BusinessMCP

How-to

How to Expose Your Business as an MCP Endpoint

Give any AI agent safe, governed access to your real business. This guide walks through connecting your sources, unifying the data, and exposing it all as one MCP endpoint.

9 min readJuly 19, 2026

What "exposing your business as an MCP endpoint" means

Exposing your business as an MCP endpoint means giving AI agents a single, authenticated door into your live operations — your analytics, customers, campaigns and revenue — through the open Model Context Protocol. Instead of copy-pasting reports into a chatbot, you let the agent query the source directly and safely.

The key word is safely. Exposing your business does not mean handing an agent your raw database or your Stripe secret key. It means presenting a curated set of tools with defined inputs and outputs, behind an auth layer you control, with every call logged. The agent gets capability, not credentials.

BusinessMCP is built for exactly this. You connect your sources once, the platform unifies them into a hosted MCP server, and you get a company endpoint at /api/mcp that any external agent can consume with a mcph_ Bearer key.

Step one: connect and unify your sources

Start in the Connections area of your dashboard. The one required source is the tracking script — a roughly one-kilobyte, cookieless snippet you paste onto your site. It mints a persistent visitor id, honors Do-Not-Track and Global Privacy Control, and streams pageviews and conversions into your first-party analytics.

From there, connect the sources that matter to your business: Stripe for revenue, Google Search Console for organic search, your ad platforms for spend and performance, and any managed connectors like GitHub, Slack or your CRM tools. Each connection is authorized via OAuth or an API key stored server-side; you never expose those credentials to the agent.

As data flows in, the platform does the reconciliation. The identity graph stitches a visitor id to an email to a Stripe customer, revenue is attributed back to its channel, and daily rollups keep everything queryable. This is what makes the endpoint useful rather than a pile of disconnected feeds.

Step two: control what the endpoint exposes

A good MCP endpoint is deliberately scoped. BusinessMCP namespaces every connector tool and enforces a per-connection allowlist, so you decide precisely which operations an agent can perform. Expose read-only analytics and CRM lookups for a reporting agent; leave write and send tools disabled unless you truly need them.

Sensitive actions can be gated behind approval. Operations like sending email or launching an ad campaign can require an explicit human decision before they execute, so an agent can propose but not unilaterally act. This lets you open the endpoint to automation without surrendering control of consequential actions.

Keys are your other lever. Issue a distinct mcph_ key per agent or integration, each scoped to your workspace and subject to row-level security. If one leaks or an integration is retired, revoke that single key without disturbing anything else.

Step three: go live and connect an agent

Once your sources are connected and your tools scoped, your endpoint is live at /api/mcp. Grab a Bearer key from Settings and point an agent at it. For Claude Desktop, that means an entry in the MCP config; for the Claude API or a custom agent, it means passing the URL and Authorization header in your MCP client setup.

The endpoint advertises its capabilities through the standard protocol, including a well-known OAuth protected-resource document, so compliant clients can discover how to authenticate. From the agent side, connecting is a matter of the URL and the key; from your side, it is already done.

Test with a question that requires real data — revenue this month, top converting channel, newest leads. A correct, specific answer confirms the whole chain: source connected, data unified, tool exposed, agent authorized.

Why this beats one-off integrations

You could wire each AI tool to each source individually, but that scales badly: every new model and every new source multiplies the integration work, and each seam is a place credentials can leak. A single unified endpoint collapses that matrix into one connection you maintain.

It also future-proofs you. The endpoint is model-agnostic, so switching or adding models costs nothing on the data side. And because it is centralized, governance — logging, scoping, revocation, approvals — lives in one place instead of being scattered across scripts. You expose your business once, and every agent you ever run inherits the same safe surface.

Frequently asked questions

Is it safe to expose my business to AI agents this way?

Yes, when done through a governed layer. BusinessMCP keeps source credentials server-side, exposes only scoped tools you allow, gates sensitive actions behind approval, logs every call, and isolates each workspace behind row-level security and its own Bearer keys.

What is the endpoint URL and how do agents authenticate?

Your company endpoint lives at /api/mcp and authenticates with a workspace-scoped Bearer key prefixed mcph_. Compliant clients can also discover the auth requirements via the standard well-known protected-resource document.

Can I limit an agent to read-only access?

Yes. Each connection has a tool allowlist, so you can expose read-only lookups and leave write or send tools disabled. Consequential actions can additionally require human approval before they run.

Turn your business into one AI-ready MCP server

Connect your tools, install one tracking script, and expose your unified data to any AI agent through a single secure endpoint.

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