"Information about SSH (Secure Shell)" matching MCP servers:

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

Enterprise-grade MCP (Model Context Protocol) server for detecting secrets and sensitive information in GitHub repositories. Scans for 35+ types of secrets including API keys, passwords, tokens, and credentials with production-ready reliability features.

Exposes a Windows or Linux host terminal to remote MCP clients via Streamable HTTP, enabling command execution, tunnel management, and privileged operations with security features like OAuth and audit logging.

Enables ChatGPT and Codex to safely work with explicitly authorized local project folders through MCP, providing constrained file reading, searching, patch editing, Git inspection, and whitelisted tasks without exposing arbitrary shell, deletion, or deployment capabilities.

An MCP server that enables AI models to securely read and manage GitHub issues with authenticated access, confirmation prompts for write operations, and metrics tracking for tool-call reliability.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

Enables asking natural-language questions about any GitHub repository and receiving answers grounded in the actual code, with read-only enforcement and automatic repository fetching.

Semantic git queries via MCP. Beyond git log — answer who/what/why about any line, file, or branch with blame, co-change, PR linkage.

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

Fetches glasz-style spec files (product.md, tech.md, test-plan.md, and INDEX.md) from GitHub repositories, enabling LLMs to answer questions about features, stories, and acceptance criteria without cloning or pasting files.

Provides intelligent file system operations with advanced features including code analysis and modification across multiple languages, version control (Git/GitHub), file compression, encryption, semantic search, batch operations, and secure shell command execution.

A thin MCP server wrapping GitHub CLI body operations to avoid shell escaping issues, enabling creation and editing of issues and pull requests.

MCP server that gives LLMs full visibility into your ws-cli workspace tree, enabling queries about workspaces, git status, tasks, and saved browser tabs.

Enables retrieving comprehensive information about GitLab merge requests, including details, commits, diffs, discussions, approvals, and CI/CD status, through natural language.

A secure MCP server that exposes local repository context to ChatGPT/Codex with read-only access, path validation, and no generic shell.

Enables natural language management of GitHub Projects V2, including issue creation, status changes, sprint reports, and project setup via MCP tools and shell scripts.

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.

Facilitates authentication with GitHub using OAuth protocol, allowing secure access and interaction with GitHub repositories and services.

A unified MCP server that combines GitHub, local Git, Slack, web fetching, persistent memory, and filesystem tools into a single configuration entry, with dangerous capabilities like shell execution disabled by default.

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.