Apidog
Apidog is an all-in-one API development platform that connects the entire API lifecycle: visual API design, multi-protocol debugging (HTTP, REST, GraphQL, gRPC, WebSocket, SOAP, SSE), automated testing with a CLI, smart mocking, and published interactive documentation - all in a single collaborative workspace. As of 2026 Apidog also ships native MCP support: an apidog-mcp-server that feeds API specs to AI coding assistants (Cursor, VS Code + Cline) and an MCP Client inside the desktop app that visually debugs MCP servers over STDIO and Streamable HTTP with auto OAuth 2.0 configuration.
Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.
API Evangelist profiles Apidog the way a machine reads it — 57 machine-readable artifacts across 1 API, 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 — Apidog scores 74.6/100 (exemplar), with a separate agent-readiness read of 60/100 (agent ready). 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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Apidog
Each block below is one kind of artifact we hold for Apidog. 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 1
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.
Apidog Import And Export API
Import and export API specification data in OpenAPI, Swagger, and Postman Collection formats.
Postman Collections 1
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
Apidog API
POSTMANOpen Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Apidog API
OPEN COLLECTIONArazzo Workflows 9
Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.
Multi-step API workflows described with the Arazzo specification.
Apidog Backup And Restore Project
Export a project as a backup document, then branch to restore it into a recovery project only when the export succeeds.
ARAZZOApidog Consolidate Sources Into One Project
Import an OpenAPI spec and a Postman Collection into one project, then export the merged result.
ARAZZOApidog Convert Postman Collection To OpenAPI
Import a Postman Collection into Apidog and export it back out as OpenAPI.
ARAZZOApidog Downgrade OpenAPI Version
Import a modern OpenAPI spec into a project and re-export it at an older OpenAPI version.
ARAZZOApidog Dual-Format Export Archive
Export the same project once as JSON and once as YAML to produce a two-format archive.
ARAZZOApidog Import Spec From URL And Verify
Import an OpenAPI spec from a remote URL into a project, then export it back to verify.
ARAZZOApidog Migrate Spec Between Projects
Export the API specification from one Apidog project and import it into another.
ARAZZOApidog Promote Spec Between Branches
Export a spec from one sprint branch and import it into another branch of the same project.
ARAZZOApidog Sync Module Across Projects
Export a specific module from one project and import it into a module of another project.
ARAZZOScroll within the panel for all 9 ·
MCP Servers 2
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.
apidog-mcp-server
MCP SERVERapidog-mcp-server
MCP SERVERGraphQL 1
Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.
GraphQL schemas published by this provider.
Apidog GraphQL API
GRAPHQLPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Apidog Plans Pricing
PLANSRate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Apidog Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Apidog Finops
FINOPSFeatures 11
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
API Design
Visual OpenAPI/Swagger editor with JSON Schema support, reusable schemas, Git integration, and sprint branches for collaborative development.
API Debugging
Multi-protocol support for HTTP, REST, GraphQL, gRPC, SOAP, WebSocket, and SSE with auto-validation of responses against API specs and direct database connectivity.
API Testing
Visual test scenarios with CI/CD integration via the apidog-cli npm package, data-driven testing with CSV/JSON datasets, performance testing, and AI-generated test cases.
API Mocking
Zero-configuration smart mock generation from specs, cloud-based and local mock servers, and custom mock rules.
API Documentation
Auto-generated interactive docs with custom domains, auto-generated SSL certificates, Markdown support, and versioning control.
Team Collaboration
Real-time synchronization, sprint branches for parallel development, role-based access control, and SSO support.
Apidog MCP Server
Local MCP server (npx apidog-mcp-server) that feeds Apidog projects, published docs, or local/remote OpenAPI files to AI coding assistants like Cursor and VS Code + Cline for gr...
Apidog MCP Client
Visual MCP debugging built into the Apidog app. Supports STDIO and Streamable HTTP transports with auto OAuth 2.0 configuration and a Tools / Prompts / Resources tree.
AI Test Case Generation
AI Test Engine analyzes API specs to automatically generate positive, error-handling, boundary, and security test cases.
AI Schema Descriptions and Mock
AI assistance to modify field descriptions and generate mock data directly inside API schemas.
Enterprise Security
SOC 2 Type II posture with GDPR and ISO 27001 alignment, TLS 1.3+ in transit, AES-256 at rest, plus optional on-premises deployment.
Scroll within the panel for all 11 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Apidog Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Apidog API Rules
SPECTRALApidog API Rules
SPECTRALJSON Schema 4
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
Apidog Error
JSON SCHEMAApidog Export Result
JSON SCHEMAApidog Import Result
JSON SCHEMAApidog Project
JSON SCHEMAExamples 3
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Security 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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 6
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
API Design-First Development
Design APIs visually before writing code, enabling frontend and backend teams to work in parallel.
Automated API Testing
Build comprehensive regression test suites with CI/CD integration (Jenkins, GitHub Actions, GitLab CI, Bitbucket) via the Apidog CLI.
API Documentation Publishing
Automatically generate and publish interactive developer documentation from API specifications, with custom domains and white-labeling on paid tiers.
Mock Server Development
Enable frontend development independent of backend completion using intelligent mock data generation from specs.
AI-Assisted API Coding
Connect Apidog projects to Cursor or VS Code + Cline through the Apidog MCP Server so AI assistants generate DTOs, controllers, and client code aligned with the real API contract.
AI Agent Debugging
Use Apidog MCP Client to visually exercise MCP servers (Tools, Prompts, Resources) over STDIO or Streamable HTTP while building AI-agent backends.
Integrations 8
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
OpenAPI / Swagger
Import and export OpenAPI 2.0 / 3.0 / 3.1 specifications, with Apidog-specific x-apidog-* extensions preserved on export.
Postman
Postman Collection v2 import with scripting-syntax compatibility.
CI/CD Platforms
Apidog CLI integrates with Jenkins, GitLab CI, GitHub Actions, and Bitbucket Pipelines for automated test runs.
Databases
Connects to MySQL, PostgreSQL, Oracle, SQL Server, and ClickHouse for dynamic test data.
Credential Vaults
HashiCorp Vault, Azure Key Vault, and AWS Secrets Manager.
Enterprise SSO
SAML 2.0, Microsoft Active Directory, OIDC, and SCIM for enterprise identity management.
IntelliJ IDEA Plugin
IDEA plugin for JavaDoc-driven API definition generation.
Cursor And VS Code + Cline
Through apidog-mcp-server, Apidog projects and OpenAPI files become directly accessible to MCP-compatible AI coding assistants.
Scroll within the panel for all 8 ·
Resources
Every other property we hold for Apidog — 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 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 9
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 9 ·
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Commercial 2
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
← All providers · Data indexed from github.com/api-evangelist/apidog · machine-readable index on apis.io