"Deutsche Post" matching MCP servers:

MCP server for code review of Bitbucket Cloud pull requests: list PRs, read diffs, file contents and comments, and post review comments.

Enables Microsoft Copilot Desktop and Microsoft 365 Copilot Studio to post/read Slack messages, query GitHub repository status, and monitor live pod health and fleet runtime briefs.

Lets MCP clients such as Claude or ChatGPT find the pull requests waiting on your review, read their details and changed files, check CI status, post comments, and submit approve, request-changes, or comment reviews. It runs locally over stdio with a personal token or as a remote server with its own OAuth 2.1 authorization server (PKCE, dynamic client registration, per-client consent, and refresh-token rotation) so GitHub is only used to sign the user in.

A local MCP server for Jenkins that provides 17 tools to interact with Jenkins jobs, builds, logs, SCM, and test results via REST API, no plugin required.

Enables an MCP client to drive the merge-request review workflow on a self-hosted GitLab CE 11.3 instance: list and create merge requests, read per-file diffs, post comments on exact diff lines, reply to and resolve threads, and merge. It also exposes read-only helpers for projects, branches, files, users, labels, pipelines and an escape-hatch raw API call, honoring a read-only mode.

Enables MCP clients and LLM agents to fetch pull-request diffs, map changed files to tests, run affected tests in a sandboxed workspace, and post review comments or labels to GitHub, with dry-run and fixture demo modes.

Enables interactive GitHub pull-request review from Claude Code, with tools to fetch PRs, inspect files and repo structure, post review comments, and query a RAG index of the codebase.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests through generic GET, POST, PUT, PATCH, DELETE, and clone tools, including reading PR diffs, adding comments, approving, merging, and filtering responses with JMESPath. It connects LLMs directly to version control workflows so tasks like code review, repository search, and PR management can be done in natural language.

Exposes a Windows or Linux host terminal to remote MCP clients via Streamable HTTP, enabling command execution, tunnel management, and privileged operations with security features like OAuth and audit logging.

An MCP server for automated code reviews on Azure DevOps pull requests, enabling AI assistants to fetch PR details, validate requirements, post inline comments, and set review votes.

Enables pull request review, risk rating, and improvement suggestions directly inside MCP clients by pasting a GitLab/GitHub URL; it can post review comments back to the PR/MR.

Scans Git repositories, identifies interesting engineering work, and generates LinkedIn post drafts with built-in confidentiality sanitisation.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, and pull requests through generic GET, POST, PUT, PATCH, DELETE, and clone tools, covering branches, commits, file contents, diffs, issues, pipelines, and deployments. Supports JMESPath filtering and a token-efficient output format to reduce token costs.

Enables AI agents to interact with GitLab repositories, manage merge requests, review code diffs, post comments, and handle issues directly through natural language.

Enables a language model to read Bitbucket Cloud pull requests and post line-anchored comments with a summary, while deliberately preventing merge, decline, or approval actions.

Enables AI assistants to fetch GitHub pull request diffs and metadata, and post review comments directly through the MCP protocol.

Enables AI assistants to work with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests — listing, creating, commenting, comparing diffs, searching code, and cloning repos — through natural language. It exposes generic GET/POST/PUT/PATCH/DELETE/clone tools with JMESPath filtering and a token-efficient output format for LLM workflows.

Enables AI assistants to interact with Bitbucket workspaces, repositories, branches, commits, and pull requests through MCP tools for listing, retrieving, commenting, searching, and managing version control workflows. It supports generic GET, POST, PUT, PATCH, DELETE, and clone operations against Bitbucket Cloud REST API endpoints.

Enables people to open a shared group chat as a card inside their own AI chat, where they and their AIs talk together and post, claim, and confirm tasks on a self-organizing board. Its tools also let any AI read the repository's code and submit a proposed change that becomes a pull request.

Enables pull-request review workflows on Bitbucket Cloud via Claude Code, offering tools to view PR metadata, comments, diffs, and to post comments or approve.