mcp-server-polarion
Active·★ 17·MIT·Updated 2026-10-21
mcp-server-polarion is a Model Context Protocol (MCP) server designed for Polarion ALM, enabling AI assistants to interact with Polarion instances safely and efficiently. It provides 46 tools for reading, writing, and reorganizing various Polarion entities like documents, work items, and test runs.
#Polarion#ALM#AI Assistant#Document Management#Workflow Automation#API Integration#Python#LLM Tools
01
Features
01Comprehensive Polarion Interaction: Offers 46 tools covering read and write operations across documents, work items, test runs, traceability links, comments, and attachments.
02Safe Write Operations: Every write tool supports 'dry_run' and includes pre-write guards to validate fields and enum values, ensuring data integrity before committing to Polarion.
03Rate Limit Compliance: Automatically paces requests to Polarion's rate limits and retries on errors (429/5xx), ensuring smooth operation without overwhelming the server.
04LLM-Optimized Design: Engineered specifically for LLMs with strict asynchronous capabilities, full typing, pagination on list tools, and docstrings functioning as assistant manuals.
02
Compatibility
Python 3.13+
Runtime
Verified via docs
Polarion ALM 2506+
Platform
Verified via docs
uv
Package Manager
Verified via docs
03
Quick start
1
$ claude mcp add mcp-server-polarion -e POLARION_URL=https://polarion.example.com -e POLARION_TOKEN=your-personal-access-token -- uvx mcp-server-polarion
04
Use cases
↳Automated Document & Work Item Management: Automatically create, update, and reorganize documents and work items within Polarion ALM using AI commands.
↳AI-Powered Traceability & Reporting: Leverage AI to analyze traceability links, summarize document content, and generate reports on project status or test run results.
↳Streamlined QA & Test Management: Create and update test runs and test records, record execution results, and manage attachments through AI-driven interactions.
↳Enhanced Collaboration & Workflow Automation: Automate comments, manage workflow statuses, and reorganize document structures, fostering better collaboration and efficiency.
05
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