"Bitbucket" matching MCP servers:

Enables LLMs to review Bitbucket pull requests with custom checklists and API token authentication.

Connects Claude Desktop and Claude Code to Bitbucket Cloud, enabling searching PRs, commits, diffs, and file content for AI-assisted bug triage and impact analysis.

Enables MCP-compatible clients to read repositories and source code from Bitbucket. Provides tools for listing workspaces and repositories, browsing directories, reading files, searching code, and inspecting commits and pull requests.

Enables interaction with Bitbucket repositories through the Model Context Protocol, supporting code search, repository management, branch creation, pull requests, and more.

Enables AI assistants to read Bitbucket Cloud pull requests and diffs through natural conversation.

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.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests through MCP tools for listing, fetching, searching, commenting, reviewing diffs, and managing repository workflows such as cloning and PR operations.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

Free deterministic security scan of a public git repository (GitHub, GitLab, Codeberg, Bitbucket): vulnerable dependencies via OSV.dev, secret patterns, and config lint, returned as structured JSON. Tools: scan_repository(url), audit_pricing(). Runs locally over stdio (python3 web/mcp_stdio.py or the Dockerfile) and is also hosted at https://project-feldspar.com/mcp. MIT licence, stdlib-only. Buil

Automatically analyzes Git diffs and Bitbucket PR data to generate compact JSON payloads for AI-powered PR description generation, reducing token consumption.

Hosted MCP server that enables AI code reviews on GitHub, GitLab, Azure DevOps, and Bitbucket PR/MR URLs via a single tool (review_url_code), integrating with Cursor, Claude Code, Claude Desktop, and GitHub Copilot through OAuth or Bearer token authentication.

Enables coding agents to find code by what it does rather than what it's called, searching local projects and remote GitHub or Bitbucket repositories all at once. Indexing and semantic search run fully offline with a locally loaded model, so code never leaves the machine.

Secure multi-source MCP server for reading local, GitHub, GitLab, Bitbucket, and network source code with read-only-by-default access, enabling AI assistants to inspect repositories safely.

Analyzes API codebases from GitHub and Bitbucket repositories to generate Postman collections, business reports, and detailed code insights. Supports multiple frameworks including FastAPI, Spring Boot, Flask, Express, and OpenAPI/Swagger specifications.

Enables automated AI-powered code review for pull requests across GitHub, GitLab, Bitbucket, and Azure DevOps via webhooks, and manual code review through MCP tools using Groq, Claude, or GPT-4.

An MCP server that automates pull request reviews using multiple LLM providers (OpenAI, Claude, Gemini, Groq, Perplexity) and supports GitHub and Bitbucket with real-time webhook integration and interactive AI assistant commands.

Enables AI agents to read and search code across many git repositories — files at any branch, tag or commit, history, diffs, blame and cross-repo search — over local paths or remote hosts like GitHub, GitLab and Bitbucket. It is read-only by construction, hiding secrets found in files and working with any MCP client over stdio or Streamable HTTP.