"How to add, remove, and edit files on a local laptop" matching MCP servers:

A multi-agent system that connects a math server and weather server, allowing users to perform mathematical operations and retrieve weather information based on the numerical results.

semantic-edit-mcp

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

A local, zero-dependency MCP server that cuts coding-agent round-trips by aggregating search, read, edit, exec, git, and savings tools into single, validated calls, with cost tracking and no data leaving the machine.

Provides hashline-based file editing using line-addressed edits and content hashes for integrity verification. It enables LLMs to perform precise file modifications while ensuring edits are rejected if the file content has changed since the last read.

Enables LLMs to interact with and control the Pulsar text editor through a variety of file and text manipulation commands. It allows for tasks like code editing, context retrieval, and project navigation using either a built-in chat panel or external MCP clients.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables any LLM to drive your local Codex CLI in a sandboxed workspace, running coding tasks and generating images without needing an API key.

A local development MCP server that exposes MySQL databases to VSCode and Copilot CLI with read-only SELECT queries and INSERT/UPDATE operations. It provides secure, schema-specific database access for development environments only.

Enables MCP-compatible AI clients to securely access explicitly authorized local project files and run approved development commands with bounded execution and audit logging.

Gives an LLM a secure local workspace where it can write files, execute Python in a locked-down Docker container with no network access, and run read-only SQLite queries. Lets the model run, debug, and fix its own code without risking the host machine.

Create sandboxed local development environments directly from Github and execute tests, see coverage and more! Supports Python, Node, Bun and many test runners.

Enables Codex to delegate coding tasks to a locally hosted Qwen model through an MCP tool, which can read, write, patch, test, and inspect git diffs inside an allowed workspace.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

Secure agent coding runtime for local Git repos with policy enforcement, RBAC, sessions, approval workflow, and sandboxed writes, optionally connectable to ChatGPT via Secure MCP Tunnel.

Enables supervised PowerShell execution on Windows, allowing the DeepSeek agent to run local commands and manage files safely through a single tool.

A minimal MCP server for running Python scripts on a remote machine over HTTP, exposing tools to Claude for script discovery, execution, and job status tracking.

A Windows proof-of-concept MCP server that connects ChatGPT developer-mode to a local Codex CLI via Secure MCP Tunnel, exposing a small set of read-only, allowlisted tools in an isolated workspace.

A runtime-free MCP server that converts source code into AST🌲, regardless of language.

Enables AI assistants to securely inspect, modify, and manage local projects with trusted filesystem access, safe Git operations, controlled task execution, and developer runtime process management over stdio or HTTP.

Provides 18 tools including calculator operations (add, subtract, multiply, divide, power, sqrt, log, trigonometric functions) and secure sandboxed file operations (read, write, append, delete, list) for LangGraph agents and MCP clients. Features async support, YAML configuration, comprehensive logging, and path traversal protection.

Routes code generation tasks between local models and Claude Cloud, optimizing cost by handling simple tasks locally and reserving cloud thinking for complex tasks.

A deployable MCP server for Cloudflare Workers or Azure Functions that provides example tools (time, echo, math), prompt templates for code assistance, and configuration resources. Enables AI assistants to interact with edge-deployed services through the Model Context Protocol.

An MCP Server that enables users to interact with Google's On-Demand Scanning API (v1beta1) through natural language, likely providing capabilities for vulnerability scanning and security analysis of containers and artifacts.

Enables ChatGPT web to interact with local Windows/WSL shell and code workspaces via an MCP server, providing file access, shell execution, and snapshot-based workspace management with per-command authorization.

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 an AI agent to run 1C queries, evaluate expressions, execute BSL code, and inspect configuration metadata inside a user's open 1C session, exchanging commands and results through a folder in the user's profile without any intermediate gateway. Results can be gated by user confirmation on the 1C form, and write operations are rolled back unless explicitly permitted.

A minimal MCP server that exposes a run_command tool over stdio, enabling command execution within a Docker container.

Enables MCP-compatible AI tools to connect over stdio to EasyEDA's official local HTTP Bridge, inspect bridge and connected-window status, and execute JavaScript in a specified EasyEDA window.

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.