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SwarmUI MCP Agent

@MathewTomberlin

Repository

Basic information

Category

AI & Agents

License

MIT license

Transports

stdio

Author

MathewTomberlin

About SwarmUI MCP Agent

A simple prototype SwarmUI MCP server with accompanying local LangChain Ollama agent

SwarmUI MCP Agent config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

SwarmUI MCP Agent tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is SwarmUI_MCP_Agent?

SwarmUI_MCP_Agent is a prototype MCP (Model Context Protocol) server that integrates with SwarmUI's local API and a LangChain Ollama agent. It exposes SwarmUI's /GenerateText2Image and /GetNewSession endpoints as tools, allowing an LLM agent to generate images from text prompts. The server is built with Node.js, TypeScript, Express, and Axios, while the agent uses Python, LangChain, and Ollama.

How to use SwarmUI_MCP_Agent?

From the SwarmUI_MCP_Agent/src directory, run tsc server.ts && node server.js to start the MCP server. Then ensure SwarmUI is running, and from the root directory run python run.py to launch the Streamlit UI. In the UI, enter the SwarmUI port, select an LLM model, type an image prompt, and click submit.

Key features of SwarmUI_MCP_Agent

  • Exposes SwarmUI image generation as MCP tools
  • Integrates a local Ollama agent (dolphin-mistral)
  • Provides a Streamlit UI for prompt entry
  • Automatically fetches a new session and generates images
  • Generated images saved in SwarmUI's Output directory

Use cases of SwarmUI_MCP_Agent

  • Generating images from natural language prompts via a local agent
  • Experimenting with MCP and LangChain tool‑calling workflows
  • Prototyping an AI‑assisted image generation pipeline
  • Offline image generation using a local SwarmUI instance
  • Testing MCP server integration with Ollama

Frequently asked questions

1

What does SwarmUI_MCP_Agent do?

It acts as a bridge between an LLM agent (running on Ollama) and the SwarmUI image generation API. The agent receives a text prompt, calls the SwarmUI `/GenerateText2Image` endpoint, and returns the generated image.

2

What are the runtime dependencies?

You need Node.js, npm, Python, pip, and an Ollama installation with a model (e.g., dolphin‑mistral). SwarmUI must be running locally.

3

How does the server communicate with SwarmUI?

The MCP server creates an Axios HTTP client that sends POST requests to the SwarmUI API on localhost (default port configurable in code). No authentication is mentioned.

4

Are there any known limitations?

The prototype only exposes the `/GenerateText2Image` endpoint. The model and port are hardcoded and must be changed manually. The agent has a `max_iterations` of 1, and Pydantic input validation is not yet fully functional for multiple inputs.

5

Where are generated images stored?

Images are saved in SwarmUI's `/Output` directory and can also be viewed in SwarmUI's Image History.

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