"Writing about MCP" matching MCP servers:

Enables reading, searching, editing, and writing files in legacy encodings such as GBK, Big5, Shift-JIS, and Windows codepages, with automatic detection and preservation of the original encoding.

Enables reading, writing, and manipulation of Bike outlines on macOS through natural language, using AppleScript for local document management.

Integrates CopyQ clipboard manager with LLM agents, enabling reading, writing, searching, and managing clipboard items organized in tabs with tags and notes through a unified interface.

Searches and browses local Claude Code and Cowork session histories stored on your machine, enabling questions about past work without uploading data.

Enables secure filesystem operations with directory sandboxing and optional read-only mode. Supports file reading/writing, directory management, file searching, and text operations while restricting access to specified directories.

MCP server for reading and writing Excel (xlsx) files using SheetJS, providing tools to list sheets, read data, create files, add sheets, and update cells.

MCP server for writing Markdown report fragments to files with path safety and SHA-256 verification.

An MCP server that exposes filesystem operations — listing directories, reading, writing, and searching files — as tools an LLM can discover and invoke at runtime.

Enables saving and managing files in a sandboxed local folder via MCP, with tools for listing, reading, writing, appending, searching, moving, and deleting files and directories.

Gives AI assistants direct control of a reMarkable tablet over SSH, enabling listing notes, uploading PDFs, exporting handwriting, and writing on pages via a single MCP tool.

A Model Context Protocol server that provides AI agents with secure access to local filesystem operations, enabling reading, writing, and managing files through a standardized interface.

Data-first MCP server for reading and writing spreadsheets (.xlsx, .csv, .ods) - cell-level ops + DuckDB SQL engine.

Enables reading, writing, appending, and listing files, restricted to explicitly allowed directories with safety checks against path traversal and symlink escapes.

Enables local file management through natural language interactions using the Gemini API, with tools for listing, reading, writing, deleting, and updating files.

Provides AI assistants with unified file operations via MCP, supporting Excel, PDF, Word, and SQLite file reading, writing, and querying.

Enables LLMs to securely SSH into remote servers, execute commands, and manage files via SFTP including listing, reading, writing, deleting, and renaming files.

Provides safe local file operations through MCP, including reading, writing, searching, organizing, and protected deletion with configurable path restrictions.

A Model Context Protocol (MCP) server that enables AI assistants to perform comprehensive file operations including finding, reading, writing, editing, searching, moving, and copying files with security validations.

Creates and edits CapCut desktop drafts locally by writing project files, enabling timeline manipulation through MCP tools.

An MCP server that allows Claude AI to perform filesystem operations including reading, writing, listing, moving files, and searching directories within specified allowed paths.

Enables seamless reading, writing, and analyzing of Excel files through Model Context Protocol, with features for worksheet management, structure analysis, and automated caching.

A lightweight MCP server for basic file operations, enabling reading, writing, and listing files securely via the Model Context Protocol.

Enables AI assistants to learn file organization rules, propose destinations for content, and manage those rules through MCP stdio tools, without writing files itself.

An MCP server for AI-assisted novel writing that manages project structure, tracks plot holes and foreshadowing, audits timeline continuity, and provides writing analytics and prompt generation.

MCP server for reading and writing data files (Excel, PDF, CSV, JSON, text) with safe write rules and provenance tracking.

Enables reading, writing, editing, and converting Office documents (ODT, DOCX, ODS, XLSX, PDF, etc.) using MCP tools, with no external dependencies.

Exposes GroupDocs.Metadata as AI-callable tools for reading, searching, writing, and removing metadata in documents.

An MCP server that lets AI agents compress images, PDFs, video, audio, documents, and archives, writing the smaller versions back to disk via the MiCompress service.

A Model Context Protocol server that enables enhanced file system operations including reading, writing, copying, moving files with streaming capabilities, directory management, file watching, and change tracking.

Provides AI agents with persistent memory over MCP by indexing OKF Markdown notes in a Git repository and exposing tools for searching, reading, writing, organizing, and reviewing knowledge.

A Model Context Protocol server that gives AI assistants secure, sandboxed filesystem access with tools for reading, writing, searching, and managing files and directories.

A read-only MCP server that lets local AI agents inspect open Mac windows, browser tabs, PDFs, clipboard contents, Finder selections, and Messages history so they can answer questions about what the user is currently viewing.

Enables writing and editing files in ISO-8859-1 encoding, automatically converting UTF-8 content to ISO-8859-1 for legacy codebases.

Provides tools for AI clients to scan, match, and scrape TMDB metadata for local media files, with safe sidecar writing or full Jellyfin-style reorganization including file renaming and NFO generation.

MCP server for reading and writing .xls (Excel 97-2003) files, enabling data manipulation, sheet listing, and metadata retrieval.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

Enables editing of STL 3D model files through the Model Context Protocol, providing tools for reading, writing, transforming, and creating primitive shapes.

A local-first MCP server that builds compact voice profiles from writing samples, then compares, rewrites, or generates new text in that voice.

MCP server that allows AI agents to read, search, summarize, and answer questions about local PDF, DOCX, XLSX, and TXT files through five tools.

Enables AI assistants to perform file system operations within a specified project directory, including reading, writing, editing, and managing files, with optional read-only access to reference projects.