Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Secure MCP server for sandboxed filesystem operations with document parsing support.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"filesystem": {
"command": "dnx",
"args": [
"FieldCure.Mcp.Filesystem",
"--yes"
]
}
}
}Run this in your terminal
claude mcp add filesystem -- dnx FieldCure.Mcp.Filesystem --yesPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"filesystem": {
"command": "dnx",
"args": [
"FieldCure.Mcp.Filesystem",
"--yes"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"filesystem": {
"type": "stdio",
"command": "dnx",
"args": [
"FieldCure.Mcp.Filesystem",
"--yes"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account fieldcure, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.1.2) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need .NET on your computer.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Agent-Native Google Calendar - manage events, sync, and public booking
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
A secure Model Context Protocol (MCP) server that exposes local filesystem operations to AI clients. Built with C# and the official MCP C# SDK.
dotnet tool install -g FieldCure.Mcp.Filesystem
git clone https://github.com/fieldcure/fieldcure-mcp-filesystem.git
cd fieldcure-mcp-filesystem dotnet build
{
"mcpServers": { "filesystem": { "command": "fieldcure-mcp-filesystem", "args": [ "C:\\Users\\me\\Documents", "C:\\Projects" ] } } }
{
"servers": { "filesystem": { "command": "fieldcure-mcp-filesystem", "args": [ "${workspaceFolder}" ] } } }
| Tool | Description |
|---|---|
read_file | Read file contents (text as UTF-8, binary as base64) |
read_multiple_files | Read multiple files at once with per-file error handling |
read_file_lines | Read a specific range of lines |
convert_to_markdown | Convert one supported document file into a markdown file on disk |
convert_directory_to_markdown | Batch-convert supported document files in a directory to markdown files |
write_file | Create or overwrite a file with atomic write |
append_file | Append content to end of file with auto-newline |
modify_file | Find and replace text (plain text or regex) |
copy_file | Copy a file or directory recursively |
move_file | Move or rename a file or directory |
delete_file | Delete a file or directory |
| Tool | Description |
|---|---|
list_directory | List contents with type markers, sizes, and dates |
create_directory | Create a directory recursively |
directory_tree | Hierarchical tree view with configurable depth |
| Tool | Description |
|---|---|
search_files | Find files by glob pattern |
search_within_files | Search text content across files with line numbers |
get_file_info | File or directory metadata |
The server supports the MCP roots protocol for runtime directory changes. When the client changes roots:
All paths are validated through IPathValidator before any filesystem operation:
. and .. are normalized via Path.GetFullPath().The markdown conversion tools validate both source and output paths through the same sandbox rules. They write converted markdown directly to disk instead of returning full document text through MCP, which is usually more token-efficient than read_file plus write_file.
src/FieldCure.Mcp.Filesystem/
|- Program.cs |- Security/ | |- IPathValidator.cs | \- PathValidator.cs |- Tools/ | |- FileOperationTools.cs | |- DirectoryTools.cs | \- SearchTools.cs \- Utilities/ |- EncodingDetector.cs \- FileSize.cs
dotnet build
dotnet test dotnet pack src/FieldCure.Mcp.Filesystem -c Release
| Supported | Not Yet Supported |
|---|---|
| Text file read/write (UTF-8) | Non-UTF-8 encoding auto-detection |
| Binary file detection + base64 | Streaming for very large files (>100 MB) |
| Atomic writes | File watching / change notifications |
| Glob pattern search | Full-text indexing |
| Regex find-and-replace | Multi-file transactional writes |
| Symlink resolution | Cross-platform symlink creation |
| MCP roots protocol | HTTP transport |
| Document text extraction / markdown conversion for formats supported by DocumentParsers | OCR for scanned documents |
Part of the AssistStudio ecosystem.
MIT