# assiststudio-runner [Health: Active]

**Category:** 💻 Developer Tools  
**Repository:** https://github.com/fieldcure/fieldcure-assiststudio-runner  
**GitHub Stars:** 1  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/assiststudio-runner

## Description
Windows-only headless LLM task automation engine with scheduling via Windows Task Scheduler.

## Claude Desktop Quick Installation
Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low):

```json
"mcpServers": {
  "assiststudio-runner": {
    "command": "npx",
    "args": ["-y","assiststudio-runner"]
  }
}
```

## Documentation & README

# AssistStudio Runner

[![NuGet](https://img.shields.io/nuget/v/FieldCure.AssistStudio.Runner)](https://www.nuget.org/packages/FieldCure.AssistStudio.Runner)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/fieldcure/fieldcure-assiststudio-runner/blob/main/LICENSE)

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)](https://modelcontextprotocol.io) server with the official [MCP C# SDK](https://github.com/modelcontextprotocol/csharp-sdk).

## Features

- **Dual-mode operation** — MCP server (`serve`) for task management, headless CLI (`exec`) for scheduled execution
- **7 MCP tools** — `create_task`, `update_task`, `delete_task`, `list_tasks`, `run_task`, `get_task_history`, `get_execution_status`
- **Windows Task Scheduler integration** — cron expressions automatically mapped to `schtasks` entries
- **Shared AgentLoop** — LLM execution powered by [Ai.Execution](https://www.nuget.org/packages/FieldCure.Ai.Execution) (same loop used by SubAgentExecutor)
- **Multi-provider LLM support** — Claude, OpenAI, Gemini, Ollama, Groq via [Ai.Providers](https://www.nuget.org/packages/FieldCure.Ai.Providers)
- **MCP server orchestration** — tasks can bootstrap any MCP servers (Outbox, RAG, Filesystem, custom)
- **Flexible tool control** — `AllowedTools` null = all tools permitted; explicit list for fine-grained control; empty list = safe tools only
- **Secure credentials** — API keys in Windows Credential Manager (DPAPI), shared with AssistStudio
- **Execution logging** — DB summary + detailed JSON logs with full conversation history
- **One-time scheduling** — `schedule_once` with ISO 8601 datetime for single-execution tasks (“in 5 minutes”, “tomorrow at 9am”)
- **Result delivery** — send results via Outbox channels (Slack, Telegram, Email, KakaoTalk, Discord)

## Installation

### dotnet tool (recommended)

```bash
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.

### From source

```bash
git clone https://github.com/fieldcure/fieldcure-assiststudio-runner.git
cd fieldcure-assiststudio-runner
dotnet build
```

## Requirements

- [.NET 8.0 Runtime](https://dotnet.microsoft.com/download/dotnet/8.0) or later
- Windows (required for Task Scheduler and Credential Manager)

## Configuration

### Auto-configuration (recommended)

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.

### Manual Setup

```bash
# Create runner.json config template
assiststudio-runner config init

# Set API key for a provider model
assiststudio-runner config set-credential "Claude" sk-ant-api03-...

# Verify (displays masked value)
assiststudio-runner config get-credential "Claude"
```

The config file is created at `%LOCALAPPDATA%/FieldCure/AssistStudio/Runner/runner.json`:

```json
{
  "defaultModelName": "Claude",
  "models": {
    "Claude": {
      "providerType": "Claude",
      "modelId": "claude-sonnet-4-20250514"
    }
  },
  "fallbackChannel": "runner-alerts",
  "logRetentionDays": 30
}
```

### Claude Desktop

Add to `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "runner": {
      "command": "assiststudio-runner",
      "args": ["serve"]
    }
  }
}
```

### VS Code (Copilot)

Add to `.vscode/mcp.json`:

```json
{
  "servers": {
    "runner": {
      "command": "assiststudio-runner",
      "args": ["serve"]
    }
  }
}
```

### From source (without dotnet tool)

```json
{
  "mcpServers": {
    "runner": {
      "command": "dotnet",
      "args": [
        "run",
        "--project", "C:\\path\\to\\fieldcure-assiststudio-runner\\src\\FieldCure.AssistStudio.Runner",
        "--", "serve"
      ]
    }
  }
}
```

## Tools

| 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 | — |

## Usage

### Conversation Example

```
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)
```

### Execution Modes

| Mode | Command | Purpose |
|------|---------|---------|
| **Serve** | `assiststudio-runner serve` | MCP server (stdio) for task management |
| **Exec** | `assiststudio-runner exec <task-id>` | Headless execution (called by schtasks) |
| **Config** | `assiststudio-runner config init` | Create config template |
| | `assiststudio-runner config set-credential <key> <value>` | Store API key or env var |
| | `assiststudio-runner config get-credential <key>` | Retrieve credential (masked) |

### Exit Codes (exec mode)

| Code | Meaning |
|------|---------|
| `0` | Succeeded |
| `1` | Failed |
| `2` | Timed out |
| `3` | Task not found |
| `4` | Already running |

## Scheduling

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@<major>.* --yes exec <id>`.
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 Storage

| 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`) |

## Project Structure

```
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
```

## Development

```bash
# Build
dotnet build

# Test
dotnet test

# Pack
dotnet pack -c Release
```

## Designed for AssistStudio

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](https://github.com/fieldcure/fieldcure-assiststudio).

## See Also

Part of the [AssistStudio ecosystem](https://github.com/fieldcure/fieldcure-assiststudio#packages).

## License

[MIT](https://github.com/fieldcure/fieldcure-assiststudio-runner/blob/HEAD/LICENSE)

