Connect Claude or ChatGPT to your real business data
OnFlow runs a native MCP server — an open standard for connecting AI tools to data. Point any MCP client at your OnFlow workspace and it can query, reason about and write back to your records, scoped by permissions and fully audited.
The gap
Your AI can write a great email. It can't see your operational reality.
Claude and ChatGPT are excellent reasoners with no access to the thing that matters most: your actual business data. Copy-pasting context into a chat doesn't scale, and it isn't safe. MCP fixes that — and OnFlow is the data layer behind it.
How it works
From endpoint to working agent in minutes.
Connect MCP
Add OnFlow's MCP endpoint to Claude, ChatGPT or your own agent runtime. Authenticate with OAuth (no key needed) or a workspace API key.
Query records in natural language
Ask questions about your real data — accounts, projects, contracts — and get answers grounded in records, not guesses.
Build an agent
Give an agent a job and the scopes it needs. It can read, traverse relationships, and write back — every action logged.
// claude_desktop_config.json
// OAuth — opens a browser login, no key needed.
{
"mcpServers": {
"onflow": {
"url": "https://app.on-flow.co.uk/api/mcp"
}
}
}
> Which renewals are due in the next 30 days?
> Draft a follow-up for the top 3 at-risk accounts.Supported clients
Works with the AI tools you already use.
Claude
ChatGPT
Cursor
Custom agents (any MCP client)
Security & permissions
AI access, scoped like any other integration.
Scoped permissions
Every MCP connection is scoped to specific record types and actions — query, traverse, write — not blanket access to your workspace.
Caller-inherited RBAC
AI agents inherit the permissions of the user or API key that connected them. They can never see more than that person could.
Full audit trail
Every AI read, write and tool call is logged with actor, scope, prompt and diff — exportable for review at any time.
MCP FAQ
Questions about MCP & AI access.
Give your AI a real MCP endpoint.
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