"A guide to report writing" matching MCP servers:

Connects ChatGPT to Roblox Studio's built-in MCP, enabling natural-language reading and writing of game data, including executing Luau code and modifying scripts and instances.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

Enables agents to interact with the Logflare API by writing JavaScript functions that run in a Vercel Sandbox, using three tools: search, execute_read, and execute_write.

Run DeepSeek as a real sub-agent inside Claude Code / Codex CLI — not just a single LLM call. DeepSeek gets its own 7-tool agent loop (Read/Write/Edit/Bash/Glob/Grep/NotebookEdit) inside a sandboxed workspace.

Enables agents to accomplish multi-step work by writing a single sandboxed JavaScript program that drives shell, filesystem, HTTP, and every tool of any configured MCP server, returning only a small summary instead of raw JSON. This collapses dozens of advertised tool schemas into one tool, cutting per-request context by roughly 26× while keeping disabled upstream servers reachable.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Provides AI coding agents a full abap2UI5 development loop—writing ABAP classes, validating views, deploying, and running apps headless with screenshots—all locally without an SAP system.

Lightweight MCP server for After Effects that enables Cursor Agent to execute ExtendScript code inside AE via a single tool, similar to Blender MCP.

Connects an AI agent to an open CSI ETABS model through the official COM API, enabling natural-language requests for model queries, analysis, design checks, and report extraction while the agent searches API methods and runs sandboxed Python against the live model.

Remote-control Unity Editor from any AI IDE via file-based IPC — 62 tools, zero dependencies

An MCP server that wraps the OpenAI Codex SDK to deploy multiple specialized AI agents with individual configurations for models, sandboxing, and behavior. It enables users to manage dedicated tools for tasks like code review and test writing through a customizable agent factory.

Provides direct, unsandboxed local machine access via filesystem, Python, Node.js, and shell commands for MCP agents.

Lets an AI agent read and change on-premises Active Directory by writing short JavaScript scripts that run in a network-isolated sandbox against a chosen domain. Runs on Windows as the logged-on user, over Kerberos, with tools for executing scripts, searching the domain's schema catalogue, querying Microsoft Learn docs, and managing domain connections and Group Policy objects.

Enables MCP clients to manage disposable cloud Linux machines by creating and controlling them, executing commands, reading and writing files, creating snapshots, publishing ports, and issuing SSH tokens.

Enables LLM agents to create pixel art and animations in Aseprite by writing and headlessly executing complete Lua scripts, with API documentation and output verification.

An MCP server that lets AI coding agents work on Godot 4 projects, including reading and editing scenes, writing and validating GDScript, running the game, and capturing screenshots.

An MCP server that integrates Codex CLI into Claude Code workflows for code writing, execution, and review with session management. It features real-time progress monitoring via a local HTTP dashboard and supports detailed configuration for various coding tools.

A Model Context Protocol server that connects to Google AI Studio/Gemini API, enabling content generation with support for various file types, conversation history, and system prompts.

Enables AI models to dynamically create and execute their own custom tools through a meta-function architecture, supporting JavaScript, Python, and Shell runtimes with sandboxed security and human approval flows.

Enables MCP clients to manage a workspace through file reading, writing, editing, searching, Bash/Python execution, and job control, with optional desktop GUI and Cloudflare Tunnel access.

A powerful AI-driven tool that helps developers create beautiful, modern UI components instantly through natural language descriptions.

Enables AI agents to program MicroPython boards such as Raspberry Pi Pico and ESP32 through Thonny, with visible shell commands and optional human approval.

Enables Claude to generate executable test cases from decision tables in CSV, JSON, or Markdown formats. Provides intelligent test planning guidance and generates Playwright/API test code with TypeScript support.

A Model Context Protocol server for time manipulation tasks, enabling AI models to get the current date/time and calculate duration between timestamps.

MCP server that delegates code writing, editing, and execution to OpenCode, allowing AI assistants to focus on decision-making.

Enables AI agents to observe and control a browser-based 2D robot simulator, including driving, configuring sensors and modules, running programs, and generating wiring, firmware, and parts lists for ESP32, Arduino Uno, or Raspberry Pi.

Enables an MCP client to guide users through 12 stages of game creation, from concept to launch, by managing decisions, recommending skills, and generating playable HTML5 prototypes, GDDs, and backlogs.

econ-r-mcp is a local MCP server plus companion skill for reproducible applied econometrics and statistics workflows powered by headless R execution.

An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server for integrating with various LLM clients like Claude Desktop.

Enables execution of Go code in the Go Playground sandbox and generation of shareable URLs for code snippets. Provides tools to run Go code, share code via URLs, or perform both operations simultaneously.