Best Files AI Skills & MCP Servers

Write files — create, overwrite, append.

Pack files into a compressed context bundle — reduce token usage by extracting only signatures, maps, or full content.

Inline, extract, and move refactoring — inline variables/functions, extract code to new functions, move between files.

File access heatmap — track read/write patterns, detect hot and cold files.

Batch file reading — multiple files in one call, deduplication.

A lightweight, zero-footprint TypeScript MCP server that lets AI assistants interact with the Godot 4.x game engine: not just editing files, but playing the game.

Symbol lookup in source files — find, get, bulk, body.

TypeScript MCP server for Obsidian with a filesystem-first LLM Wiki layer, Dataview / Canvas / Kanban / Mermaid / Marp / Templates tools, and both stdio and Streamable HTTP transports.

MCP server for loading and extracting text from PDF files with chunked pagination and interactive viewer

MCP server for SSH remote access: execute commands, transfer files via SFTP, generate SSH key pairs

MCP server for remote filesystem operations on cloud storage (GCS, S3, etc.)

A Model Context Protocol (MCP) server for searching and retrieving Lottie animations from LottieFiles.

MCP server that formats files using .editorconfig rules

MCP server for SuperDoc. Lets AI agents open, read, edit, and save `.docx` files through the [Model Context Protocol](https://modelcontextprotocol.io).

Local MCP server for .upg files. Read and write product knowledge graphs offline.

MCP server for filesystem access

Upload, organize, and share files in the cloud. Manage folders, set permissions, and search across stored documents.

Discover co-authors and collaboration networks for any researcher. Extract research interests and keywords from scholar profiles to understand expertise. Accelerate literature review and team scouting with unified author insights.

Persistent memory for AI coding agents. Store decisions, lessons, error patterns, and task checkpoints, then retrieve them via semantic search or graph traversal. Features session briefings, memory consolidation, time-based reminders, encrypted profiles, and knowledge compaction.

BGG MCP provides access to BoardGameGeek and a variety of board game related data through the Model Context Protocol. Enabling retrieval and filtering of board game data, user collections, and profiles.

Compare API providers based on real-time pricing, performance benchmarks, and known issues. Evaluate detailed project profiles and past decision data to make informed architectural choices. Identify the most cost-effective and reliable solutions across various service categories

Discover WebSim projects, creators, and trending content with powerful search and filters. Inspect project details, screenshots, comments, and engagement stats to guide research and curation. Track user profiles and activity to surface influential creators and relevant assets.