Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
A Model Context Protocol (MCP) server enabling AI assistants to interact with Spira by Inflectra.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
INFLECTRA_SPIRA_BASE_URL, INFLECTRA_SPIRA_USERNAME, INFLECTRA_SPIRA_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"spira": {
"command": "uvx",
"args": [
"mcp-server-spira"
],
"env": {
"INFLECTRA_SPIRA_BASE_URL": "your-value",
"INFLECTRA_SPIRA_USERNAME": "your-value",
"INFLECTRA_SPIRA_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add spira --env INFLECTRA_SPIRA_BASE_URL=your-value --env INFLECTRA_SPIRA_USERNAME=your-value --env INFLECTRA_SPIRA_API_KEY=your-value -- uvx mcp-server-spiraFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"spira": {
"command": "uvx",
"args": [
"mcp-server-spira"
],
"env": {
"INFLECTRA_SPIRA_BASE_URL": "your-value",
"INFLECTRA_SPIRA_USERNAME": "your-value",
"INFLECTRA_SPIRA_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"spira": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-server-spira"
],
"env": {
"INFLECTRA_SPIRA_BASE_URL": "your-value",
"INFLECTRA_SPIRA_USERNAME": "your-value",
"INFLECTRA_SPIRA_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account Inflectra, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: INFLECTRA_SPIRA_BASE_URL, INFLECTRA_SPIRA_USERNAME, INFLECTRA_SPIRA_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.1.1) reached the registry 13 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Date Math
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Date/time math for agents: business days, holidays, time zones, cron, RRULE. 25 free calls/day.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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 |
SPIRA_CREATE_TAGS | No | Comma-separated tag string merged into Tags on every artifact the MCP creates; empty or unset disables injection |
SPIRA_UPDATE_TAGS | No | Comma-separated tag string merged into Tags on every artifact the MCP updates; empty or unset disables injection |
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:
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