"files and folders" matching MCP servers:

A comprehensive MCP server providing tools for AI agents to interact with code, including reading symbols, importing modules, replacing text, and sending OS notifications.

Enables agents to quickly find and edit code in a codebase with surgical precision. Find symbols, edit them everywhere with tools for reading code blocks, searching/replacing text, and making precise line-based modifications.

A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.

Enables Claude.ai to interact with the Cursor editor to read files, write code, get selections, and more.

Enables coding agents to open files and git diffs directly in VS Code, allowing users to review code changes without leaving their conversation.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.

Context compiler for AI coding agents that indexes TypeScript codebases to extract and serve only the relevant symbols and files for a task, reducing token usage and search overhead.

Enables AI coding agents to conserve tokens by enforcing rules like delegating heavy work to subagents, checkpointing before token limits, and grepping before reading files.

A project intelligence platform for AI coding agents that scans, audits, generates, and monitors context files (CLAUDE.md, AGENTS.md, etc.) with drift detection and repair capabilities.

Enables claude.ai, including free users, to act as a coding agent on your own machine, allowing file edits, shell commands, and git operations within explicitly chosen project folders. It provides a secure local MCP server exposed as a custom connector with OAuth-based consent.

A token-efficient, codebase-aware AI agent runtime that provides MCP tools for starting runs, getting run states, explaining code, and finding files.

Connects MCP-compatible AI clients and agents to one durable Project Brain plus controlled access to authorized project folders on your own machine. Enables file editing, terminal and Git operations, project intelligence, browser automation, and local MCP server federation, all scoped to explicit workspace grants.

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 prompt and code optimization using DSPy and MCP, with tools for optimizing agent files, specifications, and skills.

Exposes opencode's coding agent and shell as MCP tools, enabling MCP-only AI clients to execute shell commands, manage files, and run agent sessions with async job handling.

This self-hosted MCP server connects an MCP client such as ChatGPT to approved local project folders, enabling file reading and editing, code search, shell command execution, and Git worktree workflows without uploading code to a third party. It also supports mounting external stdio or Streamable HTTP MCP servers as dynamic capabilities.

Provides Dev Container Features that install code intelligence (LSP) and repository knowledge search (Orama) MCP servers into any dev container, enabling coding agents to perform go-to-definition, find references, and hybrid search over project files.

A production-ready MCP server that exposes Aider's code editing capabilities via WebSocket, enabling natural language commands to create and edit files with isolated workspaces.

Enables agent-style remote development over SSH with file operations and command execution, exposing native tools for searching, editing, and transferring files on remote machines.