"Enhance AI Coding Accuracy in Windsurf Code Editor by Codeium" matching MCP servers:

Enables safe, concurrent file system operations with sandboxed directory access control, automatic encoding detection, optimistic locking, and precise code editing capabilities including search-replace and batch operations.

A secure, isolated MCP server providing full code editor functionality for AI pair programming, with Docker-based command execution and Cloudflare Tunnel remote access.

A TypeScript MCP server port of Anthropic's filesystem editing tools, allowing file manipulation via client-approved operations without automated writes to prevent system harm.

A Python-based text editor server built with FastMCP that provides tools for file operations. This server enables reading, editing, and managing text files through a standardized API following a multi-step process.

Enables users to review, edit, and approve AI-proposed file writes in an interactive diff editor before anything touches disk.

Provides safe repository operations, skill reading, command execution, and test detection for coding agents over stdio.

A line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.

Enables efficient JSON file editing with targeted read, write, delete, and deep merge operations using dot notation paths, optimized for managing multilingual projects and large configuration files.

Enables agents to perform bounded binary-file inspection, hashing, search, and diffing within configured roots, and to preview and apply expected-byte-validated patches that produce new output copies while preserving originals. It also reads a user's existing GUI session—active buffer context, selections, and unsaved in-memory bytes—through trusted templates, with mutations to live buffers explicitly disabled.

An open source implementation of the Claude built-in text editor tool versions: text\_editor\_20241022 (Claude 3.5 Sonnet) text\_editor\_20250124 (Claude 3.7 Sonnet)

An experimental MCP server that enables AI assistants to interact with VS Code workspaces through file operations, code execution, and Git management. It also provides tools for Docker integration, project scaffolding, and secure command execution using project-specific configurations.

A comprehensive MCP server that provides AI assistants with tools for file system management, Git integration, and shell command execution. It features specialized code utilities for analysis, formatting, and linting to enhance development workflows within Claude Desktop.

Gives any MCP-compatible AI chat or agent a safe, model-neutral coding runtime with file read/search, structured multi-file patches, command execution, interactive sessions, and git operations, all confined to a single workspace and gated by permission modes.

Enables AI assistants to create, edit, and extract data from Microsoft Word documents programmatically, supporting document creation, content editing, table manipulation, parameter extraction, and template generation.

Enables AI agents to develop within a local project workspace by reading and modifying files, running commands and tests, checking Git state, and persisting progress as history sessions that can be restored in later conversations.

Turns local project directories into persistent MCP workspaces, allowing AI agents to read files, modify code, run commands, manage Git, and save session progress across conversations.

A Rust + Tauri 2 desktop application that turns local project folders into persistent MCP workspaces, enabling AI agents to read files, modify code, run commands and tests, check Git status, and maintain cross-conversation development context through historical checkpoints, with built-in WSS/FRP/Cloudflare tunnels and OAuth for connecting to ChatGPT.

Enables creating, reading, editing, and verifying PDF, Word, Excel, and PowerPoint documents through MCP tools that return structured results. It preserves source files by default for edits and supports local stdio operation without network requests.

A local MCP server that gives AI coding assistants read, write, search, and execute capabilities within a specified project directory. This Windows GUI build simplifies setup by eliminating manual Python, Node.js, or Docker installation.

An MCP server for creating and editing Word, Excel, and PowerPoint documents through AI assistants.