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Feed Live Company Data to AI Agents with Total Governance

AI agents need access to the data your business actually runs on. Monospace gives them governed access with granular permissions, tool controls and audit logging.

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Agents consume the same governed API as your applications.

Rather than giving AI systems raw database access, Monospace governs which records agents can read, create, update, and delete through the same granular role-based access control used for human users.

Tool scoping

You choose which operations an agent can take. Read only, mutate schema, or full write access. You are in control.

Per-agent identity

Agents get their own identity, not a borrowed user account. Scope and revoke each one independently.

AI access as an entitlement

You govern who can use AI, and expose or switch off MCP for a workspace.

One audit trail

Every agent operation lands in the same audit log as everything else, giving full traceability of actions.

How It Works

Connect the systems the agent needs.

Data sources are queried live. Nothing is copied for the agent to use.

Define what it can reach.

Granular role and policy based access controls applied to agents.

Access & Permissions

The agent connects over MCP.

Every workspace has its own MCP endpoint so AI agents can read and write your data through the same governed API.

MCP Guide

Every tool call is checked.

Every tool call runs under the permissions of the API key you connect the agent with.

Govern access & activity.

Agent activity lands in the audit log. Access changes are managed in one place, applied immediately.

Audit Logs

What an agent can do

The MCP server exposes seven tools. Each tool call is checked against the connecting key's permissions.

Learn More

Tool

Description

list_items

Query items in a collection (filter, sort, paginate)

Create_Items

Create one or more items

Update_Item

Update an item

delete_item

Delete an item

read_schema

Inspect collections, fields, and relations

read_data_sources

List configured data sources

Mutate_schema

Create or alter schema

Common Scenarios

Scenario

LLM-powered applications that need governed data access.

Scenario

Automated workflows that read and update records based on business rules.

Scenario

AI agents that query operational data to answer questions.

Make your live data agent ready. Grant AI agents access to your data without compromising control or governance.

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