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Frequently Asked Questions

The Model Context Protocol (MCP) is an open standard that standardizes how AI applications (such as Claude Code, Cursor, Windsurf, and autonomous agent fleets) connect to external tools, databases, and APIs. Karada.ai provides the complete infrastructure platform to auto-generate, productionize, host, and distribute MCP servers directly from software APIs.
Karada supports OpenAPI v3 (.json and .yaml), Swagger v2 (.json and .yaml), and Postman Collections. You can supply a live URL pointing to your API definition, configure a CI/CD webhook, or upload raw specification files directly in the dashboard.
Karada keeps tools in sync with CI/CD on every API deploy and spec drift. When your API specification updates in your repository or endpoint, webhooks trigger automatic zero-downtime hot-reloads in under 100ms.
Writing manual MCP servers requires engineering teams to handwrite tool schemas, maintain container scaling, build custom rate limiting and tracing, and fix brittle code whenever API endpoints change. Karada’s compiled Go engine turns APIs into high-throughput Streamable HTTP MCP servers (sub-5ms p99) with 1-click composable plugins (Sentry, GA4, rate limits) and unified gateway distribution.
No. Karada parses your API specification and builds the entire MCP server automatically. Non-technical operators and product managers can supply an API URL, verify the extracted tools, and deploy an active endpoint in under two minutes.
Yes. When compiling an Auto-MCP server, you can choose Download as Standalone to run the self-contained server binary inside your private VPC, local machine, or internal container fleet. Your production API traffic stays entirely within your private infrastructure.
Karada parses authentication requirements defined in your API specification (such as Bearer tokens, API keys, and OAuth). Credentials are encrypted at rest using AES-256-GCM and injected into outbound HTTP requests at the runtime proxy edge. The AI client only receives tool parameters—they never see your production API keys in their context window.
The Unified Gateway serves a dual audience: for developers and enterprise teams, it lets you configure tools once on Karada and use them across multiple harnesses (Cursor, Claude Code, Windsurf) while enforcing organizational tool standards across the company; for MCP creators and API teams, publishing to our registry gets your tools directly in front of users using our gateway across Cursor, Claude Code, and Windsurf.
Yes. Karada provides 1-click composable plugins for Sentry error tracing, Google Analytics/GA4 telemetry, Slack alert webhooks, token-bucket rate limiting, and AI firewalls without modifying your server code. You can also author and publish custom plugins using the standard Karada plugin manifest.

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Troubleshooting Guide

Review the following diagnostic checklist:
  1. Confirm your endpoint URL or path in your configuration is exact.
  2. If using local standalone builds, confirm you ran npm install and npm run build.
  3. Restart your AI client (Cursor / Claude) to refresh cached server connections.
  4. Verify required credentials (e.g., API_KEY) are properly declared in your environment settings.
Run npm install within the unzipped server directory to ensure all dependencies and build artifacts are correctly resolved.
Check that:
  • The URL returns raw JSON or YAML (not an HTML documentation splash page).
  • The URL is publicly reachable by Karada’s validation parser.
  • All schema $ref pointers resolve correctly.
Inspect the live Deployment Logs in your project’s Deployments tab. Typical root causes include invalid specification URLs, unmapped required environment variables, or schema validation errors.

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