File Merger MCP Server

The File Merger MCP Server is a lightweight, secure utility designed to streamline the process of combining multiple files into a single output file. In many AI development workflows, assistants like Claude may need to aggregate logs, data dumps, or configuration fragments before further processing. This server addresses that pain point by providing a single command‑line tool that handles file concatenation with minimal friction, allowing developers to focus on higher‑level logic rather than boilerplate file handling.

At its core, the server exposes a tool that accepts an array of input paths and a destination path. When invoked, the server reads each file in order, writes their contents sequentially to the output location, and returns a concise summary that includes the total number of files merged and the cumulative size. The operation is intentionally fast, leveraging efficient streaming to avoid loading entire files into memory, which makes it suitable for both small text snippets and large binary blobs. The server also includes a tool that enumerates the directories granted access, reinforcing security by ensuring no unintended file system traversal occurs.

Developers integrating AI assistants can embed this MCP server into their local or cloud‑based toolchains. For example, a Claude workflow that collects sensor data from multiple sources can call to produce a single dataset before invoking a machine‑learning model. Similarly, a CI/CD pipeline might use the server to bundle log files for analysis or archival purposes. Because the MCP interface is declarative, these calls can be scripted within prompts or as part of a larger chain of tool invocations, enabling seamless automation.

What sets this server apart is its blend of simplicity and safety. The single‑command interface eliminates the need for custom shell scripts, while the directory whitelist ensures that only authorized paths are touched. The detailed merge report aids debugging and auditability, giving developers confidence that the operation completed as intended. For teams that prioritize reproducibility and minimal surface area for security vulnerabilities, this MCP server offers a robust solution to a common file‑handling requirement.