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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

#ai #alm #application-lifecycle-management #claude #copilot #cursor #fastmcp-3 #llm

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_projects
  • list_documents
  • list_work_items
  • list_test_runs
  • get_test_run
  • list_test_records
  • get_test_record
  • get_sql_query_recipes
  • get_html_recipes
  • get_document
  • read_document
  • read_document_parts
  • get_work_item
  • read_work_item
  • list_work_item_links
  • list_document_comments
  • list_work_item_comments
  • list_document_enum_options
  • list_work_item_enum_options
  • create_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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