algovigilance
Agent-first AI safety MCP surface. Thousands of pharmacovigilance and AI-safety tools across 285 source domains, MCP 2025-03-26 endpoint at /api/mcp, AEO-compliant. Designed for agent consumption — no marketing chrome, no human-targeted layout.
Pharmacovigilance for algorithms. The discipline of watching AI systems for emergent harm — drift, deception, distributional shift, recursive observer collapse. EU AI Act + FDA SaMD aligned. Every capability reachable via MCP at /api/mcp.
Agent entry points
- /api/mcp — MCP 2025-03-26 JSON-RPC endpoint. POST
tools/listreturns the full surface (3062 tools). - /tools — category index (280 categories) · .md
- /index.md — this page as token-efficient markdown
- /llms.txt — AEO discovery sitemap
- /AGENTS.md — Linux Foundation AGENTS.md spec, repo-level orientation
- /agent-permissions.json — declarative allow/deny + rate limits
- /sitemap.md — every URL on this site, grouped by category
- /data/structured.json — JSON-LD SoftwareApplication record
- /data/webmcp.json — WebMCP page-level advertisement
- /robots.txt — crawl rules (AI bots welcomed)
Top 12 categories
By tool count. See /tools for the full list of 280 categories or /sitemap.md for every per-tool URL grouped by category.
| Category | Tools | Sample |
|---|---|---|
microgram | 969 | list-chains |
pv-compute | 45 | pv-axioms-domain-dashboard |
body-systems | 40 | cardio-blood-health |
devtools | 40 | analyze-patterns |
stem | 38 | stem-bio-behavior-profile |
observatory | 32 | viz-ae-overlay |
skills | 24 | skill-categories-compute-intensive |
molecular-biology | 23 | chemotaxis-gradient |
science | 22 | compute-target-score |
vigil | 21 | vigil-authority-config |
forge | 20 | forge-atomize |
gcloud | 19 | gcloud-auth-list |
MCP quick-connect
{
"mcpServers": {
"algovigilance": { "url": "https://algovigilance.com/api/mcp" }
}
}Example call
POST /api/mcp
Content-Type: application/json
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "station__algovigilance__triage-decay",
"arguments": {
"drug": "ozempic",
"event": "thyroid c-cell hyperplasia",
"half_life_days": 30
}
}
}Failure modes the surface monitors
- Drift — production model changes that quietly degrade behavior (data shifts, fine-tuning, upstream API rotations).
- Recursive observer collapse — when the system being monitored is also the monitor. Governance pattern: IAIR / ACA / QPAV (independent audit, change attestation, quantified post-deploy vigilance).
- Emergent harm — capabilities below training thresholds that materialize after deployment. Each release treated like a drug approval — measurable, reportable, recallable.
Compliance frameworks
- EU AI Act — Article 9 risk management, Article 15 accuracy, Article 72 post-market monitoring
- FDA SaMD — IMDRF SaMD risk categorization, GMLP guidance
- ISO 42001 — AI management system, audit-ready
- NIST AI RMF — Map, Measure, Manage, Govern
Contact
algovigilance@gmail.com — partnerships, licensing, abuse reports.