mdstrv0.2.0

Developers building AI agents and chatbots need to embed markdown-formatted system prompts, user messages, or few-shot examples into JSON API payloads for services like OpenAI, Anthropic, or Gemini. mdstr converts these markdown files into JSON-safe strings that can be safely injected into API requests without escaping errors.

CI/CD pipelines often generate changelogs and release notes in markdown format that must be sent to Slack, email APIs, or notification services as JSON payloads. mdstr ensures the markdown is properly escaped so webhook and API calls don't fail due to special characters.

Product teams embed markdown help text, tooltips, and onboarding content into JSON configuration files consumed by web or mobile apps. mdstr allows authors to write content in a natural markdown editor and have it reliably serialized into config artifacts.

Content teams and headless CMS workflows push markdown articles to REST APIs that accept JSON bodies. mdstr transforms raw markdown source into the escaped string format required by these endpoints, streamlining automated publishing pipelines.

When orchestrating multiple AI agents, prompts for each role (system, user, reviewer) are stored as markdown files and combined into a single JSON messages array. mdstr simplifies building these complex nested payloads using jq without manual escaping.

Distribute mdstr as a free, MIT-licensed npm package to drive wide adoption among developers. Monetize indirectly through GitHub Sponsors, corporate backing, or grants from AI tooling ecosystems that value open standards.

Offer mdstr as a free core CLI while selling a premium companion suite that includes GUI tools, batch conversion, schema validation, and team collaboration features. Target teams building AI pipelines at scale.

License mdstr's conversion engine as an embeddable SDK for platforms and SaaS products that need markdown-to-JSON capabilities within their own applications. Charge based on usage volume or seat count.