01
Capture agents
Watch inbox, portals and uploads. Turn documents, emails and forms into structured records with nothing dropped.
Built for you and your agents
Carraggon Agents — and an open door for yours.
Carraggon Agents run the work end to end inside your operation. Everything they capture, structure and govern is then available to Claude, ChatGPT or any other agent through the Carraggon MCP Server.
Carraggon Agents
Agents for every step of the work, not just the demo.
02
Screening agents
Score every inbound item against your criteria and surface only what deserves a human's attention.
03
Execution agents
Run your SOPs step by step — draft, route, follow up, chase signatures and close the loop.
04
Analysis agents
Pull comps, benchmarks and history into a model or memo and pressure-test assumptions before you commit.
05
Relationship agents
Log every call, email and meeting so relationship history stays with your firm, not in a departing analyst's inbox.
06
Oversight agents
Track deadlines, exceptions and stalled work, and escalate with full context when something needs a person.
Carraggon MCP Server
AI agents can do more with Carraggon.
The data captured, structured and governed in Carraggon is available to Claude, ChatGPT or any other agent through the Carraggon MCP Server.
- Connect any assistant. An open standard, no lock-in. Point Claude, ChatGPT, Cursor or your own agents at the Carraggon MCP server.
- Put them to work. Draft a summary, refresh a report, pull records into a model, find where work stalls — all in plain language.
- Governed by default. Agents inherit each user's permissions, every call is audit-logged, and your data is never used to train a model.
Claude
ChatGPT
Any MCP client
Your own agents
Carraggon MCP Server
Everything in Carraggon
Captured
Structured
Governed
Governance
Open to every agent, closed to everything else.
Permission inheritance
An agent can only reach what the signed-in user can reach. No shadow service accounts, no blanket access.
Full audit trail
Every tool call, argument and result is logged and attributable to a user, a client and a moment in time.
No training on your data
Your records, prompts and outputs stay yours. They are never used to train or fine-tune any model.