The open protocol for other agents to query your knowledge base
Every BeforeQuery knowledge base publishes a public A2A AgentCard and accepts message/send calls. When another AI system — a customer's assistant, a partner's agent, an internal automation — needs your knowledge, it discovers your card and asks. No custom integration, no vendor lock-in, no plugin registry to petition.
How A2A works
A public AgentCard for discovery, a message/send endpoint for interop — grounded in the same knowledge base as the widget, bots, and MCP
Discoverable AgentCard
- GET /a2a/knowledge-bases/:kbId/agent-card returns the standard A2A card
- Describes what your knowledge base answers, in what languages, with what limits
- Public by design — the card is the discovery surface
- Cards can be listed in A2A directories (agent registries)
- Version-tagged so consumers know when the interface changes
message/send Endpoint
- POST /a2a/knowledge-bases/:kbId accepts the standard A2A message/send envelope
- Client-key authentication with revocable, scoped access
- Returns grounded answers with the same grounding as chat, MCP, or the widget
- Streams available for long-form responses
- Every call is a trace — same observability as the rest of the platform
Where A2A fits
- Agent frameworks that don't ship an MCP client can call A2A directly
- Partner integrations that shouldn't share your client-key can discover the card and negotiate access
- MCP and A2A live side-by-side — MCP for IDE / assistant integration, A2A for agent-to-agent flow
Your knowledge base as a citizen of the agent ecosystem
The AI ecosystem is moving from 'call my API' to 'discover my capability'. MCP standardises the assistant-inside-tool integration; A2A standardises the agent-to-agent flow. Publishing an A2A card means any compliant agent can find and query your knowledge base without a custom integration — the same way HTTP made every server findable without a proprietary protocol per website. It's the interop layer BeforeQuery bets on.
- AgentCard is the discovery contract — public, machine-readable, versioned
- message/send is the interaction contract — same schema across A2A-compatible agents
- MCP endpoint (Cursor / Claude / ChatGPT) and A2A endpoint (agent-to-agent) coexist
- Traces record every A2A call — observable by design
Deployed in production.
“Deployed on our docs site in an afternoon. Every answer shows the source, and the abstention gate means we've never had a customer complain about a made-up answer.”
“The knowledge base connected to our Slack, Confluence, and helpdesk in one setup. On-call teams get the same grounded answer whether they ask in chat, in the widget, or from Cursor.”
“The gap analytics turned into a real docs backlog. Deflection went up because we finally knew which pages were missing — the AI told us.”
Frequently Asked Questions
Common questions about A2A (Agent-to-Agent)
Publish your knowledge base as an agent
Create a knowledge base, issue a client key, and share the AgentCard URL — any A2A-compatible agent can now discover and query your docs.
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