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
Upwork
19 tools · footprint 41
1 critical 5 high 9 med 4 low COSOSOX
Vercel
20 tools · footprint 41
2 critical 3 high 2 med 13 low COSOSOX
Cloudinary
23 tools · footprint 40
1 critical 4 high 15 med 3 low
Freshdesk
24 tools · footprint 40
6 high 14 med 4 low
Netlify
23 tools · footprint 40
2 critical 4 high 4 med 13 low
Zapier
14 tools · footprint 39
1 critical 3 high 3 med 7 low COSOPCI+1 more
Freshservice
23 tools · footprint 38
6 high 15 med 2 low
GitHub
83 tools · footprint 38
1 high 20 med 62 low COSOSOX
Bright Data
25 tools · footprint 37
5 high 17 med 3 low
Snowflake
6 tools · footprint 37
2 critical 3 high 1 med COSOSOX
Brex
25 tools · footprint 36
3 high 17 med 5 low COSOGLBA+2 more
Microsoft Dataverse
15 tools · footprint 35
1 critical 3 high 8 med 3 low
Calendly
35 tools · footprint 34
2 high 13 med 20 low
Lovable
25 tools · footprint 34
1 critical 2 high 9 med 13 low
Smartsheet
42 tools · footprint 34
2 high 9 med 31 low COSOSOX
Freshservice
23 tools · footprint 33
5 high 12 med 6 low
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StravaDocs ↗
5 med 3 low · 8 tools · 0 SoD-flagged
regimes APPICCPAGDPRISO_27001LGPDPIPEDAPIPLPOPIASOC2UK_GDPR

Tools needing tighter control (2 of 8)

strava.get_activity_performance medium conf lowaudit
Surfaces derived training and effort metrics for a single activity; the connector docs do not specify whether raw location or biometric fields ride along with the summary.
strava.get_club_info low conf lowallow
Reads club metadata the athlete already has access to; scope is a group profile rather than an individual's training record.
All other tools (6)
strava.get_activity_streams medium conf mediumaudit
Exposes raw per-second GPS coordinates and sensor traces for an activity, the most granular location and physiological data Strava holds on an individual.
strava.get_athlete_profile medium conf mediumaudit
Pulls the athlete's identity profile — name, location, and account details — into the agent context, exposing directly identifying personal data to whatever downstream model or log handles the response.
strava.get_athlete_zones medium conf mediumaudit
Reads heart-rate and power thresholds tied to a named athlete — physiological measurements that qualify as sensitive personal data in most privacy regimes.
strava.get_gear low conf mediumallow
Reads registered equipment and its accumulated mileage; low-sensitivity inventory data with no write path back to the account.
strava.health low conf mediumallow
Confirms the connector is reachable; returns no athlete data and changes no state.
strava.list_activities medium conf mediumaudit
Retrieves the athlete's activity history, a timestamped record of where they were and when — reconstructing home, workplace, and routine movement patterns from a single call.