@droplinkperformance/bitbucket-mcp-server
Enables AI-powered pull request review and analysis for Bitbucket Cloud, plus tools to list, create, diff, comment on, and analyze PRs. Supports stdio or HTTP transports with OAuth/bearer auth and pluggable LLM providers.
README
@droplinkperformance/bitbucket-mcp-server
Provider-agnostic, AI-review-first Model Context Protocol (MCP) server for Bitbucket Cloud.
The primary value of this server is AI-powered code review and pull request analysis, not CRUD against the Bitbucket API. Every major dependency (SCM access, cache, token storage, rate limiting, LLM, events) is hidden behind a provider-agnostic interface so the same business logic can later target GitHub / GitLab / Azure DevOps and OpenAI / Anthropic / Gemini / Bedrock without changes to use-cases, agents, or domain contracts.
Status: Phase 1. See Roadmap.
Features (Phase 1)
- Dual transports: stdio (Cursor / Claude Desktop) and Streamable HTTP (Node
http, for remote/production). - Auto-discovered tools via a
ToolRegistry— no manual registration. - Explicit
BitbucketContext(workspace+ optionalrepository) on every tool — multi-workspace ready. - Resilient
BitbucketClient: auth injection, auto-pagination, retry/backoff, rate-limit handling, caching, secret masking. - Two auth strategies: OAuth 2.0 (Authorization Code, with rotating refresh-token persistence) and Bearer token.
- AI code review (
analyze_pull_request) backed by aCodeReviewAgentthat chunks large PRs and returns a standardReviewResult. - Pluggable LLM provider (OpenAI / Anthropic / Gemini / Bedrock), cache (memory / Redis), and token store (file / memory / Redis).
Tools
| Tool | Description |
|---|---|
get_current_user |
Authenticated user. |
list_pull_requests |
List PRs (filter by state/query). |
get_pull_request |
Fetch a PR by id. |
create_pull_request |
Open a PR. |
get_pull_request_diff |
Raw unified diff. |
get_pull_request_files |
Changed files + line stats. |
get_pull_request_comments |
PR comments. |
comment_pull_request |
Add a (optionally inline) comment. |
analyze_pull_request |
AI review returning a standard ReviewResult. |
All tool inputs accept workspace (optional if BITBUCKET_DEFAULT_WORKSPACE is set) and, where applicable, repository.
Architecture
src/
index.ts entry: chooses transport
container.ts composition root (the only place wiring concretes)
mcp/ McpServer + ToolRegistry (auto-discovery) + transports
tools/ thin MCP adapters (*.tool.ts) -> call exactly one use-case
application/ use-cases (CQRS-ish: command|query) with Input/Output DTOs
agents/ autonomous workflows implementing Agent<TInput,TOutput>
domain/ provider-agnostic types, repository contracts, ReviewResult
repositories/bitbucket/ Bitbucket implementations of the contracts
clients/bitbucket/ resilient REST client
auth/ AuthProvider (+ token/oauth) and TokenStore implementations
cache/ CacheProvider (+ memory/redis)
ratelimit/ RateLimitStrategy (+ bitbucket)
llm/ LlmProvider (+ openai/anthropic/gemini/bedrock)
events/ EventBus (+ in-memory)
services/ reusable services (masking, chunking)
telemetry/ OpenTelemetry bootstrap + metrics
infrastructure/ config, logger, http, attachments
shared/ errors, result envelope, http-status, BitbucketContext
Flow: tool -> use-case -> (agent | repository contract) -> repositories/bitbucket -> BitbucketClient. Agents may also use the LlmProvider and EventBus. Tools never contain business logic.
Requirements
- Node.js 23+
Install
Published as @droplinkperformance/bitbucket-mcp-server.
npx -y @droplinkperformance/bitbucket-mcp-server
From source:
npm install
npm run build
Release
Merges to main run .github/workflows/release.yml: tests, build, then semantic-release. Version and npm publish happen only when the merge includes Conventional Commits:
| Commit | Bump |
|---|---|
fix: |
patch |
feat: |
minor |
BREAKING CHANGE / feat!: |
major |
Other messages skip publish. The GitHub secret NPM_TOKEN (npm Automation token for the droplinkperformance org) is required.
After a successful npm release, the same workflow publishes metadata to the MCP Registry as io.github.droplinkperformance/bitbucket-mcp-server (OIDC, no extra secret). github.com/mcp syncs from that registry; if the server does not appear, email partnerships@github.com.
To stay on 0.x for the first release, tag the current commit (git tag v0.1.0 && git push origin v0.1.0) before the first conventional merge; otherwise semantic-release starts at 1.0.0.
Configuration
Copy .env.example to .env and fill in values. Load it with Node's built-in flag:
node --env-file=.env dist/index.js
Key variables:
| Variable | Default | Notes |
|---|---|---|
MCP_TRANSPORT |
stdio |
stdio or http. |
HTTP_HOST / HTTP_PORT |
0.0.0.0 / 3000 |
HTTP transport bind. |
BITBUCKET_DEFAULT_WORKSPACE |
– | Fallback when a tool omits workspace. |
BITBUCKET_ACCESS_TOKEN |
– | API token (ATATT…), app password, or OAuth access token |
BITBUCKET_EMAIL |
– | Required with API tokens (ATATT…) — your Atlassian account email |
BITBUCKET_CLIENT_ID / BITBUCKET_CLIENT_SECRET |
– | Required for OAuth (when no access token). |
BITBUCKET_REFRESH_TOKEN |
– | Optional seed for headless OAuth. |
TOKEN_STORE |
file |
file | memory | redis. |
CACHE_PROVIDER |
memory |
memory | redis. |
LLM_PROVIDER |
openai |
openai | anthropic | gemini | bedrock. |
MAX_FILES_PER_CHUNK / MAX_DIFF_LINES_PER_CHUNK |
50 / 5000 |
Large-PR chunking thresholds. |
OTEL_ENABLED |
false |
No-op metrics unless enabled. |
Authentication
Bearer (OAuth access token): set BITBUCKET_ACCESS_TOKEN only (non-ATATT tokens).
API token (recommended, ATATT…): set BITBUCKET_ACCESS_TOKEN and BITBUCKET_EMAIL (your Atlassian account email from Bitbucket → Personal settings → Email aliases). API tokens use HTTP Basic auth, not Bearer.
App password (legacy, until June 2026): set BITBUCKET_ACCESS_TOKEN and BITBUCKET_USERNAME (your Bitbucket username).
OAuth 2.0 (Authorization Code): set BITBUCKET_CLIENT_ID / BITBUCKET_CLIENT_SECRET. Tokens are persisted by the configured TOKEN_STORE; Bitbucket rotates refresh tokens, and the server persists the new one on every refresh. For headless boot, provide a previously obtained BITBUCKET_REFRESH_TOKEN.
Bitbucket OAuth endpoints used: authorize https://bitbucket.org/site/oauth2/authorize, token https://bitbucket.org/site/oauth2/access_token. The authorize URL can be built from OAuthProvider.buildAuthorizeUrl() and the returned ?code= exchanged via OAuthProvider.loginWithCode(code).
LLM provider
Set LLM_PROVIDER and the matching key:
LLM_PROVIDER=openai # OPENAI_API_KEY
LLM_PROVIDER=anthropic # ANTHROPIC_API_KEY
LLM_PROVIDER=gemini # GEMINI_API_KEY
LLM_PROVIDER=bedrock # AWS creds + BEDROCK_MODEL_ID (needs @aws-sdk/client-bedrock-runtime)
ioredis (Redis providers) and @aws-sdk/client-bedrock-runtime (Bedrock) are optional and loaded lazily — only needed when selected.
Running
stdio
MCP_TRANSPORT=stdio node --env-file=.env dist/index.js
Streamable HTTP
MCP_TRANSPORT=http HTTP_PORT=3000 node --env-file=.env dist/index.js
# health: GET http://localhost:3000/health
# endpoint: POST http://localhost:3000/mcp
MCP Inspector
npx @modelcontextprotocol/inspector node dist/index.js
Cursor
~/.cursor/mcp.json (or project .cursor/mcp.json):
{
"mcpServers": {
"bitbucket": {
"command": "npx",
"args": ["-y", "@droplinkperformance/bitbucket-mcp-server"],
"env": {
"MCP_TRANSPORT": "stdio",
"BITBUCKET_ACCESS_TOKEN": "ATATT-your-api-token",
"BITBUCKET_EMAIL": "you@company.com",
"BITBUCKET_DEFAULT_WORKSPACE": "your-workspace",
"LLM_PROVIDER": "openai",
"OPENAI_API_KEY": "sk-..."
}
}
}
}
Claude Desktop
claude_desktop_config.json:
{
"mcpServers": {
"bitbucket": {
"command": "npx",
"args": ["-y", "@droplinkperformance/bitbucket-mcp-server"],
"env": {
"BITBUCKET_ACCESS_TOKEN": "your-token",
"BITBUCKET_DEFAULT_WORKSPACE": "your-workspace",
"LLM_PROVIDER": "anthropic",
"ANTHROPIC_API_KEY": "sk-ant-..."
}
}
}
}
Development
npm run dev # tsx watch (stdio)
npm run typecheck
npm run lint
npm test
npm run test:coverage
Roadmap
- Phase 1 (this release): auth, abstractions,
BitbucketClient, tool auto-discovery, PR tools,analyze_pull_request. - Phase 2: Pipelines + full-text paginated logs,
pipeline-investigatoragent,auto_review_pull_request(dry-run / publish inline comments). - Phase 3: Remaining CRUD — repositories, commits, branches, tags, issues, workspaces, members, search.
- Phase 4:
analyze_dotnet_pull_request(dotnet-review agent), advanced agents, automation workflows. - Phase 5: Docker, Compose, Helm, production deploy guide.
License
MIT
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