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kmshihab7878
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sim-studio

Invoke deployed visual AI workflows as MCP-callable tools.

6|1|Updated Apr 7, 2026
Search Tags:#automation#mcp#orchestration#docker#workflows#ollama#sim-studio
One-click install
npx skills add https://github.com/kmshihab7878/claude-code-setup --skill sim-studio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sim-studio
Source: https://github.com/kmshihab7878/claude-code-setup/tree/main/skills/sim-studio
Command: npx skills add https://github.com/kmshihab7878/claude-code-setup --skill sim-studio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Sim Studio bridges visual workflow design and programmatic execution by letting Claude Code invoke deployed visual agent pipelines as MCP tools, eliminating manual orchestration and custom glue code for multi-step automations.

Core Features & Use Cases

  • MCP Invocation: Deploy visual workflows in Sim Studio and expose them as callable MCP tools for Claude Code to execute.
  • Admin API & GitOps: Export, import, and manage workflows programmatically via the Admin API and automate deployments.
  • Workflow Patterns: Support for research pipelines, data processing, multi-LLM consensus, scheduled monitoring, and webhook-triggered automations.
  • Integrations: Works with local Ollama model providers and runs in Docker with a Postgres database for persistence.
  • Troubleshooting & Ops: Guidance for starting/stopping services, viewing logs, and validating MCP server registration in Claude Code.

Quick Start

Call the sim-studio MCP tool research_topic with a topic phrase to run a deployed research pipeline and return a concise summary.

Frequently Asked Questions about sim-studio

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I invoke visual AI workflows as MCP tools to automate multi-step tasks?▼

To invoke visual AI workflows as MCP tools, you deploy pipelines in Sim Studio and expose them for Claude Code to execute, eliminating manual orchestration and custom glue code for multi-step automations.

Can I use local Ollama models with Docker for orchestrating visual agent pipelines?▼

Yes, you can use local Ollama model endpoints as LLM providers when orchestrating visual agent pipelines, running locally in Docker with a Postgres database for persistence.

Do I need an Admin API key to manage and deploy visual workflows programmatically?▼

Yes, an accessible Admin API key is required to export, import, and manage visual workflows programmatically, enabling automated GitOps deployments for your pipelines.

What automation patterns are supported by local visual workflow orchestration?▼

Local visual workflow orchestration supports research pipelines, data processing, scheduled monitoring, webhook-triggered automations, and multi-LLM consensus scenarios through deployed agent pipelines.

How do I validate MCP server registration and troubleshoot local workflow execution?▼

To validate MCP server registration and troubleshoot execution, use the provided operational guidance for starting and stopping Docker compose services and viewing logs to identify issues.

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