Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/csoai-org/agent-data-residency-mcp/cursorrulesgit clone --depth 1 https://github.com/CSOAI-ORG/agent-data-residency-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/csoai-org/agent-data-residency-mcp/cursorrules)<a href="https://agentmods.dev/rules/csoai-org/agent-data-residency-mcp/cursorrules"><img src="https://agentmods.dev/badge/rules/csoai-org/agent-data-residency-mcp/cursorrules.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00215 | $0.00215 |
| Opus 5 | $0.00108 | $0.00108 |
| Sonnet 5 | $0.00043 | $0.00043 |
| Haiku 4.5 | $0.00021 | $0.00021 |
Grade A, and why
cursorrules scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Agent Data Residency MCP - Auto-trigger Rules
When the user asks about GDPR Chapter V, cross-border data transfers, adequacy decisions, Standard Contractual Clauses (SCCs), Binding Corporate Rules (BCRs), Schrems II, data localization, EU→US data transfers, or "where does this data live?" for agent-to-agent communication, use agent-data-residency-mcp tools:
- check_residency_policy: Verdict on source→target transfer (permitted / restricted / prohibited)
- get_transfer_basis: List GDPR Chapter V mechanisms with documentation requirements
- list_adequacy_decisions: All 16 current EU adequacy decisions
- check_eu_ai_act_data_governance: Article 10 duties for high-risk systems
- log_transfer: Pro+ — immutable audit log entry
Install: pip install agent-data-residency-mcp
Closes the last A2A gap: programmatic transfer-basis lookup at agent runtime, not months later in audit.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 14 lines · 215 tokens per session scan A 874a12e36704
cursorrules is a cursor rule published in the GitHub repository CSOAI-ORG/agent-data-residency-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 215 tokens to every session, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other cursor rules, from other repositories
cursorrules
When the user asks about contract review, use contract-review-ai-mcp tools: analyzecontract, extractclauses, identifyrisks, comparecontracts, summarizecontract.
cursorrules
When the user asks about canada aida, use canada-aida-ai-mcp tools: classifyaisystem, impactassessment, compliancecheck, crosswalktoeuaiact, generatedocumentation.
cursorrules
When the user asks about soc2 compliance, use soc2-compliance-ai-mcp tools: assesstrustprinciples, controlgapanalysis, generatecontrolmatrix, riskassessment, crosswalktoiso27001.
cursorrules
When the user asks about COPPA, FERPA, children's privacy, AADC, kids AI, EdTech, EU AI Act minors, use coppa-ferpa-mcp tools.
cursorrules
When the user asks about CQC, Care Home, Single Assessment Framework, Quality Statement, adult social care, UK domiciliary, use care-home-cqc-mcp tools.
cursorrules
When the user asks about AML, 6AMLD, MLR 2017, sanctions, PEP, KYC, transaction monitoring, SAR, use aml-ai-mcp tools.