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Mcp Server Dev

MCP Server

Filesystem & shell access for Claude Desktop

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Updated May 30, 2025

About

A lightweight MCP server that exposes filesystem operations and shell commands to Claude via a Unix socket, enabling developers to manage files and run terminal tasks directly from the AI interface.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MCP Server in Action

The Mcp Server Dev is a lightweight, Unix‑native server that bridges Claude desktop with the local filesystem and shell environment. By exposing a set of JSON‑RPC tools, it gives an AI assistant the ability to inspect, modify, and manipulate files or run arbitrary commands directly from within Claude. This eliminates the need for external scripts or manual intervention, enabling a seamless, interactive development workflow.

At its core, the server runs a filesystem daemon inside a controlled virtual environment. The daemon listens on a Unix socket and performs file operations or shell commands requested by Claude through two high‑level tools: and . The former provides dynamic discovery of all supported actions, while the latter executes any operation with type‑safe parameters and returns structured results, logs, and error messages. This design keeps the tool surface minimal—just two entry points—yet offers a full range of file system manipulation (listing, reading, writing, editing, moving, deleting) and shell execution capabilities.

For developers, this server solves several pain points. First, it consolidates permission handling into a single prompt: Claude only needs to be granted the “Dev” MCP server, and it automatically gains read/write access to a specified directory. Second, the environment is tightly controlled; the daemon runs within a dedicated virtual environment, ensuring that dependencies and permissions are consistent across sessions. Third, every operation is transparently logged with context, so developers can audit changes and debug issues without leaving the AI interface. Finally, rich error handling supplies actionable suggestions when a command fails, reducing trial‑and‑error cycles.

Typical use cases include on‑the‑fly code generation and refactoring, automated test setup, or quick file edits during a debugging session. A developer can ask Claude to “add a new route handler to ” or “run the test suite and report failures,” and the assistant will perform the filesystem edits or shell commands behind the scenes. In continuous integration pipelines, Claude can orchestrate build steps by invoking shell commands and managing artifacts directly through the MCP server. The dynamic discovery feature also means that as new operations are added to the daemon, they become immediately available to Claude without any redeployment.

What sets this MCP server apart is its combination of minimal surface area, strong type safety, and full terminal visibility. By exposing only two generic tools while still offering granular file‑system control, it strikes a balance between usability and power. The server’s architecture—Claude ↔ MCP Server ↔ Unix Socket ↔ Filesystem Daemon—ensures low latency and secure, isolated execution. For any developer looking to embed intelligent automation into their local workflow, the Mcp Server Dev provides a robust, extensible foundation that integrates smoothly with existing AI workflows.