Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Inflectra Spira MCP Server Show me my assigned tasks in Spira"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Related MCP server: TestRail MCP Server
Install from PyPI:
pip install mcp-server-spiraAdd 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 |
| Yes | Base URL for your Spira instance |
| Yes | Your Spira login name |
| Yes | API Key (RSS Token) from your Spira user profile |
| No | Default product ID — avoids passing |
13 tools organized by scope. All data-retrieval tools return structured JSON with field projection, filtering, and a consistent response envelope.
Tool | Description |
| Your assigned items (task, incident, requirement, test_case, test_set) with filtering and field projection |
| Search artifacts in a product (11 types). Supports cross-product fan-out, server-side filtering, and nested sub-artifact includes. |
| Single artifact by ID with full details and optional sub-artifact includes |
| Search program-level artifacts (capability, milestone) |
Tool | Description |
| Create artifacts (incident, task, requirement, test_case, risk, release, test_set, build, test_step, mitigation, requirement_step) |
| Update existing artifacts |
| Record automated test results from CI/CD |
| Add a comment to an artifact |
| Link two artifacts (related-to, depends-on, coverage) |
Tool | Description |
| List products, programs, or product templates with field projection |
| Get a single product, program, or template by ID |
| Types, statuses, priorities, severities, custom properties, and more for a template |
| Field schema for any artifact type (local-only, no API call) |
Try these prompts with your AI assistant:
Show me my assigned tasks in SpiraList all products in my Spira instanceGet the open incidents in product 55Search for critical requirements across products 55 and 60Get the field schema for incidentsMIT — see LICENSE.
Built with MCP Python SDK · Spira REST API v7.0
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Connect to Atlassian Jira, Confluence, and Compass to search, create, and manage your work.
Connect AI assistants to Stellary projects, boards, documents, and governed agent workflows.
Connect AI assistants to ITM Platform projects, tasks, budgets, risks, and team workload.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Inflectra/mcp-server-spira'
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