B
Evidence Grade B
Graded
under review
Safe to Cite
Current
78%
78% -- enterprise ai teams mcp adoption for enterprise AI teams (2026)
Attribution:
View source
Lighthouse Research Team
Last verified:
·
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Source verified
Evidence graded
Value
78%
Unit
Percentage
Data Vintage
2026
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
95
Source Trust
50
Citation Chain
90
Independence
30
Methodology
45
Freshness
83
Source
AIMultiple
Primary
Tier A
https://aimultiple.com/design-to-code ↗
Source Article
Best Design to Code Tools Compared: Detailed Analysis
Design-to-code tools have changed more in the past 18 months than in the decade before that. The category used to mean “export some CSS from Figma.” Now it spans full-stack app builders, bidirectional MCP integrations that write back to the canvas, and agentic platforms shipping production branches …
Original Research
AIMultiple
· Original study ↗
Methodology
Survey of enterprise AI teams
Methodology documented
Segmentation
Channelcommon_crawl
Cite this stat
Plain Text
enterprise AI teams: 78% enterprise ai teams mcp adoption. Source: AIMultiple (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/enterprise_ai_teams_mcp_adoption
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<blockquote cite="https://lighthousedata.io/data/enterprise_ai_teams_mcp_adoption" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>78%</strong> -- enterprise ai teams mcp adoption for enterprise AI teams<br><small>Source: AIMultiple (2026) · <a href="https://lighthousedata.io/data/enterprise_ai_teams_mcp_adoption" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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