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How should MCP servers store credentials?

The fastest way to make an MCP demo work is to put a powerful credential close to the tool. The fastest way to make an MCP deployment fragile is to leave it there. For production MCP servers, I’d separate four identiti

The fastest way to make an MCP demo work is to put a powerful credential close to the tool.

The fastest way to make an MCP deployment fragile is to leave it there.

For production MCP servers, I’d separate four identities:

  • the human user
  • the AI client session
  • the MCP server identity
  • the downstream database/API role

If those collapse into one shared secret, access control and audit trails get vague fast.

A safer pattern:

  • keep secrets in a vault or managed secret store
  • never expose raw credentials to the model
  • use scoped downstream roles
  • start read-only for database access
  • log user/workspace/tenant/tool/source/result shape
  • rotate centrally
  • prefer temporary credentials where possible

The model should not “know” the secret. The MCP server should know how to request the narrow access needed for the tool call.

Longer version: How to store credentials for MCP servers

MCP credentials are not config trivia. They are production access.

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