devemberx/mcp-server-polarion
by Various
Polarion ALM MCP server for Claude, Cursor & Copilot — read and write documents, work items, and traceability links
MCP
devemberx/mcp-server-polarion
Added 18 June 2026
Overview
An MCP server that connects Claude, Cursor, and Copilot to Polarion ALM. It enables reading and writing documents, work items, and traceability links through the Model Context Protocol.
Best for
Best for
Developers using Polarion ALM who want to interact with it via AI coding assistants
Use cases
- Retrieve and update Polarion work items from an AI coding assistant
- Create or modify documents and traceability links in Polarion
- Integrate Polarion ALM data into AI-assisted development workflows
How to use
Install
pip install uv Tools exposed
list_projectslist_documentslist_work_itemslist_test_runsget_test_runlist_test_recordsget_test_recordget_sql_query_recipesget_html_recipesget_documentread_documentread_document_partsget_work_itemread_work_itemlist_work_item_linkslist_document_commentslist_work_item_commentslist_document_enum_optionslist_work_item_enum_optionscreate_work_items
Tested with
Claude Desktop, Claude Code, Cursor, VS Code
Notes
An MCP server that connects Claude, Cursor, and Copilot to Polarion ALM. It enables reading and writing documents, work items, and traceability links through the Model Context Protocol.
1 stars on GitHub. Last updated 2026-06-18. Licensed MIT.
Use cases
- Retrieve and update Polarion work items from an AI coding assistant
- Create or modify documents and traceability links in Polarion
- Integrate Polarion ALM data into AI-assisted development workflows
Pros
- Works with multiple AI assistants (Claude, Cursor, Copilot)
- Directly supports Polarion ALM’s core objects (documents, work items, links)
- Lightweight Python implementation
Cons
- Very early stage (only 1 star, limited community adoption)
- Requires running a local MCP server alongside the AI tool
- No documented authentication or error handling details
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Works with multiple AI assistants (Claude, Cursor, Copilot)
- Directly supports Polarion ALM's core objects (documents, work items, links)
- Lightweight Python implementation
Cons
- Very early stage (only 1 star, limited community adoption)
- Requires running a local MCP server alongside the AI tool
- No documented authentication or error handling details
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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