Meshery
Meshery is the cloud native manager for Kubernetes and cloud native infrastructure. It is an extensible, self-service engineering platform that enables collaborative design, lifecycle and performance management of cloud native applications and infrastructure. Meshery exposes REST and GraphQL APIs for automating multi-cluster operations, design management, performance profiling, and integration with hundreds of CNCF and ecosystem projects.
Meshery is profiled on the APIs.io network. Tagged areas include Cloud-Native, CNCF, Kubernetes, Service Mesh, and Platform Engineering.
Meshery’s developer surface includes documentation, signup flow, engineering blog, and 14 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 |
|---|---|---|---|---|
| OpenSSF Best Practices Badge Holders | standard | 58.1 | - | - |
| Artifact Hub Cloud-Native Packages | standard | 58.1 | - | - |
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.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 2
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 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.