"Writing about MCP" matching MCP servers:

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.

An MCP server that lets Claude Code delegate coding tasks such as code generation, review, refactoring, and test writing to a local Ollama instance running a Qwen3 model.

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

An MCP server that allows coding agents to look up contextual rules and patterns on demand, providing just-in-time guidance for specific tasks like writing tests or authoring UI.

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.

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

Provides LLM Agents with AI-powered mentorship for code review, design critique, writing feedback, and brainstorming using the Deepseek API, enabling enhanced output in various development and strategic planning tasks.

Enables Codex to delegate frontend development, general implementation, and writing tasks to Gemini agents through task orchestration and dedicated writing tools, with opt-in file write and native tool permissions. Tasks are supervised across MCP disconnections, allowing progress polling, follow-ups, and explicit interruption.

Enables users to run reusable Markdown-defined coding agents from any MCP-compatible client, delegating tasks such as code review, test writing, investigation, and documentation to a chosen coding CLI backend and returning results to the same conversation.

Enables intent-verified development by writing structured intents with constraints and tests, then verifying implementations against them to reduce AI hallucinations.

Enables AI agents to read and edit GameMaker Studio 2 projects over local stdio: writing scripts and object events, creating and renaming assets, placing room instances, setting macros, searching or replacing GML, and building the game, exposed as tools, resources, prompts and project-change notifications.

Enables coding agents to query a parsed graph of a repository and to recall what earlier sessions learned about it, both stored in FalkorDB behind one traversal. It exposes eight MCP tools over stdio for locating symbols, tracing calls and impact paths, and writing or recalling user- and repo-scoped facts, procedures, and handoffs.

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.

Lets MCP-compatible clients run reusable Markdown-defined coding agents with a chosen backend CLI and return their results to the same conversation. It supports delegating tasks such as code review, test writing, investigation, and documentation, with shared settings and optional session continuation.

Multi-system MCP server for reading and writing ABAP source via SAP ADT, with a local web admin, browser-based login, and tools for source navigation, editing, activation, testing, and debugging.

Gives coding agents read-only tools for common Android and Kotlin Multiplatform chores: deobfuscating R8 stack traces, checking Kotlin/AGP/Gradle version compatibility, finding targetSdk behaviour changes, generating KMP actual declarations, converting SVG/VectorDrawable/ImageVector, and writing R8 keep rules. Available as a hosted HTTP server at mcp.androidboss.org/mcp or run locally over stdio.

It lets MCP-compatible clients run reusable Markdown-defined coding agents for tasks such as code review, test writing, investigation, and documentation through a chosen coding CLI backend, with optional model, permission, and session continuation settings.

Enables Markdown-defined, task-specific coding agents to be run from any MCP-compatible client, delegating work such as code review, test writing, investigation, and documentation to a chosen coding CLI and returning results to the same conversation. Agent definitions can be reused across clients, with shared backend, model, and permission settings, and can continue across calls within a session.

Enables AI agents to browse, create, and manage apps on the FreeAppStore platform, including provisioning repositories, writing code, and deploying live.

Provides MCP tools for AI-powered code review, research, and book writing via a fleet of coding agents.

Enables defining reusable, task-specific coding agents in Markdown and running them from any MCP-compatible client through a chosen coding CLI. Supports delegated code review, test writing, investigation, and documentation, with shared backend/model configuration, permission modes, and sessions that continue work across multiple calls.

Enables running reusable Markdown-defined coding agents from any MCP-compatible client through a selected coding CLI backend and returning results to the same conversation. It supports delegating code review, test writing, investigation, and documentation tasks, with shared backend/model settings and optional session continuation.

Local-first MCP server that indexes all projects on your machine and provides coding agents with briefings about each project's stack, services, and run instructions, so they can start sessions with context across all repos. No cloud, no accounts, no telemetry.

MCP server that enables Claude Code to communicate with other Claude Code agents over HTTP, allowing users to ask questions about remote codebases or delegate coding tasks.

An MCP server wrapping the Cursor CLI agent, enabling Claude Code and other MCP clients to delegate tasks to Cursor's AI agent for file writing, bash commands, and codebase queries.

An autonomous code-reasoning agent that parses repositories using tree-sitter, indexes symbols into SQLite, and answers questions about the codebase through an agentic loop powered by Claude via OpenRouter.

A local AST and type-aware Go repository context indexer that uses CHA to map symbols, call graphs, dependencies, and architecture patterns. Built for AI coding agents that need to navigate and reason about large Go codebases without reading raw files.

Delegates test writing to a headless second coding agent in an isolated git worktree, then builds, runs the tests, verifies that only test paths changed, and returns a compact report plus optionally applies the verified tests to your checkout. It also flags failures that point to bugs in the production code rather than the tests, keeping test code and terminal logs out of the main agent's context.

Lets AI coding agents ask a Rails app about itself: 35 read-only tools answer from the schema, models, routes, controllers, views, jobs and conventions, over MCP or the command line, even when the app cannot boot.