A Model Context Protocol (MCP) server providing comprehensive cloud region data across all major providers. Query, filter, and compare cloud infrastructure locations worldwide.
Enables AI models to interact with IBM FileNet Content Manager for document management, folder operations, metadata handling, search, and content extraction through a standardized interface.
Enables AI assistants to interact with Terraform Cloud workspaces and runs, including checking run status, listing workspaces, and retrieving detailed information about workspaces and runs.
🗂️ A Model Context Protocol (MCP) server that provides integration with Turso databases for LLMs. This server implements a two-level authentication system to handle both organization-level and database-level operations, making it easy to manage and query Turso databases directly from LLMs.
Enables visualization of Terraform plan changes as interactive cloud architecture diagrams with official AWS, Azure, and GCP icons, showing resource dependencies and changes.
MCP server for interacting with Jira Cloud instances. Enables issue management, JQL queries, project and sprint management, and batch operations via natural language interfaces.
Reference MCP server for IOX Cloud — a deployment platform for MCP servers and AI agents. Deploys to 300+ edge locations via Cloudflare Workers for Platforms with per-tenant V8 isolation, built-in OAuth 2.1, and usage tracking. This repo demonstrates a minimal MCP server that introspects the IOX Cloud platform (tools: get_platform_info, list_templates, estimate_cost, check_slug_available).
A hosted AI software engineer that writes code, opens PRs, reviews code, generates tests, runs security scans, and answers codebase questions.
Connect from any MCP client (Claude Code, Cursor, Windsurf, or your own agents) and delegate engineering tasks.
Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
Enables automation of Google Jules AI coding assistant through task creation, code review automation, repository management, and AI-powered development workflows. Supports multiple session modes including cloud deployment with persistent authentication.
An MCP server for automating Google Jules that enables seamless integration for task creation, code analysis, and AI-powered development workflows. It supports multiple session modes including Browserbase and cookie-based authentication for both local and cloud environments.