"Exploring GitHub Repositories for File and Folder Organization Inspiration" matching MCP servers:

Provides a human-in-the-loop security layer for AI agents by intercepting file operations, explaining them with a local LLM, and enforcing a deterministic policy that requires user approval for risky actions.

Enables AI agents to safely read, write, and search files within a whitelisted sandbox directory, rejecting any attempts to escape the sandbox.

Enables agents to securely stage, validate, and submit binary data for on-premises storage, then list, inspect, process via registered server-side processors, and token-guarded delete those assets using opaque identifiers. Upload bytes travel over a separate data plane rather than through MCP JSON, with staging, validation, and prepare/apply/verify flows enforced throughout.

Enables safe GitHub automation by queuing write operations for admin approval before execution.

An MCP server that enables AI agents to perform comprehensive GitHub security audits across org settings, repositories, Actions workflows, secrets, supply chain, and access control using 39 tools and 45 checks.

Enables AI assistants to list directories, read, write, and search files within a locked root directory, using resolve-then-validate path checks, size caps, and binary detection to prevent sandbox escapes.

Enables an AI assistant to read, search, summarize, and triage GitHub issues and repository activity through an allowlisted, read-only set of tools, prompts, and resources. Every input is validated, every repository must be explicitly approved, and all third-party issue text is fenced off and marked as untrusted before it reaches the model.

Enables querying GitHub Security Advisories from a local cloned advisory database using tools like list_advisories and get_advisory.

Enables AI assistants to search, inspect, compare, and evaluate GitHub repositories using read-only tools, including topic discovery, repository health scoring, security advisories, dependency audits, and supply-chain risk checks. It returns concise, readable results and can work without a token, with optional authentication for higher rate limits and code search.

A Model Context Protocol server that gives AI agents bounded, auditable access to propose changes to an Obsidian vault stored in GitHub, with per-agent expiring tokens, read/write/deny path policies, mutability rules, frontmatter checks, and human-reviewed proposal branches.

A web application for securely managing GitHub tokens and providing centralized access to various development tools integrated with GitHub accounts.

Enables Claude to authenticate with GitHub OAuth and access tools for user information, calculations, and GitHub repositories.

Comprehensive MCP server for analyzing GitHub pull requests, detecting security vulnerabilities, assessing code quality, and providing risk ratings across multiple languages.

A lightweight stdio-to-http relay that enables the GitHub MCP server to authenticate using a GitHub App instead of a Personal Access Token. It automatically manages fine-grained permissions and short-lived tokens for secure, organizational AI agent workflows.

Enables MCP clients to manage files in an isolated workspace and perform lightweight Git operations through a protected Streamable HTTP endpoint, including listing, reading, writing, searching, replacing, and deleting files plus checking status and diffs.

An MCP server with GitHub OAuth for remote connections, providing tools for arithmetic, GitHub user info, and image generation.

A remote MCP server for Cloudflare Workers featuring built-in GitHub OAuth for secure user authentication and identity-based access control to tools. It provides a reference implementation for managing remote MCP connections with persistent state and OAuth provider integration.

Enables AI clients to audit GitHub repositories for Dependabot, code scanning, and secret scanning alerts, generate conservative remediation plans, and execute verified fixes through MCP tools with fail-closed mutation controls.

Audits GitHub Actions workflow files for supply-chain risks like script injection, leaked tokens, unpinned actions, and broad permissions.

This MCP server enables users to sign in with GitHub and use AI agents to scan entire repositories for leaked secrets such as API keys, passwords, and tokens, delivering a report with the exact file and line plus remediation guidance.