"Redis MCP server or integration" matching MCP servers:

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Enables coding agents to verify whether a GitHub pull request is genuinely ready by checking draft state, conflicts, check results on the head commit, review requirements, merge queue status, and expected commit, returning a verdict with reasons and owners pinned to a commit and timestamp. It reports merged or closed PRs without judging them and never authorizes a merge.

A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.

Generates a daily standup note from GitLab merge request or GitHub pull request state: what is ready to merge, what is blocked, what is stale, and what is waiting on your review. When CI is red it opens the failed job's log and reports the error lines, so the note says why the pipeline failed rather than just that it did.

An integration tool that enables AI assistants like Claude to directly access and interact with Bitbucket repositories, pull requests, and code without requiring copy/paste operations.

A stateless HTTP MCP service that exposes GitHub organization member management tools (list, view, add, update role, remove members, and manage invitations) as MCP tools consumable by Claude and other MCP clients.

Connects Claude to GitHub, enabling listing repositories, browsing open pull requests, and inspecting PR diffs for code review.

Generates commit messages, PR titles and descriptions, and release notes from git changes, with automatic domain detection for appropriate PR templates.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

Enables code search across indexed repositories using regex patterns, with pagination, repository listing, and file context retrieval via Hound integration.

MCP server to automate Pull Request creation with AI. Analyzes Git branches, generates descriptions, titles, suggests reviewers, and performs code reviews.

A production-ready MCP server for triaging and reviewing GitHub pull requests via the GitHub REST API, providing typed tools to list, inspect, comment, add labels, and submit reviews.

Enables comprehensive GitLab integration allowing LLMs to manage projects, issues, merge requests, repository files, CI/CD pipelines, and perform batch operations. Supports advanced features like AI-optimized summaries, smart diffs, and atomic operations with rollback support.

Analyzes GitHub Pull Request diffs for security vulnerabilities and data leaks, using a deterministic filter to skip trivial changes and an AI-powered analysis for logic changes.

Python MCP server for GitHub operations, providing native tool integration with Claude Code and other MCP clients. It enables managing issues, pull requests, CI status, milestones, and batch operations via natural language.

Enables automated pull-request review workflows for Angular repositories by providing tools to generate, read, and save diffs, and to fetch review templates.

Enables AI agents to create private GitHub issues for decisions, send email alerts, wait for human comments, and parse replies so work can resume. Supports guided setup and MCP integration without requiring separate AI API keys or an always-on cloud server.

A read-only MCP server that securely serves Jira (Server/Data Center) data to Claude Code without exposing the personal access token, with optional GitLab integration.

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

Enables PR review workflows by launching a diff visualizer against a git repo and returning 'accepted' or 'rejected' based on user decision.

MCP server for Jenkins (with optional GitLab integration) that lets AI assistants list jobs, trigger and track deployments, fetch build logs, and verify whether tickets are deployed, without touching the Jenkins UI.

MCP server for Redmine integration, enabling AI assistants to manage issues, upload files, automate workflows, and handle wiki pages.

Enables management of GitHub pull request review threads through natural language, allowing users to list, reply to, and resolve PR review comments using GitHub's GraphQL API.

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

Extracts today's Git commit history and code changes from a local repository, filtering by the current user and excluding merge commits, for integration with MCP clients like Claude Desktop.

A sample MCP server built with FastMCP that demonstrates basic tools and a Google OAuth integration for accessing Google APIs like Calendar.

Enables LLM clients to list, read, review, and comment on GitHub pull requests, turning an AI assistant into a fully capable code reviewer.

Streamlines GitHub PR workflows, monitors CI/CD, and sends Slack notifications. Provides tools for PR analysis, CI monitoring, and follow-up tasks.

Enables MCP clients like Claude and Cursor to read, edit, compile, and review Overleaf LaTeX projects through Git integration or optional web mode, including managing files, outlines, comments, and PDF downloads. Also converts Markdown drafts into LaTeX written directly into a project.

Provides GitHub PR review capabilities to LLMs, enabling automated PR analysis, review submission, and inline commenting via MCP.

Enables a coding session to watch GitHub pull requests and receive reports of new activity such as commits, reviews, comments, check status changes, and merge or closure events, with events available through live channel messages or pending queries.

A complete Model Context Protocol server for Subversion (SVN) integration, designed to allow AI agents to efficiently manage SVN repositories.

A Python implementation of an MCP server that enables secure, local Bitbucket integration for AI applications, providing tools for repository management, branch creation, file operations, issue tracking, and pull request creation.

A MCP server that bridges LLMs with GitHub repository management, enabling automated analysis of pull requests, issue management, tag creation, and release management through natural language.

MCP (Model Context Protocol) server for GitHub API integration. This server provides comprehensive tools for interacting with GitHub repositories, issues, pull requests, branches, and code search through a unified interface.

A dynamic Azure DevOps MCP server that automatically switches authentication context based on the current working directory, enabling seamless integration with multiple Azure DevOps organizations and projects.

Provides access to Overleaf projects via Git integration, allowing Claude and other MCP clients to read LaTeX files, analyze document structure, and extract content.

Enables comprehensive directory analysis and file management operations including project structure exploration, intelligent file search, full CRUD operations on files and directories, batch operations with rollback capabilities, and Git integration.

MCP server for Azure DevOps Git operations integration with AWS Q, enabling repository search, repository info retrieval, and access to pipeline variables and variable groups.

Provides brutally honest, humorous code reviews for GitHub pull requests using Claude Haiku. Enables users to roast their PRs by fetching metadata and diffs via the GitHub CLI and returning severity-rated reviews with genuine compliments.