Vinkius
Vinkius is an AI connectivity cloud: a managed catalog of thousands of hosted Model Context Protocol (MCP) Connectors that AI agents call through one URL per connector, working in ChatGPT, Claude, Gemini, Cursor and other MCP clients. Connectors run in a sealed sandbox on the Vinkius Edge (edge.vinkius.com) with credential encryption, governance policies, audit trails, spend controls and log streaming. Developers build on it with the AI Connect SDK (@vinkius/connect) over the Vinkius API (api.vinkius.com), and publish their own connectors with the open source MCP Fusion TypeScript framework.
Vinkius is listed with 2 APIs on the APIs.io network. Tagged areas include Company, MCP, AI Agents, Integration, and Connectors.
Vinkius’ developer surface includes engineering blog, documentation, pricing, signup flow, support, CLI, and 23 more developer resources.
Kin Score
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
Vinkius API
REST API behind the AI Connect SDK: application users, connector connections, write-only credentials, connection tokens, catalog and marketplace search, plus the execution plane...
Vinkius Edge MCP
The hosted MCP data plane. Every connector is a remote MCP server at https://edge.vinkius.com/{connection_token}/mcp; the host also serves OAuth 2 authorization-server and prote...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Vinkius MCP Server
Vinkius IS an MCP platform - every Connector in its catalog (9,258 connectors / 63,093 capabilities per llms.txt on 2026-09-20) is a hosted remote MCP server on the Vinkius Edge...
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Vinkius Com Rate Limits
RATE LIMITSSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes governing access to this provider's APIs.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 5
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 4
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.