Live data connectors
Connect databases, REST APIs, and SaaS systems while keeping the underlying data in its existing location. The platform describes real-time schema and query introspection without migration or duplication.
Monospace
Monospace is a governed API layer that connects databases, REST APIs, and SaaS systems to applications, internal tools, business users, and AI agents. It provides live read-write access through interfaces such as REST API, typed SDK, and MCP, with centralized permissions and audit controls.
Governed access to live data
Monospace is a governed API layer for connecting live data sources to applications, internal tools, business users, and AI agents. It connects databases, REST APIs, and SaaS systems and provides read-write access under a shared permissions model, while the underlying data remains in its original systems.
The platform is positioned for organizations that want to build on existing data without a migration or duplication project. Monospace describes real-time schema and query introspection, centralized access controls, project isolation through workspaces, and interfaces such as REST API, typed SDK, and MCP. Its governance model can enforce access down to rows and fields and record activity in an audit log.
Platform features
Unified API layer
Expose connected systems through a common interface for applications and teams, including a REST API and typed SDK. The pricing page also lists Data Studio and a Federation Engine.
Agent access through MCP
Provide AI agents with governed access through MCP, with the site describing a single MCP server across connected systems and skills that help agents understand data and follow practices.
Granular permissions
Apply access controls inside queries down to rows and fields, with plan-dependent options including custom roles and policies, row- and column-level security, and item validation rules.
Identity and auditability
Register and identify applications, tools, and agents individually, then record activity in a shared audit log. The site shows examples of actions such as logins, token refreshes, role creation, and data access.
Workspace and governance controls
Support project isolation through workspaces and offer plan-dependent controls such as SSO using OAuth 2.0, service accounts, offline mode, and custom connectors.
Use cases
Building apps without a data migration
Build applications or internal tools on top of existing databases, APIs, and SaaS systems while leaving source data in place. The shared API layer can provide a consistent access point across those systems.
Governed agent workflows
Give AI agents controlled read-write access to live enterprise data through MCP. Dedicated agent identities, permissions, limits, and audit records help organizations monitor agent activity.
Business data access
Let business users query and build on live data using natural language, while keeping access within the organization’s central permissions model.
Multi-project platform governance
Separate projects and control access for multiple applications, tools, or teams through workspaces, roles, and policies. The pricing page indicates that workspace and governance capacity varies by plan.
Modernizing legacy systems
Modernize legacy data systems by generating application-facing interfaces from existing schemas rather than beginning with a rewrite or cutover project.
Pros and Cons
Pros
- Works with live systems without requiring data migration or duplication, according to the product site.
- Provides multiple access interfaces, including REST API, typed SDK, and MCP, for different application and agent workflows.
- Centralizes identity, permissions, and audit visibility across applications, users, tools, and agents.
- Offers granular row- and field-level access controls on plans that include those capabilities.
Cons
- Connector availability varies by source: the site lists some connectors as available, others as beta, alpha, coming soon, or under consideration.
- Detailed setup behavior and supported workflows are not specified on the public pages provided; prospective users are directed to contact the team for help getting started.
- Several governance and support capabilities are plan-dependent rather than included across all tiers.
FAQ
What does Monospace do?
Monospace connects databases, REST APIs, and SaaS systems into a unified governed API layer. The source site says it reads and writes to live systems without requiring migration or data duplication.
How is Monospace set up?
The site describes a workflow in which Monospace introspects a connected source's schema and queries in real time, then provides interfaces including a REST API, typed SDK, and MCP. The get-started page directs prospective users to contact the team with their intended project.
Who is Monospace for?
Monospace is designed for applications, internal tools, business users, and AI agents that need access to live enterprise data. The platform applies one permissions model across those callers.
What pricing plans are available?
The pricing page lists Starter, Business, and Enterprise plans. Starter is free and includes one workspace and three users; Business and Enterprise use a contact-sales flow, with additional workspace, connector, security, support, and governance options listed by plan.
Quick Facts
- Category
- Developer tool / data access platform
- Primary users
- Application builders, internal-tool teams, business users, and AI-agent developers
- Data model
- Live read-write access to connected systems
- Interfaces
- REST API, typed SDK, MCP, and Data Studio
- Available plans
- Starter, Business, and Enterprise
- Source domain
- monospace.io
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