Announcing the Next Generation of the Spira MCP Server: AI Can Now Work With Spira, Not Just Read It

21-Jul-2026 by Adam Sandman Product News

For the past several months, we've seen an explosion of AI-powered development tools such as Claude Code, Cursor, Kiro, GitHub Copilot, and Visual Studio Code with AI agents such as Cline. These tools have transformed how developers write code—but until now, they could only look at project data stored in Spira.

Today, that changes.

We're excited to announce a major new release of the Spira MCP Server, transforming it from a read-only research tool into a fully interactive AI integration platform. AI assistants can now not only retrieve information from Spira, but also create, update, organize, and collaborate on work items directly inside your ALM environment.

This is a significant step toward making AI a true member of your software development team.

From Read-Only to Read-Write

Previous versions of the Spira MCP Server gave AI assistants secure access to your project information. They could answer questions like:

  • What requirements are assigned to me?
  • Which test cases cover this feature?
  • What incidents are blocking this release?

Those capabilities remain, but now in addition, AI can also take action.

The latest release enables AI assistants to perform many of the everyday tasks that development teams carry out in Spira, including:

  • Create new requirements, tasks, incidents, risks, releases, and other product artifacts
  • Update existing artifacts as work progresses
  • Add comments to support discussions and maintain project history
  • Perform advanced filtered searches to quickly locate the right information
  • Read and update custom properties
  • Retrieve artifact relationships and associations for complete traceability

Instead of acting as a passive observer, AI becomes an active participant in your development workflow.

AI That Keeps Your ALM System Up to Date

One of the biggest frustrations with AI coding assistants is that they often exist outside your development management processes. They can generate code, but developers still need to manually update project management systems afterward.

With the enhanced Spira MCP Server, that gap disappears.

Imagine asking Claude Code:

"Implement Requirement RQ-452, update its status to In Progress, create implementation tasks, and add a progress comment."

Or asking Cursor:

"Create a defect from this failing test and link it to the affected requirement."

Or asking Kiro:

"Generate five child requirements from this user story and assign them to the next sprint."

The AI can now perform these actions directly in Spira while you remain focused on development.

The Agentic SDLC with Spira

Built for Modern AI Development Environments

The new capabilities work seamlessly with MCP-compatible AI clients, including:

  • Claude Code
  • Cursor
  • Kiro
  • Visual Studio Code
  • Any Model Context Protocol-compatible assistant

This means your AI development environment becomes a natural extension of your Application Lifecycle Management platform.

Rather than switching between browser tabs, copying IDs, or manually synchronizing information, your AI assistant can work directly with the same project data your team already uses.

Better Context Means Better AI

Software projects aren't just collections of individual work items, they're connected ecosystems:

  • Requirements relate to test cases.
  • Incidents trace back to requirements.
  • Tasks belong to releases.
  • Risks affect milestones.

The updated MCP Server exposes these relationships to AI through comprehensive association retrieval. This gives AI assistants a much richer understanding of your project before suggesting changes or implementing features.

Combined with support for custom properties and advanced filtering, AI can now make decisions using the same contextual information your engineering team relies upon every day.

Why This Matters

The software industry is rapidly moving from simple AI-assisted development towards AI-orchestrated development (often called the "software factory"), but organizations still need governance, traceability, and collaboration.

  • Spira provides the system of record (also called the data substrate)
  • AI provides acceleration.
  • The new Spira MCP Server bridges these two worlds.

This means that AI now enhances the power of your Software Development Lifecycle (SDLC) management system, keeping project information accurate while reducing manual administrative work for developers, testers, business analysts, and project managers alike. This is the new Agentic SDLC.

Available Today

The latest version of the Spira MCP Server is available now.

Whether you're building with Claude Code, Cursor, Kiro, or another MCP-compatible AI assistant, there's never been a better time to connect your AI directly to Spira. The future of software development isn't just AI writing code.

It's AI collaborating with your entire software delivery lifecycle, and that future starts today with the new Spira MCP Server.