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A platform for code hosting and collaboration

  • Why this server?

    This MCP server allows AI assistants to interact with Bitbucket repositories, pull requests, and code, enabling code understanding and management through AI.

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    An integration tool that enables AI assistants like Claude to directly access and interact with Bitbucket repositories, pull requests, and code without requiring copy/paste operations.
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    317
    8
    TypeScript
    • Apple
    • Linux
  • Why this server?

    While primarily focused on Contentful, it's possible some workflows could involve connecting to Bitbucket for content versioning or deployment automation.

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    Update, create, delete content, content-models and assets in your Contentful Space
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    130
    17
    TypeScript
    MIT License
    • Apple
  • Why this server?

    This MCP server provides code merging and analysis capabilities, which might be relevant when working with code from Bitbucket repositories.

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    A Model Context Protocol server that helps large language models process code repositories by providing file tree generation, code merging, and code analysis capabilities.
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    6
    JavaScript
    MIT License
  • Why this server?

    Provides a tool to process documentation, which could be helpful when working with code hosted on Bitbucket.

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    A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
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    74
    JavaScript
    Apache 2.0
    • Apple
  • Why this server?

    Allows AI to chat with code or documentation, which is helpful when working with code stored on Bitbucket.

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    A flexible Model Context Protocol server that makes documentation or codebases searchable by AI assistants, allowing users to chat with code or docs by simply pointing to a git repository or folder.
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    JavaScript
  • Why this server?

    While not directly related to Bitbucket, it offers features to submit and validate constraint models as well as manage parameters to work with data in external repositories.

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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    Python
    MIT License
    • Apple
  • Why this server?

    Allows sharing of code context, which can be useful for providing relevant snippets from Bitbucket repositories to an LLM.

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    Share code context with LLMs via MCP or clipboard
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    181
    Python
    Apache 2.0
    • Apple
    • Linux
  • Why this server?

    Enables comprehensive GitHub operations through natural language, which can be useful if you use GitHub in addition to Bitbucket.

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    Enables comprehensive GitHub operations through natural language including file management, repository administration, issue tracking, and advanced code searching.
    36,796
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    TypeScript
  • Why this server?

    Enables AI models to access GitHub repository contents, which may be relevant if you also use GitHub.

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    Enables AI models to access GitHub repository contents as context, with features to fetch entire repositories, specific file contents, and repository structures for use in AI interactions.
    JavaScript
    • Linux
    • Apple
  • Why this server?

    Enables interaction with GitHub repositories, which could be relevant if you use both GitHub Enterprise and Bitbucket.

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    Enables interaction with GitHub repositories through the GitHub API, allowing file operations, repository management, issue tracking, and code search through natural language commands.
    2
    TypeScript
    MIT License
    • Apple
    • Linux