A Model Context Protocol (MCP) server enabling AI assistants to interact with Spira by Inflectra.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Server Spira.
mywork_search_artifactsYour assigned items (task, incident, requirement, test_case, test_set) with filtering and field projection
product_search_artifactsSearch artifacts in a product (11 types). Supports cross-product fan-out, server-side filtering, and nested sub-artifact includes.
product_get_artifactSingle artifact by ID with full details and optional sub-artifact includes
program_search_artifactsSearch program-level artifacts (capability, milestone)
product_create_artifactCreate artifacts (incident, task, requirement, test_case, risk, release, test_set, build, test_step, mitigation, requirement_step)
product_update_artifactUpdate existing artifacts
A Model Context Protocol (MCP) server that lets AI assistants interact with Inflectra Spira β covering project management, test management, and requirements management.
Works with SpiraTest, SpiraTeam, and SpiraPlan.
Install from PyPI:
Add to your MCP client config:
For Cline, add "type": "stdio" to the server config. For Claude Desktop:
Set these environment variables (or use a .env file):
| Variable | Required | Description |
|---|---|---|
INFLECTRA_SPIRA_BASE_URL | Yes | Base URL for your Spira instance |
INFLECTRA_SPIRA_USERNAME | Yes | Your Spira login name |
INFLECTRA_SPIRA_API_KEY | Yes | API Key (RSS Token) from your Spira user profile |
SPIRA_PROJECT_ID | No | Default product ID β avoids passing product_id on every call |
13 tools organized by scope. All data-retrieval tools return structured JSON with field projection, filtering, and a consistent response envelope.
| Tool | Description |
|---|---|
mywork_search_artifacts | Your assigned items (task, incident, requirement, test_case, test_set) with filtering and field projection |
product_search_artifacts | Search artifacts in a product (11 types). Supports cross-product fan-out, server-side filtering, and nested sub-artifact includes. |
product_get_artifact | Single artifact by ID with full details and optional sub-artifact includes |
program_search_artifacts | Search program-level artifacts (capability, milestone) |
| Tool | Description |
|---|---|
product_create_artifact | Create artifacts (incident, task, requirement, test_case, risk, release, test_set, build, test_step, mitigation, requirement_step) |
product_update_artifact | Update existing artifacts |
product_record_test_run | Record automated test results from CI/CD |
create_comment | Add a comment to an artifact |
create_association | Link two artifacts (related-to, depends-on, coverage) |
| Tool | Description |
|---|---|
workspace_search | List products, programs, or product templates with field projection |
workspace_get | Get a single product, program, or template by ID |
template_get_metadata | Types, statuses, priorities, severities, custom properties, and more for a template |
get_artifact_schema | Field schema for any artifact type (local-only, no API call) |
Try these prompts with your AI assistant:
MIT β see LICENSE.
Built with MCP Python SDK Β· Spira REST API v7.0
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