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Product Hunt Cortex

Turn API specs into docs, SDKs, and MCP servers

260
Traction Score
32
Discussions
Sep 12, 2026
Launch Date
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Product Positioning & Context

Cortex is an open source API knowledge layer that turns OpenAPI, AsyncAPI, GraphQL, gRPC, and OpenRPC specs into interactive documentation, typed SDKs in 11 languages, and MCP servers for AI agents.
API Open Source Developer Tools

Related Ecosystem & Alternatives

Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.

Deep-Dive FAQs

What is Cortex?
Cortex is a digital product or tool described as: Turn API specs into docs, SDKs, and MCP servers
Where did Cortex originate?
Data for Cortex was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Cortex publicly launched?
The initial public indexing or launch date for Cortex within our tracked developer communities was recorded on September 12, 2026.
How popular is Cortex?
Cortex has achieved measurable traction, logging over 260 traction score and facilitating 32 recorded discussions or engagements.
Which technical categories define Cortex?
Based on metadata extraction, Cortex is categorized under topics such as: API, Open Source, Developer Tools.
Is Cortex recognized by media or academic researchers?
Yes. It has been covered by media outlets like Pypi.org. This indicates the concept has reached a level of mainstream or scientific viability beyond just developer forums.
How does the creator describe Cortex?
The original author or development team describes the product as follows: "Cortex is an open source API knowledge layer that turns OpenAPI, AsyncAPI, GraphQL, gRPC, and OpenRPC specs into interactive documentation, typed SDKs in 11 languages, and MCP servers for AI agents."

Community Voice & Feedback

[Redacted] • Sep 12, 2026
we run a small mcp server, 28 tools, and the part that took longest was not the types. it was the descriptions.two of ours read "fetch before prospecting to skip duplicates" and "stored as DRAFT, not sent". neither of those is in any schema. the first is an ordering rule, the second is there so the agent doesnt tell you it sent something that is only queued.a spec gives you the shape of every call and nothing about which of two similar endpoints is the right one. for the sdk thats fine, the developer reads the page. for the agent that one string is the whole basis of the decision.so when you generate the mcp server, what goes into the tool description? the summary field from the spec, or something else?
[Redacted] • Sep 12, 2026
The SDK generation is that your own work or are you using the one from OpenAPI ? The C# generation from openapi is a a messy code bloat.
[Redacted] • Sep 12, 2026
sometimes I start with the docs but then get distracted rewriting API calls. if Cortex auto-generates integration code from specs, might save me from wandering off before everything's written up. but I always skip reading the full spec first, so who knows.
[Redacted] • Sep 12, 2026
Love that Cortex treats AI agents and developers as first class consumers of the same spec, generating one source of truth into SDKs, docs, and MCP servers instead of duplicating the work.
[Redacted] • Sep 12, 2026
I would be interested to see how it custom code when teams need behavior beyond what the API spec defines.
[Redacted] • Sep 12, 2026
Regarding the auto-generation of SDKs for 11 programming languages, what is your approach to ensuring consistency with any changes to the original specification, auto-regeneration on every change or manual intervention?BTW, Congratulations @nick_csu & @fmerian on the launch of Cortex πŸš€πŸŽŠ
[Redacted] • Sep 12, 2026
Looks another amazing product. Congrats @nick_csu & team!

Thanks for sharing @fmerian πŸ™ŒπŸ»
[Redacted] • Sep 12, 2026
I would love to know how it performs with large and messy real world specifications.
[Redacted] • Sep 12, 2026
​11 languages? my team can barely maintain two definitely giving this a shot over the weekend!
[Redacted] • Sep 12, 2026
​The docs preview looks super clean. genuinely impressive work on unifying asyncapi and openapi into one workflow.
[Redacted] • Sep 12, 2026
@nick_csu the idea of interactive API docs sounds sweet, for me, the way i'd use this is via mcp, being a SWE myself, and i find this solution useful personally, gonna try it out, thanks!
[Redacted] • Sep 12, 2026
​11 languages? my team can barely maintain two... definitely giving this a shot over the weekend!
[Redacted] • Sep 12, 2026
​we have a mix of graphql and REST endpoints in one project. can cortex bundle both into a single mcp server or do we split them?
[Redacted] • Sep 5, 2026
Hey Product Hunt πŸ‘‹

I’m Nick, and I built Cortex because being an engineer in the AI era means your APIs increasingly need to serve two very different users: developers and AI agents.

But supporting both often means doing the same work twice. You build documentation and SDKs for developers, then create separate MCP tools and context for agents.

Today, these pieces are usually maintained separately. They drift out of sync, create duplicate work, and leave AI agents trying to understand your API from incomplete or outdated context.

Cortex makes your API contract the source of truth.

Give it your OpenAPI, AsyncAPI, GraphQL, gRPC, or OpenRPC specs, plus Markdown, and Cortex generates:
πŸ“š Interactive documentation for developers
⌨️ Typed SDKs across 11 languages
πŸ€– MCP servers with typed tools and grounded API context

Everything is open source and MIT licensed. You can customize the templates, publish the SDKs wherever you want, and host the generated documentation yourself.

The idea is simple: define your API once, then give every developer and every agent the interface they need to actually use it.

Check out the open source repo at https://github.com/cortex-docs/c...

I would love feedback from teams building APIs, SDKs, developer tools, and agent integrations.

What would make Cortex more useful in your workflow?

Discovery Source

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Tech Stack Dependencies

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Media Tractions & Mentions

Deep Research & Science

Foundational academic research matching this product's technical positioning.