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3KniGHtcZ/codebeamer-mcp

by Various

3KniGHtcZ/codebeamer-mcp — indexed from awesome-mcp-servers-punkpeye

3

MCP

3KniGHtcZ/codebeamer-mcp

Added 1 June 2026

Overview

A Model Context Protocol server that connects AI assistants to codeBeamer ALM (Application Lifecycle Management) data. It exposes codeBeamer items, requirements, and test cases through a standardized MCP interface for querying and retrieval.

Best for

Best for
Developers and QA engineers using codeBeamer who want AI-assisted access to their ALM data

Use cases

  • Retrieve requirements and specifications from codeBeamer during development
  • Query test cases and their statuses for quality assurance workflows
  • Access codeBeamer item details and relationships via natural language prompts

How to use

Install

npx @modelcontextprotocol/inspector node dist/index.js

Tools exposed

  • list_projects
  • get_project
  • list_trackers
  • get_tracker
  • list_tracker_items
  • search_items
  • get_item
  • get_item_details
  • get_item_relations
  • get_item_references
  • get_item_comments
  • get_item_reviews
  • get_user
  • create_item
  • update_item
  • add_comment
  • create_association
  • create_reference
  • create_harm
  • CB_URL

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, VS Code

Notes

A Model Context Protocol server that connects AI assistants to codeBeamer ALM (Application Lifecycle Management) data. It exposes codeBeamer items, requirements, and test cases through a standardized MCP interface for querying and retrieval.

6 stars on GitHub. Last updated 2026-05-28. Licensed MIT.

Use cases

  • Retrieve requirements and specifications from codeBeamer during development
  • Query test cases and their statuses for quality assurance workflows
  • Access codeBeamer item details and relationships via natural language prompts

Pros

  • Enables direct AI access to ALM data without manual lookups
  • Written in TypeScript for type safety and broad compatibility
  • Lightweight integration with existing MCP-based tools

Cons

  • Very small community with only 6 stars and limited adoption
  • Requires a running codeBeamer instance and proper authentication setup
  • No active maintenance or documentation beyond the repository

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Enables direct AI access to ALM data without manual lookups
  • Written in TypeScript for type safety and broad compatibility
  • Lightweight integration with existing MCP-based tools

Cons

  • Very small community with only 6 stars and limited adoption
  • Requires a running codeBeamer instance and proper authentication setup
  • No active maintenance or documentation beyond the repository
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