An MCP server for connecting AI assistants to Bitbucket Cloud repositories. It lets assistants inspect repositories and pull requests, manage comments/tasks/reviews, and interact with pipelines and build statuses through natural language.
From the registry: MCP server for Bitbucket API - manage repositories, pull requests, comments, pipelines and more
Please install the `bitbucket-mcp-lawp09` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Bitbucket API token (scoped)** — Create a scoped Bitbucket API token at id.atlassian.com/manage-profile/security/api-tokens — global tokens without explicit scopes do not work. (https://id.atlassian.com/manage-profile/security/api-tokens)
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["--from","bitbucket-mcp-py","bitbucket-mcp"]
- required environment variables:
- `BITBUCKET_USERNAME`: Your Bitbucket email (example: `<your-email>`)
- `BITBUCKET_TOKEN`: Scoped Bitbucket API token (example: `<your-bitbucket-token>`)
- `BITBUCKET_WORKSPACE`: Your Bitbucket workspace slug (example: `<your-workspace>`)
- optional environment variables:
- `BITBUCKET_TOOLS_CONFIG`: Optional path to a custom tools.json enabling/disabling individual tools
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.BITBUCKET_USERNAMErequiredBitbucket email/username used to authenticateBITBUCKET_TOKENrequiredBitbucket API token used to authenticateBITBUCKET_WORKSPACErequiredBitbucket workspace slugBITBUCKET_TOOLS_CONFIGOptional path to a custom tools configuration JSON fileConnect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
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