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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.

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

Tool scoping

Choose what an agent can do. Read only, mutate schema, or full write access.

Per-agent identity

Agents get their own identity. 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.

How it works

1

Connect the systems the agent needs.

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

2

Define what it can reach.

Granular role and policy based access controls applied to agents.

3

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.

4

Every tool call is checked.

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

5

Govern access & activity.

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

What an agent can do

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

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  • 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

  • Update_Item

    Update an item

  • Create_Items

    Create one or more items

  • list_items

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

  • Mutate_Schema

    Create or alter schema

  • Read_Data_Sources

    List configured data sources

  • Read_Schema

    Inspect collections, fields, and relations

  • Delete_Item

    Delete an item

Common scenarios

01

LLM-powered applications that need governed data access.

02

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

03

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

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

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

Get Started

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The governed API layer for every app, person, and agent

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