Multi-agent workflows and MCP
Specialist agents share the work, with tools exposed safely through MCP.
How it works · Multi-agent workflows and MCP
STEP BY STEP
In
- Email request
- Documents
- System access
- 1
Plan01
Coordinator splits the job
3 agents
- 2
Research02
Research agent gathers facts
Sources
- 3
Draft03
Writer agent produces output
Draft
- 4
Check04
Reviewer agent and a person check
Approved
Human checkpoint
Out
- Documents
- Audit trail
- Status update
How it works
01
The problem
Complex jobs need research, writing, and checking that one prompt cannot do well.
Step by step
- 01Plan. Coordinator splits the job.
- 02Research. Research agent gathers facts.
- 03Draft. Writer agent produces output.
- 04Check. Reviewer agent and a person check.Human checkpoint
Tools and control
02
Connects
n8n
Anthropic Claude
OpenAI
PostgreSQL
Built on n8n. Equivalent tools can be swapped in.
Human control
A person stays in control at the "Check" step. Everything else runs on rules you agree, with every run logged.
More in AI agents
03
AI agents
RAG knowledge assistant
Staff ask in plain language and get answers with the source attached.
See the workflowAI agents
Tool-using operations agent
An agent completes routine multi-step tasks, pausing for approval where it matters.
See the workflowAI agents
Document AI extraction
Structured data extracted from documents, validated, and filed.
See the workflow
Next step
What would you like to improve?
Tell us what is taking too much time, what is difficult to manage, or what you would like your systems to do differently. You do not need a technical specification to start.