Run integrations directly from AI chat
Expose Flowgear workflows as safe, governed tools inside leading AI assistants.
Ask once, approve, done.
What is Flowgear MCP?
MCP (Model Context Protocol) makes your Flowgear integrations discoverable as “tools” AI apps can call.
Users request an outcome in chat; Flowgear executes.
What this means for users:
- One chat interface across your tech stack
- Faster execution
- Lower barrier to entry for new users
- Built-in audit logs and access control
MCP rides on Flowgear’s existing platform, so you don’t need to rewrite your integrations.
To see it in action, watch the MCP Server launch livestream.
For end users
Work in chat. Ship real work.
- Trigger workflows in plain English.
- Stay in one window; results, files, links return to chat.
- Reuse team prompts for consistent, repeatable outcomes
For Admins & Ops
Governed from day one.
- Publish only the tools you want exposed.
- Enforce roles, scopes, and rate limits.
- Monitor runs, inspect payloads, keep a full audit trail.
Works with cloud + on‑prem, including legacy systems behind the firewall.
For Developers
Your workflows, wrapped for chat.
- Wrap existing Flowgear workflows as MCP tools with clear input and
output schemas - Keep business logic in Flowgear while AI provides the conversational
front end - Add new connectors with the Flowgear SDK when needed
Prefer custom UIs? That’s fine.
MCP simply adds a conversational front door, not a replacement.
How it works
1. Connect
Link SaaS or on-prem systems using Flowgear’s prebuilt or custom
connectors.
2. Publish
Choose which workflows, actions, and resources to expose as MCP tools.
Add names, description,s and clean input schemas.
3. Approve
In chat, the assistant proposes a plan. Users approve the first time with
scopes and limits you control.
4. Run & return
Flowgear executes the workflow, streams logs, and returns results in chat
as tables, files or links. Everything is recorded for audit.
FAQ
Which assistants work with this?
Any client that supports the Model Context Protocol can connect to your MCP server. We test with the latest compatible clients and add presets as support grows.
Do we need to rebuild our integrations?
No. You can publish existing workflows as MCP tools, then add more over time.
Can we limit who runs what?
Yes. Publish tools to specific groups, enforce scopes, and set per-tool rate limits.
What about on-prem systems?
Flowgear supports hybrid and on-prem integration. MCP simply exposes the right actions to chat users.
How do we monitor what the assistant did?
Every run is logged in Flowgear with inputs, outputs and status. You can click through from the chat to view full details.
How long to first value?
Most teams ship a first useful tool in hours. Start with a read action or a summarise-and-post workflow, then grow from there.
Bring your integrations to AI chat
Activate your trial and see why MCP is becoming the backbone of modern automation.
Flowgear excels against Magic Quadrant leaders
The iPaaS market is growing exponentially as businesses seek ways to connect disparate systems and optimize workflows. Flowgear iPaaS enables businesses of all sizes to shed the workload & complexity of Data and App-to-App integration, quickly & affordably.
Flowgear was recently featured as a key player in the iPaaS industry in an insightful article by Fortune Business Insights.
iPaaS market valued at USD 10.70 billion in 2023. Projected to grow from USD 12.87 billion in 2024 to USD 78.28 billion by 2032, exhibiting a CAGR of 25.3%
“The Flowgear platform is easy to understand and easy to learn. It is very use full to build IPAAS integrations.”