Platform · AI Agent API

Your floor, queryable
by any agent.

The AI Agent API is a remote MCP server that exposes every metric, ticket, classifier, and conversation in Qvasa:

  • OAuth 2.1 with a scope picker at consent
  • Permissions follow the user, an agent never sees more than its human
  • Connect Claude, Gemini, or any MCP client in about six clicks
01

Connect

Three install paths, and the fastest is about six clicks in Claude's settings. No token to copy.

Connect by URL
Claude settings, pick your scopes
One-click bundle
qvasa-mcp.mcpb for Claude Desktop
CLI
uvx qvasa-mcp, PyPI
02

Ask & build

Agents answer metric questions, build dashboards and calculated metrics, and create AI classifiers that backfill your history. They configure SLAs and alert routing too.

Orient
qvasa_search_tools
Query
qvasa_query_metric
Build
Dashboard built · 12 widgets
03

Teach

Runbooks are account-level playbooks any user's agent reuses. Attribute aliases teach the account your vocabulary, and errors ship recovery hints.

Runbook saved · reusable by every agent
Alias: brand → workflow_tag
Error envelopes carry next steps
36Permission scopes
7Tools in the portal
3Install paths

Put an agent on the floor.

Start free, or see it on your own queues in a 30-minute demo.