Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Windows-only headless LLM task automation engine with scheduling via Windows Task Scheduler.
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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.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"assiststudio-runner": {
"command": "dnx",
"args": [
"FieldCure.AssistStudio.Runner",
"--yes"
]
}
}
}Run this in your terminal
claude mcp add assiststudio-runner -- dnx FieldCure.AssistStudio.Runner --yesPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"assiststudio-runner": {
"command": "dnx",
"args": [
"FieldCure.AssistStudio.Runner",
"--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": {
"assiststudio-runner": {
"type": "stdio",
"command": "dnx",
"args": [
"FieldCure.AssistStudio.Runner",
"--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 7, 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 (2.0.4) reached the registry 6 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 Windows-only headless LLM task automation engine that executes natural language tasks on schedule and delivers results through configured channels. Built as a Model Context Protocol (MCP) server with the official MCP C# SDK.
serve) for task management, headless CLI (exec) for scheduled executioncreate_task, update_task, delete_task, list_tasks, run_task, get_task_history, get_execution_statusschtasks entriesAllowedTools null = all tools permitted; explicit list for fine-grained control; empty list = safe tools onlyschedule_once with ISO 8601 datetime for single-execution tasks (“in 5 minutes”, “tomorrow at 9am”)dotnet tool install -g FieldCure.AssistStudio.Runner
After installation, the assiststudio-runner command is available globally. The published package is Windows-only because scheduling is implemented via Windows Task Scheduler and credentials are stored in Windows Credential Manager.
git clone https://github.com/fieldcure/fieldcure-assiststudio-runner.git
cd fieldcure-assiststudio-runner dotnet build
When launched in serve mode with no runner.json, Runner automatically scans Windows Credential Manager for known provider API keys and generates the config file. If you use AssistStudio, API keys are already stored — no manual setup needed.
# Create runner.json config template
assiststudio-runner config init
assiststudio-runner config set-credential "Claude" sk-ant-api03-...
assiststudio-runner config get-credential "Claude"
The config file is created at %LOCALAPPDATA%/FieldCure/AssistStudio/Runner/runner.json:
{
"defaultModelName": "Claude", "models": { "Claude": { "providerType": "Claude", "modelId": "claude-sonnet-4-20250514" } }, "fallbackChannel": "runner-alerts", "logRetentionDays": 30 }
Add to claude_desktop_config.json:
{
"mcpServers": { "runner": { "command": "assiststudio-runner", "args": ["serve"] } } }
Add to .vscode/mcp.json:
{
"servers": { "runner": { "command": "assiststudio-runner", "args": ["serve"] } } }
{
"mcpServers": { "runner": { "command": "dotnet", "args": [ "run", "--project", "C:\\path\\to\\fieldcure-assiststudio-runner\\src\\FieldCure.AssistStudio.Runner", "--", "serve" ] } } }
| Tool | Description | Confirmation |
|---|---|---|
create_task | Create a task with prompt, schedule, and MCP server config | Required |
update_task | Modify task fields — partial update, only changed fields | Required |
delete_task | Delete a task, its executions, and log files | Required |
list_tasks | List tasks with filtering and last execution status | — |
run_task | Start execution (async default, optional 60s wait) | Required |
get_task_history | Query execution history with status filtering | — |
get_execution_status | Check real-time status of an execution | — |
User: "Summarize competitor news every morning at 9 AM and send it to Slack"
LLM → create_task (schedule: "0 9 * * 1-5", mcp_servers: [outbox, rag])
User: "Run a test" LLM → run_task (wait: true) → reports result
User: "Exclude weekends" LLM → update_task (schedule: "0 9 * * 1-5")
User: "What were yesterday's results?" LLM → get_task_history (limit: 1)
| Mode | Command | Purpose |
|---|---|---|
| Serve | assiststudio-runner serve | MCP server (stdio) for task management |
| Exec | assiststudio-runner exec | Headless execution (called by schtasks) |
| Config | assiststudio-runner config init | Create config template |
assiststudio-runner config set-credential | Store API key or env var | |
assiststudio-runner config get-credential | Retrieve credential (masked) |
| Code | Meaning |
|---|---|
0 | Succeeded |
1 | Failed |
2 | Timed out |
3 | Task not found |
4 | Already running |
Cron expressions are automatically mapped to Windows Task Scheduler entries:
| Schedule | Parameter | schtasks |
|---|---|---|
| Once at specific time | schedule_once: "2026-04-07T15:30:00+09:00" | /SC ONCE /SD 2026/04/07 /ST 15:30 |
| Every 30 minutes | schedule: "*/30 * * * *" | /SC MINUTE /MO 30 |
| Every 2 hours | schedule: "0 */2 * * *" | /SC HOURLY /MO 2 |
| Daily at 9:00 AM | schedule: "0 9 * * *" | /SC DAILY /ST 09:00 |
| Weekdays at 9:00 AM | schedule: "0 9 * * 1-5" | /SC WEEKLY /D MON,TUE,WED,THU,FRI /ST 09:00 |
| Monthly on the 1st | schedule: "0 9 1 * *" | /SC MONTHLY /D 1 /ST 09:00 |
Scheduled tasks are created with schtasks /IT, so they run in the interactive user context and require the user to be logged in at trigger time.
The schtasks command line uses dnx (NuGet's npx-equivalent, .NET 10+) to fetch and run the worker — dnx FieldCure.AssistStudio.Runner@ .* --yes exec . Stateless MCP servers consumed by the worker (Essentials, Outbox) are spawned the same way, pinned at their current major range. Set RunnerConfig.ToolPath to override with a concrete executable when an offline-from-NuGet workflow is required.
| Data | Location |
|---|---|
| Configuration | %LOCALAPPDATA%/FieldCure/AssistStudio/Runner/runner.json |
| Task database | %LOCALAPPDATA%/FieldCure/AssistStudio/Runner/runner.db (SQLite, WAL) |
| Execution logs | %LOCALAPPDATA%/FieldCure/AssistStudio/Runner/logs/{id}.json |
| API keys | Windows Credential Manager (FieldCure.AssistStudio) |
src/FieldCure.AssistStudio.Runner/
├── Program.cs # Dual-mode entry point (serve/exec/config) ├── Models/ # RunnerTask, TaskExecution, RunnerConfig, ExecutionLog ├── Storage/TaskStore.cs # SQLite storage with WAL mode ├── Credentials/ # ICredentialService + Windows PasswordVault ├── Scheduling/ # CronToSchtasks parser, SchedulerService (schtasks) ├── Execution/ # TaskExecutor (AgentLoop-based), McpServerPool ├── Tools/ # 7 MCP tools for serve mode └── Configuration/ConfigRunner.cs # CLI config subcommands
# Build
dotnet build
dotnet test
dotnet pack -c Release
Runner is purpose-built for the AssistStudio ecosystem. Tasks are typically created through natural language conversations in AssistStudio, which handles workflow design, MCP server selection, and tool permissions automatically.
While Runner can be used standalone with Claude Desktop or VS Code (via serve mode), you'll need to construct task parameters (prompt, MCP servers, allowed tools) manually. For the full experience, use AssistStudio.
Part of the AssistStudio ecosystem.
MIT