Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Incident forensic with log files analyzing
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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.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"journald": {
"command": "uvx",
"args": [
"journald-mcp-server"
]
}
}
}Run this in your terminal
claude mcp add journald -- uvx journald-mcp-serverPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"journald": {
"command": "uvx",
"args": [
"journald-mcp-server"
]
}
}
}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": {
"journald": {
"type": "stdio",
"command": "uvx",
"args": [
"journald-mcp-server"
]
}
}
}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 9, 2026
The registry name was verified with the GitHub account james116blue, 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 (0.1.0) reached the registry 11 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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:↓ Downloads per weeki★ 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.
An MCP server for accessing systemd journal logs.
# Install dependencies
uv sync
Run as non-root: Give the user systemd-journal group access usermod -aG systemd-journal $USER
Run the server with:
uv run server.py [OPTIONS]
--transport: Transport protocol to use (stdio, sse, or streamable-http). Default: stdio--port: Port to listen on for HTTP transport (ignored for stdio transport). Default: 3002--log-level: Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL). Default: INFO python server.py
python server.py --transport streamable-http --port 8080
python server.py --transport sse --port 3000
python server.py --log-level DEBUG
The server provides the following MCP resources and tools:
journal://units: List unique systemd units from journal logs (all accessible time)journal://syslog-identifiers: List unique syslog identifiers from journal logs (all accessible time)journal://first-entry-datetime: Get the datetime of the first entry in the journaljournal://units/{since}/{until}: List unique systemd units within a specified time rangejournal://syslog-identifiers/{since}/{until}: List unique syslog identifiers within a specified time rangeget_journal_entries: Get journal entries with datetime filteringsince (optional), until (optional), unit (optional), identifier (optional), message_contains (optional), limit (default: 100)since="2 hours ago", message_contains="error"get_recent_logs: Get recent journal logs from the last N minutesminutes (default: 60), unit (optional), limit (default: 50)The server uses natural language datetime parsing via the dateparser library. Supported formats include:
All times are interpreted as UTC and returned in human-readable format: "YYYY-MM-DD HH:MM:SS UTC"
This project uses:
journald-mcp-server/
├── journald_mcp_server/ # Main package │ ├── init.py │ ├── server.py # MCP server implementation │ └── datetime_utils.py # Datetime parsing and formatting utilities ├── tests/ # Test suite │ ├── init.py │ └── test_server.py ├── server.py # Entry point wrapper ├── pyproject.toml └── README.md
python -m pytest tests/