"How to Create Looker Dashboards" matching MCP servers:

Enables AI assistants to query, create, update, and propose changes to Infrahub infrastructure data through the Model Context Protocol, with branch isolation and human approval for changes.

Enables LLMs to create animated, narrated tours of GitHub pull requests, with a local browser viewer showing diffs and code highlights while speaking the narration aloud.

Enables AI assistants to create conventional Git commits, update changelogs, and optionally push changes to remote repositories.

Enables Claude to create, manage, and clean up git worktrees automatically, including dependency installation and GitHub PR creation.

An MCP server that enables AI assistants to read, create, and manage issues, repositories, and releases on Gitea, Forgejo, or Codeberg instances via personal access tokens.

MCP server for Google Jules enabling LLMs to create coding sessions with automatic pull request creation from issues or custom prompts.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

Enables LLMs to list, create, and comment on GitHub issues using your own GitHub identity via stdio transport.

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 managing GitHub wiki pages programmatically, enabling create, read, update, delete, and list operations via git cloning and pushing.

Enables an MCP-capable assistant to review GitLab merge requests, GitHub pull requests, and pre-push local branches against ticket requirements, domain rubrics, compiler/lint pre-passes, blast-radius analysis, and SonarQube findings, and to draft inline comments or follow-up tasks in the user's chosen language. Nothing reaches a remote host until a human approves the exact content in an interactive terminal.

Connects MCP-compatible AI coding agents to self-hosted instances so they can discover projects, repositories, and branches, then create or update pull requests from a local Git context and return the PR number and browser URL. An explicit repository allowlist restricts all repository and pull request reads and writes.

Enables pull-request workflows on GitHub and Bitbucket Cloud, providing tools to list, create, update, merge, close, comment on, and review pull requests via a unified interface.

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.

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 AI agents to create GitHub issues on explicitly allow-listed repositories using GitHub App authentication, with input validation, rate limiting, and no token exposure.

MCP server to create, read, update, list, and search GitHub Gists from your IDE.

MCP server for managing Git operations on local repositories, allowing users to list repositories, get and create tags, list commits, push tags, and refresh repositories through a standardized interface.

Enables automatic saving of insights from Claude conversations as GitHub Issues, with features to create, list, and search insights by category and keyword.

Enables interaction with the Tembo API to manage organization tasks and view enabled code repositories. Users can create, search, and list tasks or retrieve account information directly through MCP-compatible clients.