3KniGHtcZ/codebeamer-mcp
by Various
3KniGHtcZ/codebeamer-mcp — indexed from awesome-mcp-servers-punkpeye
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_projectsget_projectlist_trackersget_trackerlist_tracker_itemssearch_itemsget_itemget_item_detailsget_item_relationsget_item_referencesget_item_commentsget_item_reviewsget_usercreate_itemupdate_itemadd_commentcreate_associationcreate_referencecreate_harmCB_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
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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