Bezi
Bezi is an AI agent for Unity game developers that runs directly inside the Unity Editor. It indexes a project's scripts, assets, scenes, packages and documentation in real time to deliver context-aware debugging, code generation, shader creation, scene building and no-code Unity tool automation that follows each project's own conventions. Bezi supports multiple frontier models (Claude Sonnet, GPT, GLM and others), a Skills system for packaging repeatable workflows, MCP connections for external context (Blender, Miro, Notion, Perforce and more), and real-time collaborative team workspaces. The company is SOC 2 Type II certified and backed by Bessemer Venture Partners and Uncork Capital. Bezi ships an in-editor product and desktop/plugin experience rather than a public HTTP API.
Bezi is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Game Development, Unity, and Developer Tools.
Bezi’s developer surface includes documentation, getting-started guide, quickstart, engineering blog, pricing, signup flow, support, and 12 more developer resources.
Kin Score
Markets this provider is in provisional
The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.
| Market | Position | Depth | Registered MCP server | Declares compatibility |
|---|---|---|---|---|
| IDE Extension Marketplaces (JetBrains, VS Code, Open VSX, Docker Verified Publishers, PyPI orgs) | undeclared | - | - | - |
Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Standards implemented 1
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 4
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Source (apis.yml)
Bezi API — frequently asked questions
Does Bezi have an MCP server?
Yes. APIs.io lists 1 MCP server for Bezi: Remote MCP server at docs.bezi.com over HTTP.
Is the Bezi API ready for AI agents?
Bezi has a Kin Score of 31.7 out of 100 (thin) and an Agent Readiness score of 12.4 (agent-aware), scored by API Evangelist on 2026-11-06.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.