Spaceti MCP

Connect 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

01.

Portfolio optimization

Identify persistent underutilization, compare performance across locations, and evaluate consolidation opportunities.

02.

Capacity and workforce planning

03.

Executive workplace reporting

04.

Meeting-space optimization

05.

Cost and energy efficiency

06.

Custom workplace AI assistants

See Spaceti MCP in action

Portfolio optimization. Example question: Which locations have enough unused capacity to consolidate teams or floors? Identify persistent underutilization, compare performance across locations, and evaluate consolidation opportunities.

Location utilization (%) — illustrative. Frankfurt and Warsaw have sufficient unused capacity to consolidate teams onto fewer floors.
Location	Utilization (%)
Berlin	85
Frankfurt	37
London	79
Warsaw	42
Paris	71

Capacity and workforce planning. Example question: Can our current workplace portfolio support projected headcount growth over the next two years? Based on current utilization patterns and projected 18% headcount growth, your existing portfolio has sufficient capacity through Q1 2027, assuming current hybrid work patterns continue.

Projected utilization (%) — illustrative. Based on projected 18% headcount growth, the existing portfolio has sufficient capacity through Q1 2027.
Quarter	Projected utilization (%)
Q1 '26	57
Q2 '26	61
Q3 '26	63
Q4 '26	67
Q1 '27	72

Executive workplace reporting. Example question: What are the most important workplace risks and opportunities this quarter? Generate leadership-ready summaries of workplace performance, emerging risks, opportunities, and areas requiring action.

Monthly portfolio utilization (%) — illustrative, against a 45% target. Key findings: Frankfurt utilization critically low at 37%, Amsterdam approaching capacity at 91%, and meeting-room no-show rates up 12% across the portfolio.
Month	Portfolio utilization (%)
Jan	67
Feb	56
Mar	78
Apr	66
May	76

Meeting-space optimization. Example question: Which meeting rooms are frequently booked but consistently underoccupied? Analyze booking demand, actual occupancy, room capacity, and underutilization patterns across your portfolio.

Actual occupancy by room size (%) — illustrative, against a 50% target. The 8-person boardrooms are booked during 87% of peak hours but average only 3.2 attendees per meeting, indicating oversized rooms used for small meetings.
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

Cost and energy efficiency. Example question: Which locations use the most energy outside occupied hours, and where could operating schedules be optimized? Align building operations with occupancy and environmental data to reduce energy use and costs without compromising comfort.

Energy used outside occupied hours (%) — illustrative. Frankfurt uses 28% of its energy outside occupied hours; aligning HVAC and lighting schedules with actual occupancy could reduce energy use and costs.
Location	Energy outside occupied hours (%)
Frankfurt	28
Amsterdam	21
London	18
Paris	15
Berlin	13
Madrid	11
Stockholm	9
Warsaw	8

Custom workplace AI assistants. Example question: Compare workplace demand with projected headcount every month and flag locations at risk of overcapacity or underutilization. Connect custom AI assistants and agents to workplace data for portfolio planning, workplace operations, facilities management, and reporting.

Monthly portfolio utilization (%) — illustrative. Monthly summary: portfolio-wide utilization averaged 68.4%, up 3.1pp from last month. Amsterdam near capacity, Frankfurt underperforming, 1,247 bookings processed.
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.

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.