Three Things Traditional API Tools Can't Do
LLM APIs stream data, AI agents use MCP, and docs need to be machine-readable. Traditional tools handle none of these.
SSE responses come as 100+ fragmented chunks
LLM APIs don't return a single JSON response — they stream Server-Sent Events. Traditional tools dump raw event data you have to piece together by hand.
MCP is the new standard — with zero tooling
Model Context Protocol is how AI agents discover and use your APIs. But until now, there's been no way to build, debug, or test MCP servers.
Your docs are invisible to AI
API documentation was designed for human browsers. AI coding assistants, LLMs, and agents can't discover or consume HTML-rendered docs.
Built for How AI APIs Actually Work.
From streaming LLM responses to MCP servers — purpose-built for how AI APIs work.
MCP Server & Client
Expose your APIs to AI coding assistants instantly. Debug any MCP server visually — no terminal required.
AI-Ready Documentation
llms.txt, raw Markdown, and MCP-enabled docs. Your API specs readable by both humans and machines.
Built-in AI Features
Bring your own AI model for compliance checks, test case generation, and MCP configuration.
SSE Debugging
Auto-merge 100+ streaming chunks into readable Markdown. Support for all major LLM providers out of the box.
The World's Best MCP Tooling
Stop guessing what your MCP server returns. Apidog gives you a full visual environment to build, debug, and validate MCP integrations — no terminal, no test scripts, no uncertainty.
Expose your APIs to AI coding assistants instantly
- AI assistants read your API specs directly from Apidog — no manual export, no copy-paste
- Works with Cursor, Windsurf, Claude Code, Cline, and any MCP-compatible client
- Spec changes reflected immediately as you edit — always up to date
- Published API docs also expose an MCP Server for external consumers
- Zero setup — just copy the MCP connection URL from your project
Debug any MCP server visually — no terminal required
- Connect via STDIO, Streamable HTTP, or SSE — all transports supported out of the box
- Browse Tools, Prompts, and Resources in a visual tree — see everything your server exposes
- Configure parameters via form or JSON editor, run with one click, inspect responses instantly
- Auto OAuth 2.0 — Apidog detects auth config and handles the entire flow automatically
- Full message timeline with JSON-RPC details: type, content, timestamp, and envelope view
Docs for Humans and Machines
Your API documentation serves two audiences now: developers who read it, and AI systems that consume it. Apidog generates both from the same source — so neither is ever out of date.
llms.txt & Markdown for Your API Docs
Apidog supports /llms.txt and Markdown pages for your API docs. Use the .md pages to quickly feed your API documentation into LLMs.
Ask AI
Ask any question about your API documentation and get instant, accurate answers. The Ask AI feature lets developers query your docs in natural language — no more searching through pages.
AI-Native Features Across Your API Lifecycle
Supercharge your API lifecycle with AI-powered features. Connect your own models and let AI handle compliance, testing, and documentation automatically.
Bring Your Own AI Model
Support connecting to any AI model. Data is transmitted directly from your client to the AI provider, bypassing Apidog servers to ensure complete privacy.
- Connect OpenAI, Azure OpenAI, Anthropic, or any custom LLM
- Direct API calls from your local client to the AI provider
- No data collection or telemetry by Apidog
API Documentation & Compliance Check
Automatically scan your API documentation for missing descriptions and verify endpoint specifications against organizational standards — ensuring both completeness and consistency.
- Intelligently scan and highlight fields missing essential descriptions and examples
- Validate URI path formats, parameter naming conventions, and required fields
- Built-in rules with support for custom team-specific API design guidelines
Generate Test Cases
AI instantly generates comprehensive test scenarios from your API specification, saving hours of manual QA.
- Automatically cover comprehensive testing scenarios including edge-cases
- Auto-fill realistic test data based on parameter constraints and validations
- Specify additional custom test requirements interactively using natural language
MCP Configuration Directly within Apidog
Each endpoint in Apidog has an "AI Coding" button. Instantly copy its OpenAPI Spec and MCP Server configuration for tools like Cursor — so AI can directly read and understand your API docs.
- Each endpoint has an AI Coding button with one-click OpenAPI Spec export
- Copy MCP Server configuration for Cursor, Windsurf, and other AI coding tools
- AI assistants can directly read and understand your API documentation
Stop Reading Raw Event Streams.
Debug streaming AI responses with auto-merge, reasoning chain visualization, and built-in support for OpenAI, Claude, Gemini, and DeepSeek formats.
Auto-Merge Streaming Responses
SSE streams arrive as fragmented data chunks. Apidog automatically detects text/event-stream responses and merges them into a unified output — essential for debugging LLM API responses.
SSE Debugging for LLM APIs in Published Docs
Readers of your published API documentation can debug SSE endpoints — including streaming LLM responses — directly in the browser, without any additional tooling.
#1 Easiest to Use API Development Software
Ranked by real users on G2, the world's #1 B2B software review platform.
TRUSTED BY TOP BRANDS WORLDWIDE
AI APIs Deserve AI-Native Tools.
Join 600k+ developers who use Apidog to build, test, and debug the next generation of AI-powered applications.