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Claude and ChatGPT both support multiple MCP connectors in the same session. Use Within for organizational context, then chain into another connector to act on what you found — without breaking out of the conversation. The pattern: Within provides the knowledge. Other connectors provide the action surface.

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Example prompts

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Why this works

A single MCP call answers a narrow question. A chain across connectors produces a deliverable. The MCP layer is stateless per call, so the assistant can fan out and combine results freely in one turn. For each example above, the assistant typically:
  1. Searches and fetches the relevant process from Within.
  2. Pulls observations and recent changes for current-state grounding.
  3. Hands the synthesized context to the second connector to take action.

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Practical tips

  • Name the deliverable, not the tool. “Draft an email” is better than “use Gmail” — let the assistant pick.
  • Constrain by scope. “In our P2P value stream” or “owned by the finance team” gives the assistant a tractable subtree to walk.
  • Ask for citations. Within tools return process IDs, observation timestamps, and artifact IDs. A good deliverable threads those back in so the recipient can verify.