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io.github.Inflectra/mcp-server-spira

A Model Context Protocol (MCP) server enabling AI assistants to interact with Spira by Inflectra.

Developer ToolsPythonv1.1.1

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):

VariableRequiredDescription
INFLECTRA_SPIRA_BASE_URLYesBase URL for your Spira instance
INFLECTRA_SPIRA_USERNAMEYesYour Spira login name
INFLECTRA_SPIRA_API_KEYYesAPI Key (RSS Token) from your Spira user profile
SPIRA_PROJECT_IDNoDefault product ID — avoids passing product_id on every call

Available Tools

13 tools organized by scope. All data-retrieval tools return structured JSON with field projection, filtering, and a consistent response envelope.

Search Tools

ToolDescription
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)

Write Tools

ToolDescription
product_create_artifactCreate artifacts (incident, task, requirement, test_case, risk, release, test_set, build, test_step, mitigation, requirement_step)
product_update_artifactUpdate existing artifacts
product_record_test_runRecord automated test results from CI/CD
create_commentAdd a comment to an artifact
create_associationLink two artifacts (related-to, depends-on, coverage)

Workspace & Configuration Tools

ToolDescription
workspace_searchList products, programs, or product templates with field projection
workspace_getGet a single product, program, or template by ID
template_get_metadataTypes, statuses, priorities, severities, custom properties, and more for a template
get_artifact_schemaField 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

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
uvx mcp-server-spira

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "io-github-inflectra-mcp-server-spira": {
      "command": "uvx",
      "args": [
        "mcp-server-spira"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

mcp-server-spirapypi

Compatible MCP Clients

io.github.Inflectra/mcp-server-spira works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

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