At Vortex IQ, we’ve spent the past 18 months building a new kind of infrastructure for AI agents — one that doesn’t just wrap APIs with prompts, but understands their structure, intent, and safe execution paths.

This infrastructure is called the Model Context Protocol (MCP) — the connective tissue that allows AI agents to reason, plan, and act across APIs with precision, safety, and autonomy.

And today, we’re excited to announce:
We’re open-sourcing the MCP.

Here’s why we’re doing it — and why we believe this protocol will power the next generation of intelligent software.

What Is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is a specification and framework that:

  • Describes an API’s schema, capabilities, and constraints in a format AI models can understand
  • Provides agents with structured context to reduce hallucinations and errors
  • Standardises how natural language inputs are translated into structured, safe API calls
  • Enables prompt-to-action workflows using real-time API logic
  • Supports dynamic skill composition and validation in agentic environments

In short, MCP is what makes our AI agents smart enough to operate like developers — but 100x faster and without code.

Why Open Source It?

1. To Set the Standard for Agentic Interoperability

Right now, most AI agents are built with siloed, hardcoded prompts. There’s no shared structure.
By open-sourcing MCP, we’re creating a shared language that any platform, tool, or agent framework can adopt to:

  • Parse APIs safely
  • Build and share reusable agents
  • Ensure consistent behaviour across systems

2. To Accelerate Ecosystem Growth

We’ve had inbound interest from:

  • SaaS platforms wanting to expose their APIs to our agents
  • Agencies looking to integrate their workflows
  • LLM builders who want their models to “think in actions”

Open sourcing MCP allows this innovation to happen faster — without needing to wait for integrations from our side.

3. To Build Trust & Transparency

By sharing our approach publicly, we’re inviting:

  • Developers to inspect and improve our methods
  • Security teams to audit how agents map to APIs
  • The community to contribute new use cases and tooling

The AI agent economy can’t be built on black boxes. MCP brings clarity.

4. To Future-Proof Agent Design

We believe that 2–3 years from now, every serious AI agent will need:

  • Schema awareness
  • Context validation
  • Secure, role-based execution
  • API-first reasoning

MCP is designed with this future in mind — and open-sourcing it gives it room to evolve organically across domains.

What’s Included in the Open Source Release?

  • MCP Schema Specification (v1.0)
  • Sample schemas for popular APIs (BigCommerce, Shopify, Google Analytics, Stripe, etc.)
  • Schema field categorisation (text, number, date, boolean, enum)
  • CLI tool to generate MCP from OpenAPI specs
  • Examples of prompt-to-intent transformation using MCP
  • Developer documentation + contribution guidelines

We’ll be adding:

  • GraphQL support
  • Skill composition framework
  • Auto-testing for API logic flows
  • Agent memory integration

Who Is This For?

  • API-first SaaS platforms
  • Developers building AI agents or assistants
  • Agencies building automations across platforms
  • LLM tool builders
  • DevRel and DevOps engineers looking for scalable agent infrastructure

What Comes Next?

We’re also launching:

  • A public MCP registry of prebuilt schemas
  • A community of MCP contributors
  • Integration guides for tools like Postman, Swagger, and Insomnia
  • Deep integration with the Agent Builder Studio
  • A versioned spec roadmap with community voting

We envision a world where:

Any developer can take an API and make it agent-ready in minutes.

And together, we can make that happen.

Final Thoughts

We didn’t create the MCP to lock anyone in.
We created it to unlock a new era of software — one where agents are as easy to build as websites.

By open-sourcing the Model Context Protocol, we’re offering the scaffolding for that future.
Now it’s your turn to build with it.

  •  Explore the repo: github.com/vortexiq/mcp
  • Start contributing
  • Or just fork, test, and launch your first agentic project

Let’s build an open, interoperable, intelligent future — together.