bitbucket-mcp
MCP server for Bitbucket Cloud that enables reviewing, managing, and merging pull requests, assigning reviewers by name, reading files at a ref, and inspecting pipeline status from any MCP client.
README
bitbucket-mcp
A Model Context Protocol server for Bitbucket Cloud. Review, manage, and merge pull requests, assign reviewers by name, read files at a ref, and inspect pipeline status — from any MCP client (Claude Desktop, Cursor, Claude Code) or a hosted HTTP endpoint.
It talks to the Bitbucket Cloud REST API v2.0 with a single access token. All read paths are paginated and capped; write tools (create/merge PR, comments, reviewers) are explicit.
Tools
All tools are prefixed bb_.
| Tool | What it does |
|---|---|
bb_list_pull_requests |
List PRs in a repo, filtered by state |
bb_get_pull_request |
Full detail for one PR |
bb_get_pull_request_diff |
Unified diff for a PR |
bb_get_pull_request_comments |
All comments on a PR (inline + general) |
bb_get_pull_request_status |
Aggregated build/status checks for a PR |
bb_get_pipeline_status |
Commit statuses for an arbitrary ref |
bb_create_pull_request |
Open a PR (optionally with reviewers) |
bb_merge_pull_request |
Merge a PR (merge_commit / squash / fast_forward) |
bb_create_pull_request_comment |
Add a comment (optionally inline on a file/line) |
bb_edit_pull_request_comment |
Edit one of your comments |
bb_delete_pull_request_comment |
Delete one of your comments |
bb_add_pull_request_reviewers |
Assign reviewers by name or UUID |
bb_list_workspace_members |
Inspect the local known-members directory |
bb_get_file |
Read a file's contents at a branch/commit |
Assigning reviewers by name
Bitbucket's /workspaces/{workspace}/members endpoint requires the account
scope (which PR tokens don't carry), so you can't resolve a person's name to
their account UUID over the API. This server keeps a small local directory
of known members so bb_add_pull_request_reviewers accepts a plain name (e.g.
"Jane Doe") and resolves it offline. Raw account UUIDs always work too.
Seed people in either place (both use the same JSON shape; the env var merges on top of the file):
tools/bitbucket/directory.json— copydirectory.example.jsonand fill it in. This file is git-ignored so real account UUIDs never get committed.BITBUCKET_KNOWN_MEMBERSenv var — handy for hosted deploys.
{
"your-workspace-slug": [
{ "uuid": "{00000000-0000-0000-0000-000000000000}", "display_name": "Jane Doe", "nickname": "Jane" }
]
}
Configuration
Set via environment variables (see .env.example). Prefix BITBUCKET_.
| Variable | Required | Description |
|---|---|---|
BITBUCKET_API_KEY |
✅ | Access token (Bearer) or app password |
BITBUCKET_USERNAME |
— | Set only when using an app password (switches to Basic auth) |
BITBUCKET_WORKSPACE |
— | Default workspace slug, so tools don't need it each call |
BITBUCKET_DEFAULT_REPO |
— | Default repo slug |
BITBUCKET_KNOWN_MEMBERS |
— | JSON of extra known members (merged over directory.json) |
BITBUCKET_MAX_PAGES |
— | Pagination cap (default 10) |
BITBUCKET_TIMEOUT |
— | HTTP timeout in seconds (default 30) |
Tools are always listed but return a clear "not configured" error if
BITBUCKET_API_KEY is missing, so the server starts cleanly without secrets.
Quick start (local, stdio)
Requires Python 3.11+.
git clone https://github.com/matt-nann/bitbucket-mcp.git
cd bitbucket-mcp
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
export BITBUCKET_API_KEY=your-token
python server.py # stdio (default)
Wire it into an MCP client
Claude Desktop (claude_desktop_config.json) / Cursor (~/.cursor/mcp.json):
{
"mcpServers": {
"bitbucket": {
"command": "python",
"args": ["/absolute/path/to/bitbucket-mcp/server.py"],
"env": {
"BITBUCKET_API_KEY": "your-token",
"BITBUCKET_WORKSPACE": "your-workspace-slug"
}
}
}
}
Claude Code:
claude mcp add bitbucket \
--env BITBUCKET_API_KEY=your-token \
--env BITBUCKET_WORKSPACE=your-workspace-slug \
-- python /absolute/path/to/bitbucket-mcp/server.py
Hosting (HTTP)
The same server runs over streamable HTTP for a shared/hosted deployment. It
binds dual-stack IPv6 and honors $PORT, so it works on Railway (and
Fly/Heroku/Docker) out of the box:
MCP_TRANSPORT=http PORT=8000 python server.py --http
# MCP endpoint: http://localhost:8000/mcp health: /health
⚠️ HTTP mode has no built-in authentication and every request uses the one
BITBUCKET_API_KEY identity. Don't expose it publicly without an auth proxy in
front. See HOSTING.md for the full Railway walkthrough,
Docker instructions, and the security model.
Provenance
Extracted from a larger internal multi-tool MCP server into a standalone, self-contained package. No internal identifiers or shared auth layers are included; the member directory ships only as a placeholder example.
License
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