"Home Assistant" matching MCP servers:

Enables natural-language queries about public GitHub repositories, including issues, pull requests, repo metadata, and READMEs, via the GitHub API.

Jenkins HOT/QAT deployment assistant MCP server that enables agents to locate jobs, check branches, perform safe deployments with overwrite protection, and rollback deployments via natural language.

Enables LLM applications to interact with Google's Jules AI coding assistant to manage repositories, coding sessions, and pull requests. It allows users to programmatically create tasks, approve plans, and communicate with the assistant during active coding sessions.

MCP server for Home Assistant — 202 tools across 21 domains; full control of your smart home from Claude / Cursor / VS Code / any MCP client

repo-release-tools mcp-server automates the software release process by managing version bumps, changelog generation, and releases. It streamlines repository maintenance by handling repetitive release tasks directly through your AI assistant.

Analyzes code changes using static code-graph and git co-change history to identify likely affected files, returning tiered confidence reports with evidence. Exposes tools for AI assistants to inspect current changes, static impact, historical co-change patterns, and detailed explanations.

A personal GitHub engineering assistant that enables repository management, project publishing, code and engineering-memory search, Project Euler solution workflows, and repo analysis through natural language.

MCP server for managing Ubuntu servers with AI integration, enabling system monitoring, Docker control, Gitea repository management, Ollama LLM interaction, workspace file operations, and Claude Code assistant via natural language.

Helps support engineers find similar GitHub issues to speed up troubleshooting by searching repositories and calculating similarity scores based on issue descriptions.

Provides reusable AI assistant behavior rules as prompts and automatic git repository context (branch, commits, diffstat) to eliminate repetitive explanations across sessions and clients.

Provides 15 MCP tools for AI-powered Git intelligence, enabling commit messages, branch creation, PR descriptions, code review, diff analysis, and push operations directly from your AI assistant.

Enables an assistant to work inside gitlab.com projects as the signed-in user: issues, merge requests, code reviews, repositories, CI pipelines and job logs, plus optional gated toolsets for wiki, snippets, releases, planning, deployments and activity. It authenticates through a user-supplied OAuth application with the token kept in the OS keyring, and registers only the tools that are switched on.

Enables AI assistants to perform comprehensive GitHub pull request code reviews, including analysis of code patterns, complexity, and security issues, while managing review comments and ensuring compliance with team coding standards.

A custom MCP server that enables AI assistants to perform comprehensive research tasks, including searching ArXiv, summarizing papers via Groq, managing local research notes, and pushing findings to GitHub.

A lightweight MCP server that enables AI assistants to manage local Git repositories by executing commands like status, add, and commit. It streamlines development workflows by providing repository context and diffs directly to the assistant.

Enables Claude Desktop to analyze repositories, fetch and create issues, inspect pull request diffs, and comment on pull requests through the GitHub API using natural-language commands.

Lets MCP-compatible clients answer natural-language questions about your GitHub activity, such as counting today's commits across all your repositories via the GitHub REST API.

Enables Operit AI mobile assistant to control GitHub operations (repos, files, pages) via a Personal Access Token.

MCP server that integrates GitHub, Brightspace, Outlook, and local files, enabling natural language queries for assignments, grades, emails, calendar events, repositories, and file operations.

Enables AI assistants to build and maintain a shared, git-backed Markdown wiki: they search, file, update and link notes with YAML frontmatter, keep verbatim sources, and optionally read code repos, so knowledge one assistant records is available to all the others. Runs without LLM calls, embeddings or a database, with the vault's own files defining page types, instructions and tools.