Trulyp AI
From questions to answers. From answers to action.
Explore trusted data, get help, and manage your workspace through conversation. Chat in Trulyp or use ChatGPT and Claude to access 300 tools through MCP. Connect other MCP servers to bring more context and capabilities into Trulyp.
Conversational analytics
Ask naturally. Get precise answers.
Explore trusted data in plain language. Trulyp turns your questions into deterministic queries, so answers come from calculated results you can rely on.
Connected through MCP
Trulyp, in your AI assistant.
Chat with your data, navigate your workspace, and administer Trulyp from ChatGPT or Claude. With 300 tools available through MCP, your AI assistant can turn a conversation into action.
Help when you need it
Less searching. More doing.
Ask how something works and get practical guidance grounded in Trulyp’s documentation. From your first connection to advanced workflows, find the next step without leaving your work.
AI Trace
Ask. Then see how it got there.
Vizzy answers with queries on your semantic models, not with guesses. AI Trace records every run step by step, from your question to the exact tool call and query behind the answer.
Pick a question for Vizzy. Click any node in the network to inspect it.
AI agents
Why build your own agents.
Vizzy answers questions as they come. An agent does one job you define, the same way every time, wherever you need it.
Automate the work you repeat
Turn a question or task you handle again and again into a flow that runs the same way every time. Trulyp ships with agents for KPI summaries, cockpit analysis and filling in missing values.
Put AI where the work happens
Call an agent from another AI feature, from a workflow or from your own application, and get a structured answer back.
Stay in control
You choose the model, the tools it may use and the knowledge it can read. Draft, Active and Paused decide when it is available.
- 1
Create
Give the agent a name, a slug and a description. It starts as a Draft, so nobody can use it yet.
- 2
Build the flow
Drag blocks onto the Visual builder: an Input payload, AI actions with their prompt and MCP tools, conditions or an intent router, knowledge, data, workflows and a structure for the output.
- 3
Test
Use Quick test to try a single prompt, or Flow run to run the complete flow and see every step it took.
- 4
Activate and use
Set the agent to Active and call it from Trulyp, from a workflow or through the API with its slug.
AI you stay in control of
Powerful, and governed by design.
Choose your own model, decide who can use it, and keep every action visible.
Bring your own model
Connect OpenAI, Anthropic, Azure OpenAI or any OpenAI-compatible endpoint, and give each configuration to specific teams.
Confirm before it changes anything
Actions that create, update or delete stop at a Confirm step, so nothing changes without your approval.
Tools follow your permissions
Vizzy only sees the tools, data and rows your role allows, in Trulyp and in ChatGPT or Claude.
Insights with evidence
The insight engine ranks findings, flags anomalies and checks them statistically before Vizzy answers.
MCP in both directions
Use Trulyp from ChatGPT, Claude or Mistral, and connect other MCP servers so Vizzy can use their tools too.
Usage you can see
Track AI token usage per configuration, per user and over time, so costs never come as a surprise.