What the agent gets
- Metrics: automated resolution rate, CSAT, containment, and engaged conversation volume, with conversation-level metadata.
- Conversations: filtered conversation lists and full transcripts.
- Knowledge and coaching: search across your knowledge articles and coaching entries.
- Configuration: Playbooks, tools, custom instructions, topics, variables, handoffs, and the other entities your Ada AI Agent is built from.
- Change sets and tests: staged and promoted change sets, metric comparisons against baseline, test cases, and test run results.
Setup
Nothing to configure in Ada. Rippit registers itself as an OAuth client automatically, so a Full Admin only supplies the URL and signs in.- Find your Ada instance domain: the address you use to log in to the Ada dashboard, such as
acme-corp.ada.supportoracme-corp.eu.ada.support. - Add
/api/mcp/oauthto it. Your MCP server URL looks likehttps://acme-corp.ada.support/api/mcp/oauth. - In Rippit, go to Connections → MCP Servers, choose Ada, and paste the URL. Rippit accepts only an
ada.supporthost ending in/api/mcp/oauth. Ada’s/api/mcpURL is for API keys and cannot complete Rippit’s sign-in. - Click connect and log in with your Ada account.
Identity and scope
The connection acts as the Ada user who authorized it, and your Ada dashboard role decides which tools appear. Owners and Admins see every tool, including the ones that make changes. Users with the Agent or Read Only role see the read tools only, and a role change in Ada applies on the next tool call without reconnecting. An organization-wide connection shares that Ada user’s access with everyone using the agent. Authorize with an account whose access you are comfortable extending that far. The scope you choose at setup decides whether Agent Apps can use the connection, exactly as with every other connector.Tools
Ada marks its read tools as read-only, and those start enabled. Manage tools on the connection card lists every tool your connection has.
Tools that Ada does not mark read-only start off. They include
edit_agent_behavior, which stages edits to knowledge, coaching, Playbooks, and custom instructions, then promotes or reverts them, and edit_agent_config, which changes settings such as topics, test cases, and scorecards, triggers test runs, and applies immediately. Turn a tool on in Manage tools only if you want the agent to take that action.