A
licenseNot graded
qualityB
maintenanceEnables AI assistants to interact with Bitbucket Cloud repositories, allowing users to manage pull requests, comments, tasks, and branches through natural language commands.
4,764 npm
1
MIT
bitbucket-mcp
by lawp09
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TDQS
A3.6/5.0
Scored across 74 tools
Disambiguation4/5
Most tools target distinct resources and actions, with detailed descriptions that clarify their purpose. A few near-duplicates exist (e.g., get_pull_request_comments vs get_pull_request_activity, get_commit_statuses vs get_pull_request_statuses), but the descriptions draw clear boundaries.
Naming Consistency4/5
The dominant pattern is verb_noun (get_, list_, create_, update_, delete_, add_) with very few exceptions. Some inconsistency exists between get_ and list_ for similar resources (e.g., get_repository vs list_repositories), and a few oddball names like submit_pull_request_batch_review and suggest_pull_request_reviewers stand out, but overall the convention is predictable.
Tool Count2/5
74 tools is far above a typical well-scoped server. While Bitbucket is a large platform, this volume makes the tool surface unwieldy and increases the chance of agent misselection. The count feels overwhelming rather than curated.
Completeness3/5
The domain coverage is broad: repositories, PRs, issues, pipelines, deployments, branch restrictions, workspace members, and file browsing. However, several resources have only partial CRUD (e.g., branch restrictions are list/get only, pipeline variables and schedules lack create/update/delete), leaving notable gaps for an otherwise comprehensive server.
Maintenance
ActivityMaintained
ResponsivenessUnresponsive