A Model Context Protocol (MCP) server enabling AI assistants to interact with Spira by Inflectra
This MCP server allows AI assistants to interact with the Inflectra Spira platform, providing a bridge between natural language interactions and the Spira REST API.
This server supports all three editions of Spira:
SpiraTest: Test Management When You Need Quality, Agility & Speed SpiraTeam: Project, Requirements Management & ALM For Agile Teams SpiraPlan: Program Management & ALM For Scaling Agile & Enterprises
This MCP server provides integration with Inflectra Spira project management platform. It properly uses environment variables for credentials and implements appropriate authentication. The code is well-structured with reasonable error handling and permissions that match its purpose as a developer tool for project management.
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Add this to your MCP configuration file:
{
"mcpServers": {
"mcp-inflectra-spira-server": {
"args": [
"mcp-server-spira"
],
"command": "uvx"
}
}
}Once installed, try these example prompts and explore these capabilities:
From the project's GitHub README.
A Model Context Protocol (MCP) server that lets AI assistants interact with Inflectra Spira — covering project management, test management, and requirements management.
Works with SpiraTest, SpiraTeam, and SpiraPlan.
Install from PyPI:
pip install mcp-server-spira
Add to your MCP client config:
{
"mcpServers": {
"inflectra-spira": {
"command": "python",
"args": ["-m", "mcp_server_spira"],
"env": {
"INFLECTRA_SPIRA_BASE_URL": "https://myinstance.spiraservice.net",
"INFLECTRA_SPIRA_USERNAME": "mylogin",
"INFLECTRA_SPIRA_API_KEY": "{XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXX}"
}
}
}
}
For Cline, add "type": "stdio" to the server config. For Claude Desktop:
mcp install src/mcp_server_spira/server.py --name "Inflectra Spira Server"
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 — avoids passing product_id on every call |
10 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_automated_test_run | Record automated test results from CI/CD |
product_create_build | Record a CI/CD build result |
| 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:
Show me my assigned tasks in Spira
List all products in my Spira instance
Get the open incidents in product 55
Search for critical requirements across products 55 and 60
Get the field schema for incidents
MIT — see LICENSE.
Built with MCP Python SDK · Spira REST API v7.0
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