mcpField
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bitbucket-mcp-server

bitbucket-mcp-server

Local
github.com/droplinkperformanceVersion Control0Updated 3w ago

About bitbucket-mcp-server

bitbucket-mcp-server is an MCP server for Bitbucket Cloud, aimed at teams that want AI-assisted pull request review alongside common PR operations. Its provider-agnostic interfaces separate review and business logic from SCM, LLM, cache, and token-storage implementations.

Key features

  1. 01AI pull request analysis
  2. 02Pull request listing and retrieval
  3. 03Create and edit pull requests
  4. 04Diff, file, and comment access
  5. 05OAuth 2.0 and bearer authentication
  6. 06stdio and Streamable HTTP transports

Use cases

  1. 01Analyze a Bitbucket pull request
  2. 02Inspect changed files and diffs
  3. 03Create or update a pull request
  4. 04Add comments to a pull request

MCP support

Exposes Bitbucket Cloud pull request operations and AI review as MCP tools. It supports stdio and Streamable HTTP, with tool discovery handled by a registry.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"droplinkperformance-bitbucket": {
"command": "npx",
"args": [
"-y",
"@droplinkperformance/bitbucket-mcp-server"
],
"env": {
"BITBUCKET_ACCESS_TOKEN": "<BITBUCKET_ACCESS_TOKEN>",
"BITBUCKET_EMAIL": "<BITBUCKET_EMAIL>",
"BITBUCKET_DEFAULT_WORKSPACE": "<BITBUCKET_DEFAULT_WORKSPACE>",
"LLM_PROVIDER": "<LLM_PROVIDER>",
"OPENAI_API_KEY": "<OPENAI_API_KEY>"
}
}
}
}
Run commandnpx -y @droplinkperformance/bitbucket-mcp-server
Environment variables to set
BITBUCKET_ACCESS_TOKENSecretBitbucket API token (ATATT), app password, or OAuth access token
BITBUCKET_EMAILAtlassian account email (required with API tokens)
BITBUCKET_DEFAULT_WORKSPACEDefault Bitbucket workspace when a tool omits workspace
LLM_PROVIDERLLM backend for analyze_pull_request (openai, anthropic, gemini, bedrock)
OPENAI_API_KEYSecretOpenAI API key when LLM_PROVIDER is openai

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@droplinkperformance/bitbucket-mcp-server1.2.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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 + optional repository) 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 a CodeReviewAgent that chunks large PRs and returns a standard ReviewResult.
  • Pluggable LLM provider (OpenAI / Anthropic / Gemini / Bedrock), cache (memory / Redis), and token store (file / memory / Redis).
Tools
ToolDescription
get_current_userAuthenticated user.
list_pull_requestsList PRs (filter by state/query).
get_pull_requestFetch a PR by id.
create_pull_requestOpen a PR.
update_pull_requestEdit an open PR title and/or description.
get_pull_request_diffRaw unified diff.
get_pull_request_filesChanged files + line stats.
get_pull_request_commentsPR comments.
comment_pull_requestAdd a (optionally inline) comment.
analyze_pull_requestAI 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:

CommitBump
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 waits until that version is visible on the npm registry, then publishes metadata to the MCP Registry as io.github.droplinkperformance/bitbucket-mcp-server (OIDC, no extra secret). To republish MCP metadata for the current package.json version without cutting a new release, run the workflow manually with Publish mcp only. github.com/mcp syncs from that registry; if the server does not appear, email [email protected].

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:

VariableDefaultNotes
MCP_TRANSPORTstdiostdio or http.
HTTP_HOST / HTTP_PORT0.0.0.0 / 3000HTTP 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_STOREfilefile | memory | redis.
CACHE_PROVIDERmemorymemory | redis.
LLM_PROVIDERopenaiopenai | anthropic | gemini | bedrock.
MAX_FILES_PER_CHUNK / MAX_DIFF_LINES_PER_CHUNK50 / 5000Large-PR chunking thresholds.
OTEL_ENABLEDfalseNo-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": "[email protected]",
        "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-investigator agent, 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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