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MCP Bitbucket Python

by Kallows
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    • mcp-bitbucket

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 10 tools

    Disambiguation5/5

    Every tool has a clearly distinct purpose targeting specific Bitbucket resources and actions, with no overlap or ambiguity. For example, bb_create_branch, bb_create_issue, and bb_create_pull_request each handle different creation operations, while bb_read_file and bb_write_file are distinct file operations.

    Naming Consistency5/5

    All tools follow a consistent 'bb_verb_noun' pattern throughout, using snake_case and starting with 'bb_' as a prefix. This predictable naming convention makes it easy to understand each tool's function at a glance, with no deviations or mixed styles.

    Tool Count5/5

    With 10 tools, the server is well-scoped for Bitbucket operations, covering repository, branch, issue, pull request, and file management. Each tool earns its place by addressing a core functionality without being overly broad or sparse, fitting typical server tool counts of 3-15.

    Completeness4/5

    The tool set provides strong CRUD/lifecycle coverage for Bitbucket's key resources, including create/delete for repositories, issues, and files, and create for branches and pull requests. A minor gap exists in update operations (e.g., updating issues or pull requests), but agents can work around this with create/delete or other methods.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources