The SSE version of the MCP service is modified from the Filesystem MCP server
The SSE version of the MCP service is modified from the Filesystem MCP server. That is what the filesystem sse mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
Node.js server SSE implementing Model Context Protocol (MCP) for filesystem operations.
The server publishes 14 tools. What each one is for:
read_file — Read complete contents of a fileInput — path (string)read_multiple_files — Read multiple files simultaneouslywrite_file — Create new file or overwrite existing (exercise caution with this)Inputs — - path (string): File locationedit_file — Make selective edits using advanced pattern matching and formattingFeatures — - Line-based and multi-line content matchingcreate_directory — Create new directory or ensure it existslist_directory — List directory contents with [FILE] or [DIR] prefixesmove_file — Move or rename files and directoriessearch_files — Recursively search for files/directoriesCase — insensitive matchingInstallation goes through your MCP client rather than a global install: point it at mcp/filesystem on a container image and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Plenty of file and storage access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Filesystem SSE's toolset — read_file, Input, read_multiple_files and 11 more — is a fair guide to whether it matches your workflow. It is maintained by ysthink; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| read_file | Read complete contents of a file |
| Input | path (string) |
| read_multiple_files | Read multiple files simultaneously |
| write_file | Create new file or overwrite existing (exercise caution with this) |
| Inputs | - path (string): File location |
| edit_file | Make selective edits using advanced pattern matching and formatting |
| Features | - Line-based and multi-line content matching |
| create_directory | Create new directory or ensure it exists |
| list_directory | List directory contents with [FILE] or [DIR] prefixes |
| move_file | Move or rename files and directories |
| search_files | Recursively search for files/directories |
| Case | insensitive matching |
| get_file_info | Get detailed file/directory metadata |
| Returns | - Size |
{
"mcpServers": {
"file_system": {
"name": "file_system",
"baseUrl": "http://ip:3001/sse"
}
}
}Configuration as documented by the project. Restart the client after saving.
Scoped local file access — read, write, search and reorganise files in directories you explicitly allow.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.