analysis and catalog) are on for every connection; the rest are off by default and enabled per connection.
Tool groups
analysis(default) — ask the data analyst agent questions, synchronous and streaming:ana,ana_ask,ana_poll.catalog(default) — discover the connectors you can query:list_connectors.sandcastle— run code and queries in a managed Python sandcastle: create, inspect, and stop sandcastles; run Python in a persistent kernel; load connector data or saved.tqlqueries from your Ontology into dataframes; run shell commands; read and upload files; and propose Ontology changes as a reviewable patch.ontology— review and govern proposed Ontology changes: list pending patches, read one, and approve, deny, or restore.
Scoping a connection’s tools
Scope a connection’s tools with the?toolsets= query parameter (or the X-MCP-Toolsets header) — name the groups you want, or use a keyword: all for every group, default for the default-on groups:
Dynamic mode
Let your assistant load tools on demand with?dynamic=1:
list_available_toolsets, get_toolset_tools, enable_toolset, and disable_toolset — and enables a group only when a task needs it, so your assistant keeps a small, relevant tool list instead of loading everything up front. Dynamic mode needs a client that supports MCP tool-list updates (Claude Code, Cursor, and the MCP Inspector all do). You can combine the two — ?dynamic=1&toolsets=sandcastle pre-enables a group in a dynamic session.
In dynamic mode the server also keeps track of your active sandcastle for the session, so you can call execute_python, run_query, and the other sandcastle tools without passing a sandbox_id — one is created automatically the first time you need it, and reused after.
Related
- Connecting a client — add Ana to your MCP client and authorize over OAuth.
- Managing access — review and revoke authorized clients.