Kurrent
Kurrent — formerly Event Store Ltd — builds KurrentDB, an event-native database purpose-built to store, process and deliver application state changes as an immutable, append-only log of events. Where a traditional CRUD database overwrites rows and discards the history that produced them, KurrentDB retains every state change as a first-class event, giving applications a complete audit trail, temporal queries and the ability to replay history to rebuild state or seed new read models. The product line spans KurrentDB (open-source and commercial, self-hosted), Kurrent Cloud (managed clusters on AWS, Azure and Google Cloud), Kurrent Enterprise, and Capacitor, a shared memory layer for agentic coding. Developers integrate over a primary gRPC protocol with official client SDKs for .NET, Java, Node.js, Python, Go and Rust, or over the native AtomPub-style HTTP API. Connectors move events in and out of Kafka, MongoDB, Elasticsearch, RabbitMQ, Pulsar, SQL and HTTP endpoints. KurrentDB is widely used for event sourcing, CQRS, event-driven microservices, change data capture and, increasingly, as durable memory for AI agents.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Kurrent the way a machine reads it — 15 machine-readable artifacts across 9 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Kurrent scores 61.1/100 (strong), with a separate agent-readiness read of 69/100 (agent native). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Kurrent
Each block below is one kind of artifact we hold for Kurrent. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 9
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
KurrentDB gRPC API
The primary protocol for KurrentDB. The published protocol buffer definitions cover the v2 streams service (multi-stream appends, reads), the schema registry service, the second...
Kurrent Admin API
Node administration operations
Kurrent Gossip API
Cluster gossip
Kurrent Info API
Node information and configuration
Kurrent Projections API
Create, manage and query projections
Kurrent Statistics API
Node statistics
Kurrent Streams API
Append to, read from and manage event streams
Kurrent Subscriptions API
Persistent (competing consumer) subscription management and consumption
Kurrent Users API
User account management
Scroll within the panel for all 9 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
kurrent-mcp.yml
MCP SERVEREvent Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Kurrent Connectors Webhooks
ASYNCAPISecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.
OAuth scopes governing access to this provider's APIs.
Resources
Every other property we hold for Kurrent — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 5
Portal, sign-up, and the first successful call
Documentation 3
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 8
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 8 ·
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Learn 2
Tutorials, courses, talks, and written guidance
Operate 7
Status, limits, changes, and where to get help
Scroll within the panel for all 7 ·
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 2
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/kurrent · machine-readable index on apis.io