artcraft-mcp
Enables Hermes Agent (or other MCP clients) to interact with ArtCraft's subscription API for model discovery, cost estimation, reference ingestion, image/video generation, and task result retrieval.
README
artcraft-mcp
An ArtCraft subscription MCP server built for Hermes Agent. It gives Hermes tools for live model discovery, cost estimation, reference ingestion, image/video generation, local task lookup, and resumable result retrieval.
It can also be used by any agent or client that supports local MCP servers over stdio.
Contributions are welcome. If you find an error, an outdated ArtCraft parameter, or a way to make the adapter safer or more useful, please open an issue or submit a pull request. Help testing and optimizing the tool across different setups is especially valuable.
This MCP does not control the ArtCraft desktop app or its interface. It reads the authenticated session saved by the installed ArtCraft app, optionally reads ArtCraft’s local task database, and calls ArtCraft’s Storyteller subscription API directly.
⚠ Image and video generation spend ArtCraft subscription credits. Discover live parameters, estimate cost, and obtain explicit approval before generation.
Hermes quick start
1. Install the MCP
Clone the repository somewhere outside your Hermes profile directory:
git clone https://github.com/smoermeow/artcraft-mcp.git ~/src/artcraft-mcp
cd ~/src/artcraft-mcp
python3 -m venv .venv
.venv/bin/python -m pip install --upgrade pip
.venv/bin/python -m pip install -r requirements.txt
.venv/bin/python -m unittest -v
2. Add it to a Hermes profile
./scripts/setup-hermes.sh PROFILE
Replace PROFILE with the Hermes profile that should receive the ArtCraft tools. The helper registers this clone’s absolute Python and server paths, sets a 300-second MCP timeout, and tests tool discovery.
3. Reload and verify
Run /reload-mcp in Hermes or restart that profile’s CLI/gateway process. From a terminal:
hermes --profile PROFILE mcp test artcraft
hermes --profile PROFILE mcp list
Hermes should discover 18 ArtCraft tools. Paste-ready Hermes prompts and model-call examples are in docs/USAGE.md.
Manual Hermes configuration
ROOT="$HOME/src/artcraft-mcp"
hermes --profile PROFILE mcp add artcraft \
--command "$ROOT/.venv/bin/python" \
--connect-timeout 30 \
--args "$ROOT/server.py"
hermes --profile PROFILE config set mcp_servers.artcraft.timeout 300
hermes --profile PROFILE mcp test artcraft
Equivalent YAML is available at examples/hermes-mcp.yaml.
How it works
ArtCraft stores its active subscription session here on macOS:
~/Library/Caches/ai.artcraft.app/.cookies
The server reads only visitor and session cookies belonging to api.storyteller.ai. It never returns their values from MCP tools. It uses those credentials to call ArtCraft’s subscription API, not to operate the desktop UI. See SECURITY.md.
Hermes starts server.py as a local subprocess and exchanges MCP messages through standard input/output (stdio). No local port or public web server is opened.
Requirements
- macOS with ArtCraft installed and signed in.
- Python 3.11+.
- Hermes Agent, or another MCP client with local stdio support.
Find models and parameters
Do not guess model options. Ask Hermes to call:
artcraft_list_image_models
artcraft_list_video_models
The live records expose exact model IDs and model-specific resolutions, durations, aspect ratios, batch limits, reference limits, and audio/keyframe support. Next call the appropriate spend-free estimator:
artcraft_estimate_image_cost
artcraft_estimate_video_cost
See docs/USAGE.md for complete Hermes prompts covering discovery, estimates, references, paid generation, and result retrieval.
Tools
| Group | Tools |
|---|---|
| Health/account | artcraft_check_connection, artcraft_detect_installation, artcraft_credential_status, artcraft_get_user_status |
| Models/costs | artcraft_list_image_models, artcraft_list_video_models, artcraft_estimate_image_cost, artcraft_estimate_video_cost |
| Tasks/results | artcraft_list_tasks, artcraft_get_task, artcraft_list_subscription_jobs, artcraft_get_task_result, artcraft_wait_for_result |
| References | artcraft_upload_reference_image, artcraft_upload_reference_audio, artcraft_upload_reference_video |
| Paid generation | artcraft_generate_image_subscription, artcraft_generate_video_subscription |
Other MCP clients
The server is standard MCP over stdio. Configure another compatible agent/client to run:
/path/to/artcraft-mcp/.venv/bin/python /path/to/artcraft-mcp/server.py
Tool behavior and safety requirements are the same. Client-specific configuration formats differ.
Safety boundary
- Read-only discovery and estimates do not spend credits.
- Uploading a new reference writes to the ArtCraft account and requires explicit approval.
- Paid generation requires explicit approval after cost estimation.
- Never commit cookies, ArtCraft databases, logs,
.envfiles, subscription tokens, private media, or private prompts.
Tests
.venv/bin/python -m unittest -v
GitHub Actions runs the same test suite for pushes and pull requests.
Attribution
This adapter was informed by ArtCraft PR #1649, “[BETA] Desktop app MCP stdio layer”, authored by tanish2k09. See NOTICE.md for the specific patterns independently implemented here.
License
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.