Reactor for AI
The trust layer beneath Claude.
When Claude queries your data, hallucination is the failure mode. Reactor delivers versioned, lineage-tracked data products that Claude can reason on, and humans can verify.
Claude×ReactorMCPconnector
The pairing
Ask Claude. Answered by Reactor.
Claude can connect to data. Reactor makes the data trustworthy enough to use.
Claude on its own is a brilliant interface with no grounded data. Reactor on its own is trustworthy data with no natural-language surface.
Together: your team asks questions in plain English, and Claude answers from Reactor's versioned, lineage-tracked data products instead of guessing across disconnected source systems.
Claude guesses across raw, disconnected source tables.
- × Three teams, three definitions of “customer”
- × ROAS, CAC, LTV calculated differently every time
- × Plausible answers your team can't defend
- × No auditability for finance or ops
- × No safe path from answer to action
Claude queries governed data products with lineage and freshness baked in.
- ✓ One canonical customer, order, product, campaign
- ✓ Metrics resolve to your governed definitions
- ✓ Cited answers your CFO and ops can defend
- ✓ Freshness + source systems in every response
- ✓ A safe path from answer to action
The killer demo
“Claude, why did ROAS drop last week?”
A real business question. A grounded answer. No hallucination, no hand-waving. Every claim tied to a Reactor data product with lineage and freshness.
- 01Meta Ads spend up +42%, conversion rate down -18%. Net effect: -$54k attributed revenue.
- 02Google Ads ROAS stable at 4.2x, but share of total spend dropped from 38% to 24%.
- 03Email-attributed revenue down -11% after a Klaviyo segment definition change on Nov 14.
- →Pause the 3 lowest-performing Meta ad sets (1.1x ROAS, $18k weekly spend).
- →Roll back the Nov 14 Klaviyo segment definition and re-attribute the affected email revenue.
- →Shift 15% of Meta budget to Google Ads where ROAS is holding at 4.2x.
Without Reactor: Claude would invent a plausible answer. With Reactor: Claude returns a sourced, citable explanation your CFO would sign off on.
Connector capabilities
What Claude can actually do with Reactor.
Not raw SQL. Not unrestricted access. A curated set of high-value tools that turn Claude into a trustworthy analyst over your governed data.
Modeled business entities
Claude queries customers, orders, products, and campaigns as canonical entities, not raw tables fragmented across source systems.
Curated metrics, defined once
ROAS, CAC, LTV, churn. Every metric Claude returns ties back to your governed definitions. No inventing math.
Segment & cohort queries
Ask “show me high-LTV customers who churned last quarter” and get back a real, filterable segment with traceable composition.
Pipeline health & freshness
Every answer reports how current the underlying data is, which sources contributed, and whether any upstream sync failed.
Lineage on demand
Ask “where did this number come from?” Claude returns the source systems, the mappings, the version, and the timestamp.
Trust by design
Safe enough to ship to your team.
Conversational AI over enterprise data only works if governance is enforced at the query layer, not in the prompt. Reactor handles that.
Read-only by default
Claude can query and explain, never write or mutate.
OAuth + tenant isolation
Per-workspace auth with scoped permissions. Your data stays yours.
Lineage in every response
Claude cites source systems, mappings, and freshness with every answer.
Row caps & PII controls
Configurable limits and field-level masking, enforced at the query layer.
Full audit log
Every Claude query, tool call, and result is logged for compliance.
Semantic-only by default
Claude queries through Reactor’s metric catalog, not raw SQL. No invented definitions.
FAQ
The fine print.
Everything you need to know about the Claude connector, MCP, and how Reactor stays trustworthy under AI-agent load.
Is the Reactor MCP connector for Claude available now?
We're opening early access in waves. Reactor is the trusted data layer; the connector is the channel that gives Claude (and other MCP-compatible agents) safe, structured access to your modeled data products. Join the waitlist to be among the first teams in.
Does Claude get raw SQL access to my warehouse?
No. By default, Claude queries through Reactor's semantic layer: modeled entities, curated metrics, and lineage-aware tools. Row caps, PII controls, and audit logging are enforced at the query layer, not in the prompt.
How does this differ from connecting Claude to a database directly?
A direct database connector gives Claude a pile of raw tables to guess at. Reactor gives Claude versioned, governed data products with shared definitions, freshness metadata, and source lineage. Claude returns sourced answers instead of plausible-sounding hallucinations.
Will it work with other AI agents and LLMs, or only Claude?
We're building on the Model Context Protocol (MCP), which is open. Claude is the first integration we're launching with because of its native connector support, but any MCP-compatible client can use the same Reactor connector.
What about embeddings, vector stores, and RAG?
Reactor still orchestrates the full AI data pipeline: ingest, prep, embed, deploy to Pinecone, Chroma, Weaviate, or your warehouse. The Claude connector is a new surface on top of that foundation, not a replacement.
Ship agents your team can actually trust.
Join the waitlist for the Reactor MCP connector. Be among the first teams to give Claude a trusted data foundation.