"How to create new files and save them to Google Drive" matching MCP servers:

Lets AI agents turn a repository's git history into proposed GitHub issues grouped into units of work, each with a commit checklist and links, then create and close them only after approval. Planning is read-only and creation defaults to a dry run, skipping anything that already exists.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

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.

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

A read-only MCP server for the Bitbucket Cloud REST API v2.0 that enables AI assistants to browse workspaces, repositories, and review pull requests.

Provides a read-only MCP bridge that lets Claude Web inspect workspace files, git state, and recorded test results while Codex remains the sole executor of changes.

A custom MCP server that lets AI assistants interact with GitHub accounts, offering tools for repository creation, file viewing, code search, and issue management.

Enables MCP-compatible AI clients to connect to a Windows machine for file operations, PowerShell execution, Git inspection, task management, memory, and skills.

An MCP server that automates the backup of Cloudflare projects to a GitHub repository, providing a systematic way to preserve Cloudflare configurations and assets.

A deterministic, local-first memory engine for AI assistants that provides versioned context management via MCP, enabling token-budgeted context patches with provenance and explainability.

A FastMCP-based server designed for the banking and fintech domains, providing tools for database queries, Git operations, and deployment management. It features a modular architecture with reusable prompt templates and integrated security practices for sensitive data handling.

Enables searching GitHub users and repositories, fetching details, and performing stock market technical analysis via AlphaVantage.

Enables phone-issued approve/commit/push/pull commands to control an AI coding agent's git actions by bridging GitHub webhooks and MCP tool calls.

A Model Context Protocol server that connects Claude and other MCP clients to Aider, enabling AI assistants to efficiently edit files, create new files, and interact with git repositories through natural language.

Provides access to GitHub v3 REST API functionality through STDIO mode with FastMCP, enabling users to interact with GitHub resources.

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 filesystem-based MCP server for AI coding agents to coordinate work across git worktrees by claiming files, checking for conflicts, and logging progress without affecting the repository's git history.

Enables LLMs to efficiently navigate and analyze large diff files by providing pattern-based chunk navigation, allowing direct access to relevant changes without loading entire diffs into context.

Enables AI coding agents to persist atomic, token-budgeted facts across sessions via SQLite-backed full-text search, automatically superseding outdated entries and flagging memories as stale when Git webhooks detect changes to anchored repo files.

Enables read-only access to the canonical-vault GitHub repository through MCP, letting clients list files, retrieve file contents and history, inspect commits, and search code.

Enables AI agents to intelligently organize Git changes into clean, focused commits with autopilot mode or surgical line-by-line staging precision. Supports partial staging of untracked files and handles large diffs with smart truncation.

Provides MCP tools to get a single-call snapshot of git and GitHub Actions CI status across all repositories in a folder, flag missing or stale architecture docs, write doc files, and detect release drift between source and release repositories.

Enables agents to autonomously resolve GitHub issues by editing code, running tests, and opening pull requests, while enforcing guardrails that protect critical files and systems.

Clones a Git repo into a temp directory so MCP clients can search and read files from another repo for context.

MCP server for the Berbotu vault, providing tools to ping health, list demos and releases, and add new demos via GitHub commits over stdio.

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 coding agents to retrieve pull request review findings, reproduce and fix them locally, reply on review threads, report reproduction results, and request fresh reviews.

Enables AI agents and developers to score npm packages, PyPI packages, and GitHub repositories for maintenance health, producing A–F grades, per-signal details, and plain-language risk lists before adoption. It supports checking individual packages, scanning manifests or lock files for transitive dependencies, and comparing alternatives.

Enables triage of GitHub issues by fetching and filtering issues, checking claim status, and listing new open issues across a watch-list.

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.