PolarionMcp
Offers a REST API for OpenAI GPT Actions to interact with Polarion, enabling querying and managing Polarion entities via HTTP.
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., "@PolarionMcpsearch for open defects in myproject"
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.
mcp-polarion
A CLI-first Polarion ALM client with MCP server support for AI assistants (Cline, Claude Code, Copilot Studio) and a REST API for OpenAI GPT Actions and other HTTP consumers.
Installation
git clone https://github.com/mmerah/PolarionMcp.git
cd PolarionMcp
python -m venv .venv && source .venv/bin/activate
pip install -e .Create a .env file:
POLARION_URL=https://your-polarion-instance.com/polarion
POLARION_USER=your-username
POLARION_TOKEN=your-personal-access-tokenCLI Usage
# Connection
mcp-polarion health
# Projects
mcp-polarion projects # list all configured aliases
mcp-polarion project -p myproject # name & description
mcp-polarion project-types -p myproject # configured work item types + fields
mcp-polarion named-queries -p myproject # named queries defined in config
mcp-polarion discover-types -p myproject # sample the project to find types
mcp-polarion discover-types -p myproject --limit 500
# Work items
mcp-polarion get ADC-1234 # project inferred from ID prefix
mcp-polarion get ADC-1234 -p myproject
mcp-polarion search "type:defect AND status:open" -p myproject
mcp-polarion search "query:open_bugs" -p myproject # named query
mcp-polarion search "type:defect" -p myproject --fields "id,title,status"
# Tests & documents
mcp-polarion test-runs -p myproject
mcp-polarion test-run TR-42 -p myproject
mcp-polarion documents -p myproject
mcp-polarion test-specs QA/TestSpecs -p myproject
# Plans (plan projects only)
mcp-polarion plans -p releases
mcp-polarion plan R2024.4 -p releases
mcp-polarion plan-workitems R2024.4 -p releases
mcp-polarion search-plans "templateId:release" -p releases
# Servers
mcp-polarion serve # HTTP works for all clients
mcp-polarion serve --mode stdio # stdio transport for local .mcp.json
mcp-polarion serve --port 9000 --log-level DEBUG
# Utilities. Output goes to generated/
mcp-polarion docgen # generated/agent_instructions*.md
mcp-polarion generate-openapi # generated/openapi.yaml
mcp-polarion import-custom-fields --path local/custom-fields/myprojectThe convenience script run_server.sh handles first-time venv setup and .env checks before calling mcp-polarion serve.
Configuration
The optional local config unlocks project aliases, named queries, custom field mappings, and plan project support. The tracked example lives in local/. Copy it to get started:
cp local/polarion_config.example.yaml local/polarion_config.yamlprojects:
myproject: # alias (use this everywhere)
id: ACTUAL_PROJECT_ID # real Polarion project ID
work_item_types:
- systemRequirement
- defect
custom_fields:
defect: [severity, foundIn]
systemRequirement: [acceptanceCriteria, riskRelevance]
default_queries:
open_bugs: "type:defect AND status:open"
my_items: "assignee.id:$current_user"
releases:
id: RELEASES_PROJECT
is_plan: true # enables plan-specific tools
display_fields: [id, title, type, status, assignee]After editing the config, regenerate the agent instructions and OpenAPI spec:
mcp-polarion docgen # generated/agent_instructions*.md
mcp-polarion generate-openapi # generated/openapi.yamlFor custom field imports, keep downloaded XML exports local and untracked:
local/custom-fields/<project-alias>/
requirement-custom-fields.xml
defect-custom-fields.xmlUsually, those custom-fields.yml are located in a Polarion project administration content. They can be downloaded from there. Then import them with:
mcp-polarion import-custom-fields --path local/custom-fields/myprojectSee docs/XML_PARSER.md for the full import workflow.
Available Tools
See docs/WORKFLOW_EXAMPLES.md for tool usage patterns.
General
Tool | Description |
| Check Polarion connectivity |
| Project name and description |
| All configured project aliases |
| Configured work item types for a project |
| Named queries defined for a project |
| Sample a project to find its work item types |
Work Items (regular projects)
Tool | Description |
| Full details for one or more work items, including custom fields and test steps |
| Lucene query search; accepts named queries ( |
Test & Documents
Tool | Description |
| List all test runs |
| Details of one test run |
| List documents in a project, with optional |
| Export a document PDF to |
| Extract test spec IDs from a document |
Plans (plan projects only)
Tool | Description |
| List all plans (releases, iterations) |
| Details of one plan |
| Work items in a plan |
| Lucene search across plans |
Inputs: project_alias accepts both aliases (myproject) and real IDs (ACTUAL_PROJECT_ID).
Outputs: Human-readable strings. Errors start with ❌.
MCP Server Integration
A single mcp-polarion serve command serves all HTTP clients. The server uses stateless requests (one session per POST) and JSON responses, which enables parallel tool calls and works equally well with Cline, Claude Code, Copilot Studio, and GPT Actions (via the REST API).
Cline / Claude Code (HTTP)
mcp-polarion serve # http://0.0.0.0:8000/mcpAdd to Cline's MCP settings:
{
"mcpServers": {
"polarion": { "url": "http://localhost:8000/mcp" }
}
}Claude Code / .mcp.json (stdio)
{
"mcpServers": {
"polarion": {
"command": "mcp-polarion",
"args": ["serve", "--mode", "stdio"]
}
}
}Microsoft Copilot Studio
mcp-polarion serveExpose over HTTPS (e.g. Azure Dev Tunnel), then follow the MCP onboarding wizard: Add a tool → New tool → Model Context Protocol. Use https://<your-host>/mcp as the server URL.
REST API / GPT Actions (OpenAI)
mcp-polarion serveREST endpoints are available at /actions/ alongside the MCP endpoint. Generate the OpenAPI spec and agent instructions first:
mcp-polarion generate-openapi # generated/openapi.yaml
mcp-polarion docgen # generated/agent_instructions*.mdThe running server also serves the spec at /openapi.json and /openapi.yaml.
curl http://localhost:8000/actions/projects
curl http://localhost:8000/openapi.json | jq '.paths | keys'Use generated/agent_instructions.md as a knowledge file and generated/agent_instructions_simple.md as the system prompt for your custom GPT.
Project Structure
polarion_mcp/
core/ Polarion domain logic: client, config, settings, formatters
config/ Config discovery and XML import utilities
mcp/ MCP layer: tool definitions, middleware, server, stdio
rest_api/ REST API routes and OpenAPI spec generation
docgen/ Agent instruction doc generator
cli/ CLI entry point (mcp-polarion)
docs/ Supporting guides and workflow references
local/ Workspace-local config and XML exports
generated/ Generated files (openapi.yaml, agent_instructions)
tests/
run_server.sh First-time bootstrapper (venv + deps + serve)Shell Completion
Basic tab completion for subcommands and flags is available via argcomplete. After reinstalling the package, enable it in your shell:
pip install -e .
eval "$(register-python-argcomplete mcp-polarion)"For bash, add that line to ~/.bashrc. For zsh, enable bash completion compatibility first, then register the same command.
Development
pytest
black polarion_mcp tests
isort polarion_mcp tests
mypy polarion_mcpLicense
MIT. See LICENSE.
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