Algenta MCP server

Algenta is a decision engine: a system that helps you ask questions about your own data and get careful, governed answers. This is the official MCP server that connects your AI assistant to it. It is handy if your team keeps its data in Algenta and you want to ask about it in plain chat instead of opening another tool.

What this MCP server does

You ask your AI a question in normal words, like which datasets you have or what your revenue was last month. The AI passes that request to this helper, which talks to your Algenta engine. Algenta finds the right dataset, runs the query or simulation, and sends the result back. Your AI then explains the answer to you in the chat. Some actions, like agent runs, can be set up to wait for your approval before they go ahead.

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What you can do with it

• Find datasets in your Algenta workspace by searching for a word like orders
• Get a summary of a dataset before you query it
• Run an exact query for a metric such as gross revenue
• Run simulations and get recommendations
• Look up past decisions and their execution receipts
• Start an agent run that waits for your approval
• Check the audit trail of what was run and under which policy

Try asking your AI

• “Which datasets do I have that mention orders?”
• “Give me a summary of my orders dataset.”
• “What was our total gross revenue last quarter?”
• “Start an agent run to review last month's numbers and ask me before it does anything.”

What it gives back to you

You get answers in the chat: lists of datasets, short summaries, numbers from queries, and recommendations from simulations. When you start an agent run, you get a record of what it did, including an execution receipt that pins the policy and schema it ran under. If something needs your approval, the AI tells you and waits.

Before you start

Who it's for

Analysts, operations leads, and data teams who already use Algenta and want to ask questions about their data from inside their AI assistant.