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Connect an assistant

Set up a Weavers MCP connection, sign in, and try your first request.

Before you start

  • Use a Weavers account with a verified email address.
  • Use an assistant enabled for your Weavers deployment. The client must support remote Streamable HTTP and the configured OAuth sign-in flow.
  • Client registration and access are managed by Weavers. Adding a URL to an arbitrary MCP client does not register that client or grant access.

1. Add the Weavers connection

  • In your assistant's connection settings, add the Weavers connection supplied for your account. For a custom remote connection, use the server URL below and the client configuration supplied by Weavers.
  • Choose HTTP / Streamable HTTP if the application asks for a transport. Menu names depend on the assistant.
  • If your assistant is not available in AI connections, contact Weavers before attempting a custom setup.
1. Add the Weavers connection

https://www.weavers.app/api/mcp

2. Sign in and review access

  • Start authorization from your assistant. Follow the browser flow and sign in to your existing Weavers account.
  • Check which account and permissions are requested. Reading source code, previewing data, preparing drafts, and proposing code each require their own permission.
  • If your deployment asks you to link the connection first, open Weavers → AI connections, select Connect, and finish the confirmation in the same browser session.
  • Return to the assistant after authorization. You do not need to paste a Weavers password, browser cookie, or service token into a prompt.

3. Try a small first request

  • Ask the assistant to list your five most recently updated notebooks.
  • It should use list_my_notebooks and return titles from your account. The default Research Notebook can appear even if you have not saved it yet.
  • If the assistant asks for sign-in or an additional permission, complete that flow before retrying.
3. Try a small first request

Show me my five most recently updated Weavers notebooks.

4. Choose what to do next

  • Find a strategy project, then inspect its revisions and dataset versions.
  • Read source code or preview a dataset only when you want to share that information with the connected assistant.
  • For a draft or code proposal, open the returned Weavers link and review it there.
  • Manage or disconnect access at /settings/ai-connections. Disconnect blocks subsequent tool calls; it does not erase information already shared with the assistant.