Inflectra Spira MCP Server
Enables AI assistants to interact with Inflectra Spira for project, test, and requirements management, including artifact search, CRUD operations, and workspace configuration.
README
MCP Inflectra Spira Server
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.
Table of Contents
Quick Start
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"
Configuration
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 |
Available Tools
10 tools organized by scope. All data-retrieval tools return structured JSON with field projection, filtering, and a consistent response envelope.
Search Tools
| 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) |
Write Tools
| Tool | Description |
|---|---|
product_create_automated_test_run |
Record automated test results from CI/CD |
product_create_build |
Record a CI/CD build result |
Workspace & Configuration Tools
| 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) |
Usage Examples
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
License
MIT — see LICENSE.
Built with MCP Python SDK · Spira REST API v7.0
<!-- mcp-name: io.github.Inflectra/mcp-server-spira -->
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.