The MCP gateway for enterprise AI

Shape the data the outside world feeds your AI.

Left to itself, an assistant searches and scrapes — pages, ads, guesswork. Nødebo connects it to the sources instead: structured MCP answers, in exactly the shape and size each request needs.

Built on the open Model Context Protocol · Works with any MCP-capable assistant — Claude, ChatGPT, Copilot, IDE agents

Example

“Compare Q2 revenue by region with ECB rate moves.”

Routed through the gateway

Identity checkrole: sales analyst ✓
crm.querycompany CRM
rates.fetchECB connector

Two structured answers straight from the source — ~1,400 tokens, instead of ten scraped pages the model has to guess from.

Logged: who asked, which tools ran, what was touched

The problem

Junk in. Confident junk out.

Without shaped inputs, your AI answers from stale training data and whatever a search crawl dragged in — and it sounds sure either way.

Search isn’t data

A search result is a webpage — markup, ads, cookie banners. The model summarizes whatever it managed to read.

No provenance

Numbers arrive with no origin. Nobody can say which source — or which year — an answer came from.

Token landfill

Whole pages and documents get shoveled into the prompt. You pay to process noise, request after request.

Everyone wires their own

Ten employees, ten ad-hoc setups, ten different answers to the same question — keys on laptops, no record of any of it.

What Nødebo actually is

An MCP gateway in the middle of everything.

Assistants on one side. Sources on the other. Nødebo sits between them — inside your perimeter, at the edge — and every request to the outside world passes through it: shaped, metered, logged.

Your company

Your people’s assistants

  • Claude
  • ChatGPT
  • Copilot
  • IDE agents

Nødebo

MCP gateway · one endpoint

Internal systems

  • CRM & ERP
  • Docs & wikis
  • Internal APIs

The outside world

  • Data providers
  • Public APIs
  • SaaS tools
99 connectors

One request, end to end

nødebo — gateway session· 1/12Example
>Which of our active suppliers appear on the latest sanctions updates?
⏺ auth ok · procurement-lead@acme.example · scope: erp, sanctions
⏺erp.suppliersinternal ERP214 active · 96ms
⏺sanctions.screenOpenSanctionsΔ 30 days · 310ms
⏺ context ~1.1k tokens · provenance attached · request logged
⏺Two matches: “Baltika Freight OÜ” (added Aug 12) and “MZT Components Ltd” (Aug 19).

Both flagged for review — source records attached, cost metered.

>▍
Claude · ChatGPT · Copilot · IDE agentsnødeboCRM · ERP · docs · 99 connectors

What the gateway does to every request

From the source

MCP connectors query systems of record directly — no scraping, no guessing.

Shaped to fit

Only the fields a request needs enter the context window. The noise never does.

Provenance built in

Every answer traceable to the source, the query, and the person behind it.

Skills vault

Reusable, versioned skills your teams share — reviewed before they ship, audited when they run.

Agentic skills

Agents work from Nødebo-hosted skills — they know the procedure, remember what they’ve done, and stay under the same scopes, logs, and meters.

Managed & metered

Credentials vaulted, access scoped by role, usage and cost visible per team.

Why Nødebo

Control, cost, and compliance — one layer.

Three measurable wins, from the first week: your IT owns the connections, your finance team sees the spend, your security team reads the log.

Control

Managed AI connectivity

Every third-party connection, one governed layer.

Your organization’s AI reaches dozens of outside services — CRMs, data providers, the tools your teams use every day. Nødebo manages all of those connections in one place: credentials vaulted centrally, access scoped by role, integrations added or revoked in minutes.

  • One managed connection per vendor — not one per employee
  • Credentials vaulted centrally, never on laptops
  • Add, swap, or revoke an integration in minutes

Cost

MCP-native savings

Structured answers, not scraped pages.

A search result is a page your model has to guess from; an MCP response is data. Built on the open Model Context Protocol, Nødebo returns structured answers from real sources — exactly what each request needs, keeping context windows lean and token spend down.

  • Answers from the source, not the crawl
  • Smaller context windows, lower per-request cost
  • Spend metered per team, model, and source

Compliance

AI activity audit

Shadow AI, made visible.

When employees’ assistants reach beyond corporate systems — public data, outside APIs, third-party tools — Nødebo records the touchpoint: who asked, what was accessed, and what came back. Unsanctioned AI activity becomes visible, reviewable, and governable.

  • Full trail of AI access to non-corporate resources
  • Role-based permissions decide who may reach what
  • Reviewable logs for security and compliance teams

The plain truth

We don’t wall your AI off from the world.
We shape what the world sends it.

Search results are not systems of record. MCP connectors hand your model structured data from the source — smaller, truer, traceable.

Connectors

Connect the sources, not the search bar.

99 MCP connectors are live today — authoritative sources your AI queries directly, in structured form.

Browse all 99 connectors

Your internal systems — CRM, ERP, wikis, homegrown APIs — join as private connectors during onboarding. Nødebo develops and maintains those MCP servers, and stands behind them.

Who it serves

Built for the people who own the problem.

AI governance lands on three desks. Nødebo gives each one its own handle on the same gateway.

IT & platform teams

Own every integration from one console.

  • Onboard a tool once — every approved assistant can use it
  • Rotate or revoke a credential in one place
  • Kill all of a leaver’s AI access with their account

Finance

Finally see what AI actually costs.

  • Token spend broken down per team, model, and connector
  • Lean, on-demand context instead of preloaded everything
  • One bill you can attribute, not invoices nobody owns

Security & compliance

Review any AI touchpoint outside your walls.

  • Full log of employee-AI access to external resources
  • Role scopes decide who may reach which tools
  • Evidence you can hand to an auditor, not a shrug

How it works

Live in an afternoon, not a quarter.

01

Connect your assistants

Point any MCP-capable assistant — Claude, ChatGPT, Copilot, IDE agents — at your Nødebo endpoint. One URL, one key per person.

02

Approve tools and sources

Choose which tools, apps, and data sources each role may use. Vendor credentials go into the vault once — never onto laptops.

03

Watch it run

Requests route through the gateway: tools load on demand, context stays lean, and every call lands in the audit log and the cost dashboard.

The MCP gateway for enterprise AI

Feed your AI the real thing.

Bring one source your teams rely on. We’ll wire it through Nødebo in a working session — and you’ll watch structured answers replace scraped guesses, on your own data.