"Writing about MCP" matching MCP servers:

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.

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.

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.

MCP server for Python build123d to help AIs develop and reason about 3D models and CAD

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.

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.

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

Enables any MCP-compatible AI agent to directly operate PixInsight through about 80 tools for opening and editing images, running processes, PixelMath, astrometry, and channel operations.

A Model Context Protocol server that provides programmatic access to the Windows terminal, enabling AI models to interact with the Windows command line through standardized tools for writing commands, reading output, and sending control signals.

A comprehensive TypeScript boilerplate MCP server featuring domain-driven design and dynamic component loading. Provides example tools for calculations and text processing, system resources, and writing assistance prompts.

Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.

Enables AI agents to interact with the Roark API by writing and executing TypeScript SDK code in an isolated sandbox, with built-in documentation search to guide those tasks.

Suggests the latest stable package versions when writing code.

Enables AI assistants to access SAP ADT APIs for reading, writing, debugging, deploying, and testing ABAP code through natural language or DSL automation.

Enables LLMs to interact with MCP servers by writing TypeScript/JavaScript code instead of direct tool calls. Provides a code execution sandbox that accesses MCP servers through HTTP proxy endpoints.

A CLI tool that sets up a Model Control Protocol server and deploys it to Cloudflare Workers, allowing you to quickly create custom tools for your Cursor Agent just by writing TypeScript functions.

An MCP server that provides tools for reading, writing, and editing files on the local filesystem.

Enables AI agents to perform low-level Windows process memory research, including process attachment, memory scanning, reading/writing, pointer chasing, remote code execution, and inline hooking via MCP tools and Lua scripting.

Enables AI to directly control Cheat Engine for process attachment, memory scanning, reading/writing, address list management, speed hack, Lua/Auto Assembler execution, and CT file management via the MCP protocol.

Enables agents to reach pump.fun's full API surface — official developer routes, bonding-curve reads, Solana RPC, and unsigned trade building — by writing JavaScript against one merged OpenAPI document, using just two tools (search and execute). Model-authored code runs in a network-less sandbox, so multi-step questions resolve in a single round trip while credentials stay on the host Worker.

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.

Enables AI assistants to fully control the VICE Commodore 64 emulator, including running programs, viewing the screen, sending input, reading/writing memory, setting breakpoints, and assembling 6502 code.

MCP server for delegating coding tasks to local Ollama models. Supports listing models and executing tasks with file writing capabilities.

Enables fully local, end-to-end research automation: reproducing papers from PDF into runnable code and verified artifacts, writing papers section-by-section with LaTeX/PDF/DOCX export, and running an ideate→debate→design→verdict research pipeline—all without an API key.

MCP server for Cheat Engine 7.6 that enables AI agents to perform memory scanning, reading/writing, process manipulation, debugging, and code injection via a Lua named pipe bridge.

It lets any MCP-capable AI agent operate a real Siemens TIA Portal project — configuring hardware and networks, creating blocks, writing SCL, compiling, simulating via PLCSIM Advanced, and reading results back for verification. It runs locally alongside TIA Portal through Openness, so agents work with live projects rather than code snippets.

Lets an agent query Linear by writing JavaScript that the server runs in a throwaway worker, exposing schema introspection and a single request helper so only the return value comes back. Runs read-only by default, refusing mutations before any request leaves the process unless explicitly enabled.

Lets AI clients control and program a Commodore 64, including running programs, reading/writing memory, rendering graphics, playing sound, and switching between C64 Ultimate hardware and VICE emulation.

Enables AI assistants to query Indian market data from Dhan by writing Python scripts that run in an isolated subprocess, returning only printed output. It also runs scheduled, model-authored market watchers that email alerts when conditions become true, without consuming AI tokens.

Enables ChatGPT to read a personal Telegram account's folders and conversations, prepare drafts, and carry out delegated actions by writing and running JavaScript/TypeScript against the full mtcute SDK through a single MCP tool. Supports one account and one owner per installation, with code-and-2FA login and encrypted session storage.

Enables AI assistants to work with the sevDesk API through just two tools, search and execute, by writing small JavaScript snippets that run in a local sandbox instead of exposing one tool per endpoint. It is an early-development, open-source local server that is not yet usable with a real sevDesk account.

Enables AI-powered video creation by writing React/Remotion code, compiling it in real-time, and rendering the result as a live video inline in the chat.

CodeMesh enables AI agents to orchestrate any MCP server by writing TypeScript code, with self-improving capabilities through auto-augmentation of tool documentation.

Enables AI assistants to safely manage beginner C homework on Windows by reading/writing GBK-encoded files, compiling with MinGW, running with timeout protection, and archiving mistakes to Obsidian.

Enables LLMs to work with local Python environments by listing environments and installed packages, installing dependencies, and running code or scripts. Also supports reading, writing, and listing files within a sandboxed working directory.

Enables ChatGPT and other MCP clients to discover writing skills, safely read and edit files in a shared workspace, run background tasks, and delegate work to ChatGPT sub-agents.

MCP server that lets AI agents discover and call R and Python statistical functions without writing code.

A server that likely facilitates integration between GitHub Copilot and Visual Studio Code, though the README lacks specific details about its functionality.

A local MCP server for reading, writing, and executing Jupyter notebooks using jupyter_client for direct kernel communication.