MCP compliance catalog

Every MCP tool in the SCOPE compliance index, grouped by server — risk posture, regulatory exposure, and the tools that warrant tighter governance.
387MCP servers
5470tools
Reset 387 of 387 servers
Microsoft Teams
25 tools · footprint 33
4 high 11 med 10 low
Privacy.com
10 tools · footprint 33
1 critical 4 high 4 med 1 low COSOGLBA+2 more
Ramp
17 tools · footprint 33
5 high 5 med 7 low COSOGLBA+2 more
Attio
37 tools · footprint 32
4 high 14 med 19 low
Euler
25 tools · footprint 32
1 high 13 med 11 low
Xero
19 tools · footprint 32
2 high 9 med 8 low COSOGLBA+1 more
Box
25 tools · footprint 31
4 high 13 med 8 low
Egnyte
21 tools · footprint 31
3 high 9 med 9 low
Stytch
7 tools · footprint 31
1 critical 2 high 2 med 2 low
Affinity
25 tools · footprint 30
20 med 5 low
BlackRock Advisor Center
25 tools · footprint 30
1 critical 3 high 8 med 13 low COSOGLBA+1 more
Peec AI
25 tools · footprint 30
3 high 14 med 8 low
Superhuman Mail
10 tools · footprint 30
4 high 3 med 3 low
Windsor.ai
18 tools · footprint 30
2 critical 1 high 2 med 13 low COSOSOX
dbt
22 tools · footprint 29
3 high 7 med 12 low COSOSOX
Microsoft Outlook
21 tools · footprint 29
5 high 9 med 7 low
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TrivagoDocs ↗
3 low · 3 tools · 0 SoD-flagged
regimes none

Tools needing tighter control (0 of 3)

None — every tool is low-risk, high-confidence, and outside PCI/HIPAA payload scope.
All other tools (3)
trivago.trivago-accommodation-radius-search low conf highallow
Returns lodging results anchored to specific coordinates, sending a precise location of interest along with stay dates and guest configuration to an external metasearch service.
trivago.trivago-accommodation-search low conf highallow
Returns hotel availability, nightly pricing, ratings, and booking links for a destination, exposing travel intent such as dates, party size, and locations to an external metasearch service.
trivago.trivago-destination-price-trends low conf highallow
Produces forecast nightly-rate ranges by star rating for a destination, which can drive travel budget and booking-timing decisions on modelled rather than live availability data.