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Guide

In-product connectors versus MCP servers

A packaged connector is installed and governed inside the AI product. An MCP server is a standards-based service that an assistant calls as a tool, and may be run by a vendor, a third party, or your own team. The difference matters most for governance.

Both approaches end in the same place — an assistant reaching a system it does not own — but they get there differently, and the differences show up in procurement and governance rather than in the chat window.

Packaged connectors compared with MCP servers
DimensionPackaged connectorMCP server
Who operates itThe AI platform vendorThe tool vendor, a third party, or you
Where it is enabledIn the assistant's settingsBy registering a server endpoint
Typical governanceVendor admin controlsYour own deployment and access controls
PortabilitySpecific to that platformAny client implementing the protocol
CustomisationFixed feature setYou define the tools exposed

Choosing between them

  • Prefer a packaged connector when the capability you need already exists and centralised administration is an advantage.
  • Prefer an MCP server when you need tools that no gallery offers, or when the data must not leave infrastructure you control.
  • Treat a self-hosted server as production software: it needs an owner, monitoring, and a patching plan.

Connector Scout records the connection type

Every connection record stores its connection type, so a first-party connector is never presented as equivalent to a third-party automation or a self-hosted MCP server.

Questions

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