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Use MCP servers

Learn how to connect MCP servers and control which tools Pod can use at runtime.

Written by Patrick Monnot
Updated today

MCP servers let Pod connect to external tool providers and discover the runtime tools your AI workflows can use. This is the right workflow when you want to extend Deal Agent runtime with capabilities that live outside Pod.

How to access

  1. Open Pod.

  2. Go to Settings.

  3. Select MCP Servers.

How to connect a server

  1. Choose the Personal or Org-wide tab.

  2. Click Add Personal Server or Add Org-wide Server.

  3. Choose a setup path:

    • Directory searches the official MCP registry.

    • Manual Entry lets you paste a remote MCP server URL yourself.

  4. Choose the right authentication mode for the provider.

  5. Save the server and complete OAuth if the provider requires it.

How tool access works

After a server is connected, Pod discovers runtime-eligible tools from that server.

  • Use the server-level switch to enable or disable the full server.

  • Expand the server card to review Discovered tools.

  • Use the per-tool Enabled switches to decide which tools Pod can actually use at runtime.

  • Use Refresh server when auth changes or the upstream tool list changes.

Personal vs org-wide servers

  • Personal servers are for your own workflows.

  • Org-wide servers are shared across the workspace.

  • Only workspace admins can add or manage org-wide servers.

Some shared OAuth setups can depend on an admin-owned grant. If that provider grant is revoked, the shared server can stop working for the whole workspace.

When to use MCP servers

  • when you want agents to reach external systems at runtime

  • when you need tool access that is broader than Pod's built-in product context

  • when a workflow should be available only to you or shared across the workspace

If you still need the saved AI workflow itself, start with Build a new agent.


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