"Ruby on Rails" matching MCP servers:

Enables AI assistants to execute Ruby console commands (Rails console, IRB, etc.) with persistent session support for interacting with Ruby/Rails applications through natural language.

Better agentic Rails development, runtime-level tools for your agent to talk to your running app.

Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r

Enables AI clients to drive SketchUp Pro 2026 on a Windows host, including from WSL, by executing arbitrary Ruby in the active model, reading scene and selection details, and capturing viewport screenshots. It talks to a loopback TCP bridge inside SketchUp using a connect-per-command protocol for reliable, desync-free control.

Enables creation of ephemeral, polyglot development environments using Nix for on-demand execution of code with specific dependencies across Python, Node.js, Ruby, R, and Lua without cluttering the system.

Enables MCP clients to inspect and modify SketchUp models through a local authenticated bridge, covering entity creation and editing, geometry, materials, tags, cameras, scenes, transactions, snapshots, and file or view export. It also offers an optional full SketchUp Ruby API execution channel and batch operations for furniture, architectural, and analysis tasks.

A client library for connecting to and interacting with MCP servers hosted on smcphub.com, allowing users to find, publish, and call tools on MCP servers.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

MCP server for snowflake that doesn't allow write operations under any circumstances, and includes a system prompt.

Enables GUI automation by executing Python code with instrumented pyautogui, providing MCP-friendly output and inline screenshot delivery.

An MCP server that enables AI agents to execute Lua code, inspect scripts, spy on remotes, and interact with running Roblox game clients, including support for mobile executors on Android and iOS.

A lightweight MCP server that gives AI coding assistants full development capability on ServiceNow through the Table API, enabling CRUD and script execution without local installation.

Enables container orchestration on the local Docker daemon, allowing management of jobs and services via MCP tools.

Connects a locally running MCP-compatible assistant to SketchUp desktop, letting it check connection status and describe the current document and selection. Optionally enables explicitly approved, unsandboxed native Ruby scripting for deeper model access.

Enables AI agents to run arbitrary Python scripts on Modal's serverless infrastructure with on-demand CPU, memory, and GPU resources, providing scalable compute without maintaining always-on servers.

A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.

Persistent memory and pattern learning for AI coding assistants via MCP.

MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution

Enables basic mathematical operations through MCP protocol with add and multiply tools. Built with fastmcp 2.0 and optimized for serverless deployment on Vercel.

All In One Model Context Protocol: qdrant, google suite (gmail, calendar, ...), jira, gitlab, CLI, ...