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bitbucket-server-mcp

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      Enables AI agents to interact with Bitbucket Server (Data Center) via MCP, supporting reading pull requests and diffs, drafting and submitting reviews with verdicts, posting tasks, browsing code and commits, and managing pull requests.
      -
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      Enables management of Bitbucket Cloud pull requests through natural language, including creating, reviewing, approving, and commenting on PRs with automatic default reviewer support.
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    • A
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      Enables LLMs to interact with Bitbucket repositories to manage pull requests, branches, and commits through the Model Context Protocol. It supports repository operations such as searching code, accessing file contents, and comparing branches using natural language.
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    TDQS

    A3.5/5.0

    Scored across 59 tools

    Disambiguation4/5

    Most tools have distinct purposes, but with 59 tools, some overlap may occur (e.g., multiple 'manage' tools for different resources). However, naming and descriptions help differentiate.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern (e.g., list_branches, create_pull_request, manage_webhooks) with no mixing of conventions.

    Tool Count2/5

    59 tools is excessive for a typical server. While the scope covers many Bitbucket features, many tools are narrow (e.g., manage_gpg_keys, list_ssh_keys) and could be consolidated, leading to a heavy surface.

    Completeness4/5

    The tool set covers a wide range of Bitbucket Server operations including browsing, commits, PRs, branches, tags, hooks, keys, and more. Minor gaps exist (e.g., no tool for creating projects directly), but overall coverage is strong.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues