# Bluet

**Canonical:** https://apis.io/providers/bluet-dev/  
**Website:** https://bluet.dev/  
**APIs profiled:** 1

Bluet provides an AI‑first product memory platform that captures strategy, decisions, and rules behind software products. It serves this information over an MCP (Machine‑Centric Protocol) allowing teams to read and write product knowledge directly from repositories. The service emphasizes open‑source integration, GitHub‑based read‑only access, and a focus on decision‑making transparency for product managers.

## Kin Score — 7.9 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 62.5 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Access Clarity | 5.3 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 12.7 (matched via fallback).

## Agent readiness — 18.7 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | served |
| 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 | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | yes |
| 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)

- **Bluet API** — API documentation for Bluet's Machine‑Centric Protocol.

## Security (1)

- **Bluet Dev Domain Security** — TLSv1.3 · HSTS

## Tags

Artificial Intelligence, Product-Memory, MCP, Open Source, Decision-Making

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