FlowG MCP · Available now
Ask your AI about your logs.
It reads FlowG for you.
FlowG MCP lets your AI assistant search your log streams, so your team asks questions instead of copying log snippets around.
Tell us which AI clients and models you use.
What changes
Before and after FlowG MCP
Today
- Log snippets pasted into chats
- Answers based on whatever got pasted
- An integration nobody has time for
With FlowG MCP
- Your assistant searches your streams itself
- Answers grounded in your actual logs
- Set up by the team that built it
What you get
An MCP server, and the team to set it up.
Your AI, plugged into FlowG
Your assistant queries your log streams on its own, through the Model Context Protocol.
Read-only by design
It can search your streams. It can’t change anything.
LLM integration
Wired to your AI client, your model, and your network rules.
Support & maintenance
One team for FlowG and FlowG MCP, from upgrades to answers.
Start here
Start with one investigation workflow.
We connect your AI to FlowG for a real use case, validate it with you, then expand.
Discuss MCP licensing- 1
Define the use case
Which AI, and which questions it should answer.
- 2
Agree on the scope
License, deployment, and the services you need.
- 3
Deploy and validate
We set it up and test the workflow with your team.
Is FlowG MCP open source?
No. It’s sold under a commercial license. FlowG itself stays free and MIT licensed, and you don’t need MCP to use it.
Does our data stay in our environment?
The MCP server runs in your environment. Where the model runs depends on the AI provider you pick, and we review that data path with you.
Is the LLM included?
No. You bring the AI client and model, and their usage costs stay separate.
FlowG MCP
Let your AI read the logs for you.
Tell us about your FlowG setup and the AI tools you use.