Agents & MCP

In this section

• Agents OverviewAn agent is a configured AI worker inside your workspace. It has instructions, a model, and a list of tools it is allowed to call — and that last one is the only thing…
• Agent Access and ToolsEverything an agent is allowed to do is a list you control. This page is about that list, and about the two independent limits that sit on top of it.
• Agent Models and ProvidersYou can run agents on Praxsuite's own models and pay in credits, or connect a provider account of your own and be billed by them directly. Both work, and the choice is…
• Agent Runs and UsageEvery time an agent does anything, it produces a run. A run is the record you read when you want to know what happened and what it cost.
• Agent Knowledge and MemoryAn agent has three ways of knowing something, and they are easy to confuse. Getting them right is the difference between an agent that answers from your material and one…
• Agent Tasks and TeamsTwo features turn individual agents into an organisation: task structures, which let agents work a queue, and teams, which say who reports to whom.
• The Org ChartWorkforce → Org chart draws your workspace's people and agents as one picture: who belongs to which team, which teams sit inside which, and who leads them.
• MCP — Connect any AI client to your workspaceThe Praxsuite MCP server lets an AI assistant that speaks the Model Context Protocol read and write your workspace data directly — no custom API code, no endpoint…