# Fenris MCP Server

**Canonical:** https://apis.io/providers/fenrisd/  
**Website:** https://fenrisd.com/  
**APIs profiled:** 1

Fenris provides real-time insurance data and predictive AI solutions that power quoting, risk assessment, and personalized customer experiences. Their MCP platform offers prefill, predictive scoring, and data enrichment across auto, property, and commercial insurance, serving millions of transactions annually. The service integrates via RESTful APIs, delivering sub‑second response times, SOC 2 compliance, and enterprise‑grade security.

## Kin Score — 7.7 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-3.8 from 11.5).

| Facet | Score |
|---|---|
| Discoverability | 56.3 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 6.0 |
| Access Clarity | 10.5 |

Regulatory layer — **Insurance**: 8.2 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **Fenris MCP API** — Real-time insurance data and predictive AI via the Fenris MCP platform. Provides prefill, scoring, and data enrichment APIs.

## Security (1)

- **Fenrisd Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Insurance, Data, Artificial Intelligence

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/fenrisd/). Scores are computed from the provider's own public artifacts under a published rubric.