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Provider-agnostic, AI-review-first MCP server for Bitbucket Cloud.
About
Provider-agnostic, AI-review-first MCP server for Bitbucket Cloud.
Security Report
Well-architected MCP server with strong separation of concerns, proper authentication handling, and appropriate permission scoping. Code quality is high with good error handling and masking of sensitive data. Minor findings around input validation and logging practices do not significantly impact security posture. Supply chain analysis found 11 known vulnerabilities in dependencies (2 critical, 1 high severity). Package verification found 1 issue.
7 files analyzed · 17 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: BITBUCKET_ACCESS_TOKEN
Environment variable: BITBUCKET_EMAIL
Environment variable: BITBUCKET_DEFAULT_WORKSPACE
Environment variable: LLM_PROVIDER
Environment variable: OPENAI_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-droplinkperformance-bitbucket-mcp-server": {
"env": {
"LLM_PROVIDER": "your-llm-provider-here",
"OPENAI_API_KEY": "your-openai-api-key-here",
"BITBUCKET_EMAIL": "your-bitbucket-email-here",
"BITBUCKET_ACCESS_TOKEN": "your-bitbucket-access-token-here",
"BITBUCKET_DEFAULT_WORKSPACE": "your-bitbucket-default-workspace-here"
},
"args": [
"-y",
"@droplinkperformance/bitbucket-mcp-server"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub 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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