Gumstack: Enterprise MCP
MCP lets AI agents connect to anything. Gumstack makes sure your company stays in control while it happens.
The Problem: You Can’t Secure What You Can’t See
MCP is powerful — but power without visibility is a risk. As companies adopt AI agents, they hit the same wall:
- No visibility — who’s using which tools? Which AI clients are accessing your CRM? How many calls are agents making to your database?
- No control — how do you restrict which teams can use Salesforce tools vs. Snowflake tools? Who approves new access?
- No easy deployment — building an MCP server is one thing. Getting it running securely in production with encrypted secrets and auto-scaling is another.
- No discovery — even when teams build great MCP servers internally, nobody else knows they exist. AI adoption stalls.
These aren’t hypothetical problems. They’re what every CIO, IT admin, and security leader asks about before signing off on AI at scale.
Gumstack is the answer. It’s Gumloop’s MCP control plane — a single platform where companies can observe, govern, deploy, and discover every MCP integration across their organization.
What Gumstack Does
See Everything
Gumstack gives CIOs and security leaders a single dashboard showing every MCP tool call across every client — Gumloop, Claude Desktop, Cursor, Microsoft Copilot. See who’s using what, how often, and from where. Filter by user, department, or integration. Track costs, latency, and error rates — all in one place.
Control Access
IT admins create permission groups that control exactly which teams can use which tools. The design team gets Figma access. Sales gets Salesforce. New integrations go through approval workflows with full audit trails. Anomaly detection flags unusual behavior — mass downloads, off-hours usage, suspicious access patterns.
Deploy in Minutes
Internal tool builders connect a GitHub repo, and Gumstack handles the rest — building, deploying, scaling, and hosting. Each server gets a secure URL that works in any MCP client. Secrets are encrypted. Scaling is automatic. Deploy a custom MCP server in about 10 minutes, not weeks.
One Place for Everything
Business users get immediate access to Gumloop’s library of 120+ pre-built, battle-tested MCP servers — Gmail, Slack, Salesforce, Apollo, Zendesk, Stripe, Snowflake, and more. No rebuilding. No configuration headaches. And as vendors release their own official MCP servers, Gumstack integrates those too.
Who Cares About What
Different people in a company need different things from Gumstack:
| Stakeholder | Their question | What Gumstack gives them |
|---|---|---|
| CIO / CISO | ”Which AI clients are touching our data?” | Centralized dashboard showing all tool calls across all clients and users, with cost controls and analytics |
| IT Admin | ”How do I control who uses Salesforce tools?” | Permission groups, approval workflows, department-level access, and anomaly detection |
| Internal Builder | ”How do I get this live without managing infra?” | GitHub integration, automated builds, encrypted secrets, auto-scaling — deploy in minutes |
| Business User | ”Can I just use Gmail/Slack/Sheets in my agent?“ | 120+ verified integrations ready to connect, no setup needed |
Why Gumloop Built This
Most companies approach MCP like they did SaaS in 2010 — tools proliferate, shadow IT grows, and security teams scramble to catch up. Gumstack flips that on its head with four principles:
1. Full-stack ownership creates better outcomes
Gumloop owns both the AI client (where agents run) and the infrastructure layer (where tools live). This means tighter integration, faster iteration, and experiences that fragmented solutions can’t match.
2. Measure every agent
Security leaders shouldn’t need to check multiple dashboards across multiple systems. Gumstack provides a single pane of glass to measure and manage all AI tool usage — regardless of which client is being used.
3. Control enables adoption
The companies that win with AI don’t block it — they enable it safely. When IT has the controls they need, business teams get the green light to move fast. Control isn’t the opposite of adoption — it’s the prerequisite.
4. Infrastructure should be invisible
Deploying a custom MCP server should feel like deploying a website. Push code, see changes. No infrastructure complexity, no DevOps overhead. Commit and ship.
”Can your AI tools connect to our systems?” — Yes, through MCP. “Who controls access?” — IT does, through Gumstack. “Can we see what’s happening?” — Everything, in one dashboard. “How fast can we deploy a custom integration?” — About 10 minutes.”
What’s Under the Hood
For the technically curious, here’s what Gumstack runs behind the scenes:
| Component | What it does |
|---|---|
| Build Orchestrator | Clones repos, builds Docker images, pushes to artifact registry |
| Deployment Manager | Manages auto-scaling services with configurable replicas and health checks |
| Auth Proxy | Handles OAuth flows and credential storage for external services |
| Analytics Engine | Tracks tool calls with latency percentiles and error rates |
| Encrypted Secrets | Environment variables encrypted via KMS before storage |
| Permission Groups | Tool access matrix with approval workflows and escalation |
Every custom server gets its own isolated deployment with a unique MCP server URL that works in any compatible client — Gumloop, Cursor, Claude Desktop, or Microsoft Copilot.