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Give approved agents controlled access to TrialStack

Catalyst connects compatible AI clients through a capability-scoped MCP interface. Teams review and apply model output inside Studio before it becomes part of the trial record.

Governed AI generation workflowGoverned AI generation workflow

USE AI WITH CONTROL

Give approved agents controlled access to TrialStack

Catalyst exposes capability-scoped context to compatible AI clients through MCP. Teams review and apply model output inside Studio.

Connect compatible AI clients

Expose approved TrialStack capabilities through a Streamable HTTP MCP endpoint.

Keep oversight explicit

Make human review visible before generated work becomes part of the trial record.

Work inside Studio

Request, review, and apply model output where clinical teams already manage decisions, evidence, and documents.

Standardize agent access

Give teams repeatable access policies instead of isolated prompt experiments.

FAQ

How TrialStack puts digital protocol standards to work

Digital Data Flow replaces repeated document interpretation and manual re-entry with a machine-readable trial definition. TrialStack uses that definition to keep protocol review, document authoring and data acquisition configuration aligned.

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Give your next clinical trial a governed foundation

Keep protocol decisions, document authoring and data acquisition aligned around one trial definition. Try TrialStack Studio free for 3 days.