# Trope

**Canonical:** https://apis.io/providers/trope/  
**Website:** https://trope.ai  
**APIs profiled:** 0

Trope is an AI-native platform that helps ERP implementation partners deliver successful implementations faster, deploying AI agents across discovery, requirements, fit-gap analysis, data migration, approval workflows, UAT scripts, training guides, documentation, and go-live readiness — built for Microsoft Dynamics 365 Business Central consultancies and other implementation teams. Trope also maintains Trope CUA, an open-source MCP-native computer-use agent for background desktop automation on Windows and macOS. Y Combinator Summer 2026 batch, based in San Francisco.

## Kin Score — 18.1 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 18.1).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 18.4 |
| Developer Ergonomics | 14.3 |
| Commercial Clarity | 35.5 |
| Access Clarity | 35.5 |

## Agent readiness — 4.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |

## Access

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

## MCP servers (1)

- **Trope MCP Server** — Trope publishes Trope CUA, an open-source (MIT) MCP-native computer-use agent for background desktop automation on Windows and macOS. It exposes target-window screenshots, acces...

## Security (2)

- **Trope Domain Security** — TLSv1.3 · HSTS · DMARC
- **Trope Trust Center** — trust center published

## Tags

Company, Artificial Intelligence, Agents, ERP, Enterprise Software, Computer Use, MCP, Automation

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