schema graph and the memory grow with use. Analysts spend their time on the questions nobody has asked yet, not on explaining which table means what.

03

IT and security

Keep one boundary.

Every question runs under the caller's Core Hub role. Private memories stay private, remote writes wait for approval, and telemetry carries identifiers and counts only.

You own it

Not SaaS. Yours, under your own rules.

The brain is a dedicated database beside your Core Hub data, inside your infrastructure. Models come from your own vault. Memory records location and procedure, never rows, never secrets. Nothing about your schema leaves the building unless you decide it should.

Ownership and privacy →
  • Your infrastructure
  • Your models
  • Your permissions
  • Shared by default, private on request
  • No rows, no secrets
  • Keyword search always on
  • Embeddings optional
  • Remote writes wait for approval

FAQ

Enterprise brain: questions we hear

What is the Gluesync Enterprise Brain?

A shared knowledge layer inside Gluesync Core Hub. It maps every connected database into one schema graph, keeps the procedural memories agents build while working, holds the skills you publish, and admits the company tools you approve. Every Spark agent and every external MCP client draws on the same brain, under the caller's permissions.

Does it send my data to MOLO17 or to a model vendor?

No. The brain lives in a dedicated database beside your Core Hub data, on your infrastructure. It stores table names, keys, and procedures, never result rows and never secrets. Model calls go to the providers you configured in your own vault, and embeddings are optional.

Which AI tools can use it?

Any client that speaks the Model Context Protocol: Claude, ChatGPT, Grok, Meta Muse, Hermes Agent, OpenClaw, Cursor, and the in-product Spark agents. They call the Core Hub MCP server with a token, and Core Hub answers with that user's RBAC applied.

How is this different from a BI view or a data warehouse?

A BI view answers one question you predicted months ago. The brain lets an executive ask the question they have today, and the agent finds the tables, joins, and procedure that answer it, then remembers the route for the next person. The warehouse and the reports stay; the wait disappears.

Is memory shared with everybody?

Memory is shared by default across everyone who uses an agent, because that is how a company learns. Say "keep this private" and that memory stays yours. Conversations are always private to their owner.

Do I need an embedding model?

No. Keyword search over table names, columns, and foreign keys is always available. When you configure a model with the embeddings capability, Gluesync suggests switching so questions that share no words with a table can still find it. Your chat model stays independent of that choice.

Gluesync Enterprise Brain

Your data already knows the answer. Now your AI tools can ask it.

The Enterprise brain ships with Gluesync 2.3 as part of AI Hub. Start from the databases you already integrate, connect the AI clients your teams already use, and keep every answer under your own roof.