"Information about Google Workspace" matching MCP servers:

Gives mobile AI assistants a real local command-line workspace and manages Cloudflare resources (Pages/D1/KV/R2) via REST or wrangler, with credentials remaining on-device.

A remote MCP bridge that lets MCP clients use Modal sandboxes for Linux execution, dependency installation, Git operations, GPU jobs, and invoking deployed Modal Functions.

Provides secure, sandboxed file system access for AI assistants to read, write, and manage project files with controlled command execution capabilities, all confined to a designated workspace directory.

A deliberately narrow, approval-gated workspace server that safely reads and writes files and runs allowlisted commands only inside one configured workspace, requiring visible approval for every write, process execution, and file read, with stale-overwrite protection and symlink-escape rejection.

Enables ChatGPT web conversations to directly operate a Windows machine through OpenAI Tunnel, including file read/write, precise editing, command execution, and Git review, with a live dashboard for replaying each tool call.

Enables coding agents to browse, read, search, and write files inside a locked workspace, run asynchronous shell commands, and batch read operations, all with validated caching, health diagnostics, and a SQLite audit trail.

Provides AI coding agents with structured, evidence-based diagnostics about the local development environment, detecting tech stack, runtime mismatches, dependency state, services, ports, and Git status without exposing secrets or using network calls.

Enables coding agents to perform workspace-confined file operations, read-only Git inspection, and structured shell commands, while requiring out-of-band human approval for mutations and external executions and maintaining an audit trail.

Manages multiple SSH servers through a local workspace with MCP tools, executing commands and transferring files securely with credential isolation.

Enables coding agents to safely inspect and modify project files within explicitly allowed workspace roots, with controls for file operations, git status/diff, and optionally allowlisted command execution.

Exposes Mavis's coding tools (bash, edit, git, supabase) to Claude Code via the Model Context Protocol, enabling Claude to reason and execute commands in a sandboxed workspace.

Connects ChatGPT to a local developer workspace through MCP, enabling bounded repository analysis, file and image inspection, direct edits, command verification, and Git-aware review.

Enables AI assistants to natively execute and manage 600+ Kali Linux security, penetration testing, and forensic tools, including search, help documentation, structured scanners, and workspace management.

An MCP server that gives Claude IDE capabilities inside VS Code and Cursor, enabling file operations, shell commands, and workspace management via natural language.

A TypeScript-based MCP server that enables Claude Desktop to perform file operations and retrieve system information, with built-in security features that restrict access to safe directories only.

MCP server for hyperpanes terminal workspace app, enabling AI agents to compose and launch workspace layouts, inspect and drive terminal panes, stream output, and orchestrate agent hierarchies.

Enables secure SSH access to servers through a gateway with Kerberos authentication, allowing execution of whitelisted commands with pattern-based security controls and server information retrieval.

Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

Enables AI assistants to securely operate on a local workstation through MCP by exposing file, shell, and workspace management tools.

A minimal MCP server that lets AI hosts execute shell commands in a sandboxed workspace directory.

About AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.

Enables AI clients to execute Windows commands, manage files, query system information, and perform code checks via MCP protocol.

Provides an MCP control plane for a dedicated Linux VM, enabling shell-equivalent command execution, bounded filesystem and Git workspace operations, persistent process and coding-agent orchestration, artifact presentation, and optional upstream MCP bridge re-exports.

MCP server that enables AI to fully control macOS — mouse, keyboard, terminal, screenshots, window management, UI element detection, and provides AI-optimized information reporting.

Enables managing Google Cloud Platform resources through natural language commands in Claude Desktop, supporting comprehensive operations across compute, storage, databases, networking, monitoring, and IAM without manual credential setup.

MCP server with 24 tools for live workspace state resolution. Pre-resolves git status, service health, file queries, memory federation, and multi-agent coordination into markdown before the AI sees it. Single-file Python (pyyaml only), MIT. Serves over stdio and SSE. Published as io.github.tcconnally/perseus on the MCP Registry.

Provides Unix command documentation directly within Claude conversations, allowing users to retrieve help pages, man pages, and usage information without leaving the chat interface.

Self-hosted MCP server that enables ChatGPT to access and operate on local project files after OAuth authorization, without uploading the workspace elsewhere.

Enables AI agents to securely manage and execute commands on remote Windows servers via WinRM, including PowerShell execution, system information retrieval, and service management.

Structured workspace runtime for long-running coding agents, providing controlled workspace capabilities with task state, snapshots, checkpoints, drift detection, verification evidence, audit logs, and structured handoff.