Spaceti MCPConnect workplace data to enterprise AI
Spaceti MCP connects workplace and building data from the Spaceti platform to compatible enterprise AI assistants and agents.
Trusted by blue-chip companies worldwide
What is Spaceti MCP
Spaceti MCP is a Model Context Protocol server that allows compatible AI assistants and agents to securely retrieve and analyze workplace and building data from the Spaceti platform, including occupancy, space utilization, desk and room bookings, environmental sensor data, and workplace analytics.
Natural language access to live workplace data- Controlled, authorized data retrieval
- Compatible with enterprise AI environments
- No manual report assembly required
How Spaceti MCP works
Connect
Connect Spaceti to an MCP-compatible enterprise AI agent, custom agent, or development environment.
Combine
Combine workplace data with HR, finance, and real estate information to improve space planning, capacity decisions, and portfolio performance.
Generate insights
Create reports, compare locations, identify trends, and support workplace and portfolio decisions.
From workplace questions to business decisions
Portfolio optimization
Identify persistent underutilization, compare performance across locations, and evaluate consolidation opportunities.
Capacity and workforce planning
Executive workplace reporting
Meeting-space optimization
Cost and energy efficiency
Custom workplace AI assistants
| Location | Utilization (%) |
|---|---|
| Berlin | 85 |
| Frankfurt | 37 |
| London | 79 |
| Warsaw | 42 |
| Paris | 71 |
| Quarter | Projected utilization (%) |
|---|---|
| Q1 '26 | 57 |
| Q2 '26 | 61 |
| Q3 '26 | 63 |
| Q4 '26 | 67 |
| Q1 '27 | 72 |
| Month | Portfolio utilization (%) |
|---|---|
| Jan | 67 |
| Feb | 56 |
| Mar | 78 |
| Apr | 66 |
| May | 76 |
| Room size | Booked (%) | Actual (%) |
|---|---|---|
| 2-person | 45 | 78 |
| 4-person | 62 | 65 |
| 6-person | 71 | 58 |
| 8-person | 87 | 40 |
| 10-person | 55 | 48 |
| 12-person | 38 | 32 |
| Location | Energy outside occupied hours (%) |
|---|---|
| Frankfurt | 28 |
| Amsterdam | 21 |
| London | 18 |
| Paris | 15 |
| Berlin | 13 |
| Madrid | 11 |
| Stockholm | 9 |
| Warsaw | 8 |
| Month | Portfolio utilization (%) |
|---|---|
| Jan | 60 |
| Feb | 68 |
| Mar | 78 |
| Apr | 67 |
| May | 71 |
Workplace data available through Spaceti MCP
Workplace data from Spaceti
Real-time and historical occupancy
Space utilization
Desk and meeting-room bookings
Buildings, floors, zones, rooms, desks
Space capacity and availability
Workplace performance trends
Analytics and insights
Environmental and sensor data
Available across your AI environment
- Enterprise AI AssistantsCopilot, Claude, ChatGPT, and other MCP-compatible platforms
- Custom AI AgentsPortfolio, operations, facilities management
- Automated ReportsLeadership-ready workspace summaries
- Business WorkflowsAI-powered enterprise workflows
This workplace intelligence can be used across compatible enterprise AI assistants, custom agents, reports, and business workflows.
Your data stays secure
Spaceti MCP provides controlled access to authorized workplace data within your enterprise AI environment. Authentication, permissions, hosting, logging, and data-provisioning requirements are reviewed as part of implementation.
Spaceti Trust Report Page
FAQ
Spaceti MCP is a Model Context Protocol server that makes workplace and building data from Spaceti available to compatible enterprise AI assistants and agents. It analyzes occupancy, space utilization, bookings, capacity, and environmental data, and lets AI applications retrieve and reason over this information for natural-language questions, analysis, reporting, and workflows.
Instead of exporting spreadsheets or building custom integrations, teams can ask their existing AI assistant a question and get an answer grounded in live Spaceti data.
Spaceti MCP exposes the same workplace intelligence available in the Spaceti platform, structured for AI consumption:
- Occupancy: real-time and historical occupancy across buildings, floors, and zones.
- Space utilization: how desks, rooms, and other spaces are actually being used over time.
- Bookings: desk and meeting-room reservations, availability, and booking patterns.
- Portfolio structure: buildings, floors, zones, rooms, and desks, with capacity and availability.
- Analytics and trends: workplace performance trends and analytics generated by Spaceti.
- Environmental data: sensor and environmental readings tied to specific spaces.
Data access can be scoped by building, portfolio, or role, so an AI assistant only surfaces the data a given user is authorized to see.
Any enterprise AI assistant or agent that supports the Model Context Protocol can connect to Spaceti MCP, including:
- Enterprise AI assistants: Microsoft Copilot, Claude, ChatGPT, and other MCP-compatible platforms.
- Custom AI agents: purpose-built agents for portfolio management, operations, or facilities management.
- Automated reporting tools: systems that generate leadership-ready workspace summaries on a schedule.
- Internal business workflows: AI-powered workflows built on top of your existing enterprise AI stack.
Yes. Workplace data from Spaceti can be combined inside your AI environment with information from other business systems, such as:
- HR systems, for headcount and organizational context.
- Finance systems, for cost and budget context.
- Real estate and lease management systems, for portfolio context.
Because Spaceti MCP exposes data through an open, standard protocol, agents can reason across systems rather than treating Spaceti as an isolated data source.
Spaceti MCP follows the same authentication and authorization model as the rest of the Spaceti platform:
- Every request is authenticated per organization and per user.
- Existing roles and permissions are respected, so an assistant only retrieves data a given user or agent is allowed to see.
- Access can be scoped by building, portfolio, or team.
- All data retrieval is logged for auditability.
No workplace data is exposed to an AI assistant that isn't already authorized to access it inside Spaceti.
Implementation is reviewed together with your IT and security team and typically covers:
- Authentication and permissions: mapping existing Spaceti roles and access rules to the AI environment.
- Hosting: confirming where the MCP server runs relative to your existing Spaceti deployment.
- Logging: enabling audit logs for AI-initiated data requests.
- Privacy review: confirming data handling meets your organization's privacy requirements.
- Data provisioning: selecting which buildings, portfolios, or data types are exposed to the AI environment.
Spaceti MCP is available to Spaceti customers as part of onboarding it into your enterprise AI environment.
For workplace and portfolio teams:
- Faster, self-serve answers to occupancy and utilization questions.
- Less time spent assembling reports manually.
- Consistent, up-to-date answers grounded in real data.
For IT and AI teams:
- An open, standard protocol instead of a custom integration.
- Access controls that follow your existing permission model.
- Compatibility with the enterprise AI tools you already use.
Get in touch with our team for a free demo to see how it can connect your workplace data to enterprise AI.
Give Your AI Workplace Context
Bring trusted workplace intelligence into your enterprise AI environment. Use occupancy, utilization, bookings, capacity, and analytics data to accelerate reporting, investigate portfolio opportunities, and support better business decisions.