Cursor for your API

Product Introduction

1. Cursor for your API is an AI-powered API editor designed to streamline the entire API development lifecycle, from initial design to testing and deployment. It enables users to generate or import OpenAPI specifications, edit APIs with AI assistance, perform linting, preview documentation, and execute API calls directly within the editor. The platform provides actionable insights on design quality, developer experience (DX), security, and AI readiness while prioritizing privacy and security through local processing and user-controlled AI models/keys.
2. The core value lies in accelerating API development by integrating AI-driven design, real-time validation, and testing tools into a single workspace. It eliminates fragmented workflows by combining specification management, documentation previews, and security analysis, ensuring APIs meet industry standards while maintaining full control over sensitive data and infrastructure.

Main Features

1. AI-Assisted API Design and Editing: Users can generate OpenAPI specifications from natural language prompts or import existing definitions, with AI providing real-time suggestions for endpoint structure, parameter optimization, and error handling. The editor auto-fixes linting errors, validates specifications against OAS standards, and maintains version control for collaborative workflows.
2. Integrated Testing and Documentation Environment: Changes to API specifications instantly reflect in interactive documentation previews, allowing users to test endpoints with mock data or live servers without switching tools. Built-in HTTP client supports authentication protocols (OAuth2, API keys) and payload formats (JSON, XML), while response validation checks consistency with the OpenAPI schema.
3. Automated Quality Scoring and MCP Export: Every API receives a granular score (0–100) across four pillars—design consistency, developer experience, security compliance, and AI readiness—with detailed breakdowns of vulnerabilities or inefficiencies. One-click MCP (Mock/Code/Proxy) server generation enables local deployment for testing, code scaffolding, or API gateway simulations.

Problems Solved

1. Fragmented API Development Workflows: Traditional tools require separate platforms for design (Swagger), testing (Postman), documentation (Redoc), and security scanning, leading to context switching and version mismatches. Cursor unifies these stages with synchronized specification-documentation-testing pipelines.
2. Target User Groups: API developers, product managers, and DevOps engineers in startups or enterprises who need to rapidly prototype, validate, and deploy APIs while adhering to compliance standards (GDPR, HIPAA) and AI integration requirements.
3. Typical Use Cases: Migrating legacy APIs to OpenAPI standards with AI-guided refactoring, generating production-ready specifications from wireframes or user stories, and conducting security audits for APIs exposed to third-party developers or AI agents.

Unique Advantages

1. Privacy-First Architecture: Unlike cloud-based API platforms, Cursor processes all data locally in the user’s browser, ensuring sensitive specifications, prompts, and API keys never leave the device. Users can opt for default AI models or integrate their own (e.g., OpenAI, Anthropic) with custom API keys.
2. AI Readiness Optimization: The platform evaluates APIs for compatibility with AI agents by analyzing endpoint predictability, error code standardization, and schema granularity, providing actionable recommendations to improve LLM-based consumption.
3. No-Code MCP Server Generation: Competitors require manual configuration for mock servers or proxies, but Cursor auto-generates a local server with three modes—mock (simulated responses), code (Node.js/Python scaffolding), and proxy (live traffic routing)—using Docker or native executables.

Frequently Asked Questions (FAQ)

1. Where is my API specification data stored? All processing occurs locally in your browser—specifications, test results, and AI prompts are never transmitted to external servers or stored in databases. Users retain full ownership and control.
2. Can I use proprietary AI models instead of the default setup? Yes. The editor supports custom AI integrations—input your model’s API endpoint and key to override default settings. Model outputs are processed locally, ensuring no third-party data exposure.
3. What security standards does the MCP server support? Exported servers include TLS encryption, rate limiting, and OpenID Connect compatibility out-of-the-box. Security scores in the editor highlight vulnerabilities like missing CORS headers or unauthenticated POST endpoints before deployment.