"Live Order Book on Steam" matching MCP servers:

Enables AI agents to drive a running Roblox Studio in real time over a single WebSocket, executing whole Luau programs, installing in-engine controllers, hot-patching scripts during live playtests, and receiving errors, assertions and other events as pushes. It also reaches Roblox Open Cloud for the open place and answers visual questions via a vision sidecar, exposing all of this through nine MCP tools.

An MCP server that lets coding agents scaffold, run, and iterate on Maltego transforms against a live local server, reading back entity results to validate and improve mappings.

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

Connects AI assistants to a live Roblox executor session to read console logs and errors, search and inspect the instance tree, read scripts, change properties, and run Lua, while reporting connection status on every call.

Enables coding agents to build, test, archive, and run iOS apps on a remote Mac fleet from any environment, with XcodeBuildMCP-compatible tools and live simulator access.

Compile, lint, simulate (60 Hz), and render headless 4-up 3D contact sheets from Three.js to GLB, USDZ, Android (Filament / Jetpack XR), iOS/visionOS (RealityKit), and WebXR.

Implements Solana blockchain functionality for the LetsBonk launchpad, enabling users to launch and trade tokens on letsbonk.fun.

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.

Enables AI agents to control Ableton Live by evaluating arbitrary Python code and using predefined tools for common tasks, supporting voice and text commands for music production.

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.

Enables agents to synthesize typed MCP tool schemas at runtime, validate Python ASTs for unsafe imports, compile sandboxed callable handlers, and hot-plug them into an active MCP runtime. It provides a zero-dependency, standard-library-only MCP server for safe just-in-time tool creation and execution.

Connects AI agents to engineering software already installed and licensed on the machine — CAD, CAE, structural analysis, BIM, and office tooling — exposing each product's real automation API as callable tools. Every connection is confirmed by a live round trip, so agents get specific diagnostics instead of fabricated capabilities or false success reports.

Enables AI assistants to start, manage, and embed live application previews in iframes, with support for multiple frameworks, Docker, tunnels, and authentication.

Enables agents to dynamically generate typed MCP tool schemas, validate Python execution ASTs against unsafe imports, and hot-plug sandboxed callable handlers into an active runtime. This allows new tools to be synthesized and safely executed on demand.

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

Connects Roblox Studio to AI coding editors via the Model Context Protocol, allowing AI agents to understand and interact with live Roblox Studio sessions through scene manipulation, scripting, and optional Roblox Open Cloud API integration.

It enables local MCP clients to interact with the live Positron R or Python session, supporting variable inspection, silent evaluation, and state-changing execution.

Enables AI clients and an in-Revit chat pane to drive Autodesk Revit 2025+, exposing 100+ commands for model querying, QA/QC, modeling, rebar, sheets and schedules, plus running custom single-file .cs commands and C# scripts with undoable edits. Includes a headless 'virtual hand' mode that operates Revit's own commands and UI when no API exists, with view screenshots returned to the AI.

Exposes Jupyter notebook operations as MCP tools over plain HTTP, allowing AI agents to explore, edit, run, and debug notebooks in a live VS Code session using local or remote kernels.

MCP server for editing Jupyter notebooks (.ipynb) with 23 cell-level tools: create, read, search and restructure cells, manage outputs and metadata, and execute cells on a live Jupyter kernel (python3 built in; R, Julia via installed kernels). Built on nbformat and jupyter_client.

An MCP server for integrating with Zerodha Kite API that provides Claude with tools to interact with your Kite trading account, enabling portfolio management, market data access, and order execution.

An MCP server for Cocos Creator 3.8.8 that lets AI assistants read and drive the project open in the editor, covering scene inspection, node and component creation and editing, prefab and asset management, script execution and builds. It exposes 40 tools over a loopback-only Streamable HTTP endpoint, so clients such as Claude Code or Cursor can operate directly on the live editor rather than files on disk.

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

Enables AI coding agents to create disposable, isolated Firecracker MicroVM sandboxes on AWS Lambda, execute commands, transfer files, and tear them down when done.

An MCP server that lets AI agents drive a running Roblox client, execute Luau, decompile scripts, spy on remotes, and automate UI, with a bundled Vyre dashboard for live monitoring.

An MCP server that lets AI agents debug Python code by running scripts, setting breakpoints, stepping through execution, inspecting live variable values, and editing or reverting files to verify fixes. It relies only on Python's standard sys.settrace, requiring no debugpy, DAP, pdb, or PTY.

Enables coding agents to start and operate live kernels on local machines, Modal GPUs, or Colab VMs, running code, notebook cells, shell commands, and file transfers while inspecting variables, plots, and errors. It also runs notebooks, scripts, and web UIs end to end as budget-capped plans that verify expectations and report what failed and what changed.

Bridges a Roblox executor's DEX explorer with an AI client so the AI can see which instance the user has selected and, conversely, select, highlight, or inspect instances inside DEX on the user's behalf. It also exposes execution, inspection, remote-spy, and GUI tools to drive the live Roblox client over a local WebSocket bridge.

Gives a coding agent its own Docker-hosted Linux desktop with XFCE, Chromium, Blender, LibreOffice, GIMP and a sudo shell, exposing tools for screenshots, mouse and keyboard input, window focus, shell commands, file read/write, opening URLs or GUI apps, and headless Blender renders. The agent can watch and drive that desktop live from a browser while working on the shared project folder.

Enables AI assistants to write, validate, debug, and execute AutoHotkey v2 scripts on Windows, with tools for syntax checking, script execution, active window inspection, library search, and live debugging via DBGp protocol.

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.

Enables AI assistants to drive a live Blender session over MCP by creating and transforming primitives, building and assigning materials, inspecting scenes and objects, capturing viewport screenshots, and executing arbitrary bpy Python. Commands are relayed over a local TCP bridge to a Blender add-on and executed on Blender's main thread, supporting multiple simultaneous AI clients.

Enables coding agents and users to share live tmux-based REPL sessions for many languages, allowing agents to execute code in the same interactive workspace via MCP.

Enables Claude Desktop's Chat and Cowork — which lack shell access — to drive the ego (lite) browser by launching the ego-browser CLI as a child process and running model-written JavaScript against it. This restores the missing execution layer so users can open pages, work in task spaces, and take snapshots without a CLI agent.

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 AI agents to read and modify Pulsonix 10.x schematics and PCB layouts through the CAD tool's ActiveX scripting API on Windows. Supports inspecting and editing components, nets, netlists, BOMs and attributes, running ERC/DRC and CAM/plot outputs, and executing arbitrary scripts in headless or live mode.

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

MCP server enabling AI assistants to write and run WorldEdit CraftScripts on a Minecraft server as specific players, using live selections and undo history. Supports local stdio and remote HTTPS access with in-game code verification.

MCP server for editing R Markdown (.rmd) documents with 24 cell-level tools: create, read, search and restructure cells, read and set knitr chunk options and YAML frontmatter keys, and run chunks on a live Jupyter kernel (R via IRkernel; Python, Julia via installed kernels). Built on PyYAML and jupyter_client.

MCP server that gives any LLM a managed Docker workspace with live browser, terminal, code execution, document skills, and autonomous sub-agents.