bbkt
A Bitbucket CLI and MCP server written in Go for managing workspaces, repositories, pull requests, pipelines, issues, and source code. Supports stdio and HTTP transport.
README
bbkt (Bitbucket CLI & MCP Server)
A complete command-line interface and Model Context Protocol (MCP) server written in Go that provides programmatic integration with Bitbucket workspaces and repositories.
<p align="center"> <img src="demo.gif" alt="bbkt CLI demo" width="700" /> </p>
Features
- Dual Mode: Run as a rich, interactive CLI tool for daily developer tasks, or as an MCP server for AI agents.
- Git Awareness: Automatically detects your current Bitbucket repository from
.git/configwhen run from the terminal. - Interactive UI: Sleek terminal UI wizards trigger automatically when required arguments are omitted.
- Read/Write Operations: Seamlessly manage repositories, workspaces, pipelines, issues, and pull requests. Modify or delete repository source code directly from the API.
- Authentication: Supports standard App Passwords or an interactive OAuth 2.0 web flow for desktop users.
Installation
From Source
# Clone the repository
git clone https://github.com/zach-snell/bbkt.git
cd bbkt
# Run the install script (builds and moves to ~/.local/bin)
./install.sh
Ensure ~/.local/bin is added to your system $PATH for the executable to be universally available.
From GitHub Releases
Download the appropriate binary for your system (Linux, macOS, Windows) from the Releases page.
CLI Usage
bbkt provides a robust command-line interface with the following core modules:
# Manage workspaces
bbkt workspaces [list, get]
# Manage repositories
bbkt repos [list, get, create, delete]
# Manage pull requests and comments
bbkt prs [list, get, create, merge, approve, decline]
bbkt prs comments [list, add, resolve]
# Trigger and view pipelines
bbkt pipelines [list, get, trigger, stop, logs]
# Issue tracking
bbkt issues [list, get, create, update]
# Read, search, and edit source code
bbkt source [read, tree, search, history, write, delete]
MCP Usage
The tool also serves as an MCP server. It supports two protocols: Stdio (default via bbkt mcp) and the official Streamable Transport API over HTTP.
Stdio Transport (Default)
If you intend to use this with an MCP client (such as Claude Desktop or Cursor), add it to your client's configuration file as a local command:
{
"mcpServers": {
"bitbucket": {
"command": "/absolute/path/to/bbkt",
"args": ["mcp"],
"env": {
"BITBUCKET_USERNAME": "your-username",
"BITBUCKET_API_TOKEN": "your-api-token"
}
}
}
}
Streamable Transport (HTTP)
You can run the server as a long-lived HTTP process serving the Streamable Transport API (which uses Server-Sent Events underneath). This is useful for remote network clients.
bbkt mcp --port 8080
Environment Variables
| Variable | Description | Required |
|---|---|---|
BITBUCKET_USERNAME |
Your Bitbucket username | No (but recommended for API Tokens) |
BITBUCKET_API_TOKEN |
An Atlassian API Token | No (If omitted, triggers OAuth 2.0 browser flow) |
BITBUCKET_CLIENT_ID |
OAuth 2.0 Client ID | Only if using OAuth |
BITBUCKET_CLIENT_SECRET |
OAuth 2.0 Client Secret | Only if using OAuth |
API Token Scopes & Security
read:workspace, read:account, read:user, read:repository:bitbucket, write:repository:bitbucket, read:pullrequest:bitbucket, write:pullrequest:bitbucket, read:pipeline:bitbucket, write:pipeline:bitbucket
Token Introspection: The bbkt mcp server dynamically evaluates your API token's granted scopes at startup. If you omit specific permissions (like write:pipeline:bitbucket), the server will completely hide the associated MCP tools (trigger_pipeline, stop_pipeline) from the AI agent to prevent hallucinated successes.
Explicit Tool Denial: Even if your token has full admin privileges, you can explicitly deny the AI agent access to any tool using the BITBUCKET_DISABLED_TOOLS environment variable.
export BITBUCKET_DISABLED_TOOLS="delete_repository,delete_branch,delete_file"
Tools Provided
manage_workspaces: Getting and listing Bitbucket workspacesmanage_repositories: Listing, getting, creating, and deleting repositoriesmanage_refs: Listing, creating, and deleting branches and tagsmanage_commits: Listing and getting commits, diffs, and diffstatsmanage_source: Source code operations (read, list_directory, get_history, search, write, delete)manage_pull_requests: All pull request operations (list, get, create, update, merge, approve, unapprove, decline, diff, diffstat, commits)manage_pr_comments: Managing pull request comments (list, create, update, delete, resolve, unresolve)manage_pipelines: Managing Bitbucket Pipelines (list, get, trigger, stop, list-steps, get-step-log)manage_issues: Managing repository issues (list, get, create, update)
Development
Requirements:
- Go 1.25+
# Run tests
go test ./...
# Run the linter
golangci-lint run ./...
License
This project is licensed under the Apache 2.0 License.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.