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Assiststudio Runner

by fieldcureversion 2.0.4i★ –iRuns on your computer
Registry nameio.github.fieldcure/assiststudio-runner

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

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 --yes

Open in Cursor

Or copy the settings yourself

Paste 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.

Open in VS Code

Or copy the settings yourself

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account fieldcure, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 2192 servers in this category
  • Published to the registry more recently than 11% of the other 2192 servers in this category
  • Basic checks equal to or better than 100% of the other 2192 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Assiststudio Runner safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.0.4) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need .NET on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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

Runs in the cloud★ 7,620MITUpdated 2 months ago
Install

Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 6 days ago
Install

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 3 days ago
Install

README from the maker

Open the README

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.

AssistStudio Runner

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.

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 (same loop used by SubAgentExecutor)
  • Multi-provider LLM support — Claude, OpenAI, Gemini, Ollama, Groq via 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)
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
git clone https://github.com/fieldcure/fieldcure-assiststudio-runner.git

cd fieldcure-assiststudio-runner dotnet build

Requirements

  • .NET 8.0 Runtime 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
# 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:

{

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

Claude Desktop

Add to claude_desktop_config.json:

{

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

VS Code (Copilot)

Add to .vscode/mcp.json:

{

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

From source (without dotnet tool)
{

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

Tools

ToolDescriptionConfirmation
create_taskCreate a task with prompt, schedule, and MCP server configRequired
update_taskModify task fields — partial update, only changed fieldsRequired
delete_taskDelete a task, its executions, and log filesRequired
list_tasksList tasks with filtering and last execution status—
run_taskStart execution (async default, optional 60s wait)Required
get_task_historyQuery execution history with status filtering—
get_execution_statusCheck 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
ModeCommandPurpose
Serveassiststudio-runner serveMCP server (stdio) for task management
Execassiststudio-runner exec Headless execution (called by schtasks)
Configassiststudio-runner config initCreate config template
assiststudio-runner config set-credential Store API key or env var
assiststudio-runner config get-credential Retrieve credential (masked)
Exit Codes (exec mode)
CodeMeaning
0Succeeded
1Failed
2Timed out
3Task not found
4Already running

Scheduling

Cron expressions are automatically mapped to Windows Task Scheduler entries:

ScheduleParameterschtasks
Once at specific timeschedule_once: "2026-04-07T15:30:00+09:00"/SC ONCE /SD 2026/04/07 /ST 15:30
Every 30 minutesschedule: "*/30 * * * *"/SC MINUTE /MO 30
Every 2 hoursschedule: "0 */2 * * *"/SC HOURLY /MO 2
Daily at 9:00 AMschedule: "0 9 * * *"/SC DAILY /ST 09:00
Weekdays at 9:00 AMschedule: "0 9 * * 1-5"/SC WEEKLY /D MON,TUE,WED,THU,FRI /ST 09:00
Monthly on the 1stschedule: "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 Storage

DataLocation
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 keysWindows 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

# 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.

See Also

Part of the AssistStudio ecosystem.

License

MIT

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