Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
제작자가 쓴 설명(영어 원문)
MCP server for AI image generation via OpenAI, Stable Diffusion (SD WebUI), or placeholders.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
IMAGE_GENERATION_MCP_KV_STORE_URL, IMAGE_GENERATION_MCP_TOOLS_ALLOW, IMAGE_GENERATION_MCP_TOOLS_DENY, IMAGE_GENERATION_MCP_SERVER_NAME, IMAGE_GENERATION_MCP_INSTRUCTIONS, FASTMCP_LOG_LEVEL, FASTMCP_ENABLE_RICH_LOGGING, IMAGE_GENERATION_MCP_A1111_HOST, IMAGE_GENERATION_MCP_A1111_MODEL, IMAGE_GENERATION_MCP_READ_ONLY, IMAGE_GENERATION_MCP_SCRATCH_DIR, IMAGE_GENERATION_MCP_OPENAI_API_KEY, IMAGE_GENERATION_MCP_GOOGLE_API_KEY, IMAGE_GENERATION_MCP_SD_WEBUI_HOST, IMAGE_GENERATION_MCP_SD_WEBUI_MODEL, IMAGE_GENERATION_MCP_DEFAULT_PROVIDER, IMAGE_GENERATION_MCP_TRANSFORM_CACHE_SIZE, IMAGE_GENERATION_MCP_PAID_PROVIDERS, IMAGE_GENERATION_MCP_STYLES_DIR, IMAGE_GENERATION_MCP_ALLOW_LOCAL_FILE_INPUT, IMAGE_GENERATION_MCP_MAX_INPUT_IMAGE_BYTES, IMAGE_GENERATION_MCP_FETCH_TIMEOUT_S, IMAGE_GENERATION_MCP_TRANSFER_TTL_DEFAULT_S, IMAGE_GENERATION_MCP_TRANSFER_TTL_MAX_S, IMAGE_GENERATION_MCP_TRANSFER_GRACE_TTL_S, IMAGE_GENERATION_MCP_TRANSFER_LEASE_S, IMAGE_GENERATION_MCP_TRANSFER_MAX_UPLOAD_BYTES비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"image-generation": {
"command": "uvx",
"args": [
"image-generation-mcp"
],
"env": {
"IMAGE_GENERATION_MCP_KV_STORE_URL": "your-value",
"IMAGE_GENERATION_MCP_TOOLS_ALLOW": "your-value",
"IMAGE_GENERATION_MCP_TOOLS_DENY": "your-value",
"IMAGE_GENERATION_MCP_SERVER_NAME": "your-value",
"IMAGE_GENERATION_MCP_INSTRUCTIONS": "your-value",
"FASTMCP_LOG_LEVEL": "your-value",
"FASTMCP_ENABLE_RICH_LOGGING": "your-value",
"IMAGE_GENERATION_MCP_A1111_HOST": "your-value",
"IMAGE_GENERATION_MCP_A1111_MODEL": "your-value",
"IMAGE_GENERATION_MCP_READ_ONLY": "your-value",
"IMAGE_GENERATION_MCP_SCRATCH_DIR": "your-value",
"IMAGE_GENERATION_MCP_OPENAI_API_KEY": "your-value",
"IMAGE_GENERATION_MCP_GOOGLE_API_KEY": "your-value",
"IMAGE_GENERATION_MCP_SD_WEBUI_HOST": "your-value",
"IMAGE_GENERATION_MCP_SD_WEBUI_MODEL": "your-value",
"IMAGE_GENERATION_MCP_DEFAULT_PROVIDER": "your-value",
"IMAGE_GENERATION_MCP_TRANSFORM_CACHE_SIZE": "your-value",
"IMAGE_GENERATION_MCP_PAID_PROVIDERS": "your-value",
"IMAGE_GENERATION_MCP_STYLES_DIR": "your-value",
"IMAGE_GENERATION_MCP_ALLOW_LOCAL_FILE_INPUT": "your-value",
"IMAGE_GENERATION_MCP_MAX_INPUT_IMAGE_BYTES": "your-value",
"IMAGE_GENERATION_MCP_FETCH_TIMEOUT_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_TTL_DEFAULT_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_TTL_MAX_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_GRACE_TTL_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_LEASE_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_MAX_UPLOAD_BYTES": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add image-generation --env IMAGE_GENERATION_MCP_KV_STORE_URL=your-value --env IMAGE_GENERATION_MCP_TOOLS_ALLOW=your-value --env IMAGE_GENERATION_MCP_TOOLS_DENY=your-value --env IMAGE_GENERATION_MCP_SERVER_NAME=your-value --env IMAGE_GENERATION_MCP_INSTRUCTIONS=your-value --env FASTMCP_LOG_LEVEL=your-value --env FASTMCP_ENABLE_RICH_LOGGING=your-value --env IMAGE_GENERATION_MCP_A1111_HOST=your-value --env IMAGE_GENERATION_MCP_A1111_MODEL=your-value --env IMAGE_GENERATION_MCP_READ_ONLY=your-value --env IMAGE_GENERATION_MCP_SCRATCH_DIR=your-value --env IMAGE_GENERATION_MCP_OPENAI_API_KEY=your-value --env IMAGE_GENERATION_MCP_GOOGLE_API_KEY=your-value --env IMAGE_GENERATION_MCP_SD_WEBUI_HOST=your-value --env IMAGE_GENERATION_MCP_SD_WEBUI_MODEL=your-value --env IMAGE_GENERATION_MCP_DEFAULT_PROVIDER=your-value --env IMAGE_GENERATION_MCP_TRANSFORM_CACHE_SIZE=your-value --env IMAGE_GENERATION_MCP_PAID_PROVIDERS=your-value --env IMAGE_GENERATION_MCP_STYLES_DIR=your-value --env IMAGE_GENERATION_MCP_ALLOW_LOCAL_FILE_INPUT=your-value --env IMAGE_GENERATION_MCP_MAX_INPUT_IMAGE_BYTES=your-value --env IMAGE_GENERATION_MCP_FETCH_TIMEOUT_S=your-value --env IMAGE_GENERATION_MCP_TRANSFER_TTL_DEFAULT_S=your-value --env IMAGE_GENERATION_MCP_TRANSFER_TTL_MAX_S=your-value --env IMAGE_GENERATION_MCP_TRANSFER_GRACE_TTL_S=your-value --env IMAGE_GENERATION_MCP_TRANSFER_LEASE_S=your-value --env IMAGE_GENERATION_MCP_TRANSFER_MAX_UPLOAD_BYTES=your-value -- uvx image-generation-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"image-generation": {
"command": "uvx",
"args": [
"image-generation-mcp"
],
"env": {
"IMAGE_GENERATION_MCP_KV_STORE_URL": "your-value",
"IMAGE_GENERATION_MCP_TOOLS_ALLOW": "your-value",
"IMAGE_GENERATION_MCP_TOOLS_DENY": "your-value",
"IMAGE_GENERATION_MCP_SERVER_NAME": "your-value",
"IMAGE_GENERATION_MCP_INSTRUCTIONS": "your-value",
"FASTMCP_LOG_LEVEL": "your-value",
"FASTMCP_ENABLE_RICH_LOGGING": "your-value",
"IMAGE_GENERATION_MCP_A1111_HOST": "your-value",
"IMAGE_GENERATION_MCP_A1111_MODEL": "your-value",
"IMAGE_GENERATION_MCP_READ_ONLY": "your-value",
"IMAGE_GENERATION_MCP_SCRATCH_DIR": "your-value",
"IMAGE_GENERATION_MCP_OPENAI_API_KEY": "your-value",
"IMAGE_GENERATION_MCP_GOOGLE_API_KEY": "your-value",
"IMAGE_GENERATION_MCP_SD_WEBUI_HOST": "your-value",
"IMAGE_GENERATION_MCP_SD_WEBUI_MODEL": "your-value",
"IMAGE_GENERATION_MCP_DEFAULT_PROVIDER": "your-value",
"IMAGE_GENERATION_MCP_TRANSFORM_CACHE_SIZE": "your-value",
"IMAGE_GENERATION_MCP_PAID_PROVIDERS": "your-value",
"IMAGE_GENERATION_MCP_STYLES_DIR": "your-value",
"IMAGE_GENERATION_MCP_ALLOW_LOCAL_FILE_INPUT": "your-value",
"IMAGE_GENERATION_MCP_MAX_INPUT_IMAGE_BYTES": "your-value",
"IMAGE_GENERATION_MCP_FETCH_TIMEOUT_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_TTL_DEFAULT_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_TTL_MAX_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_GRACE_TTL_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_LEASE_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_MAX_UPLOAD_BYTES": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"image-generation": {
"type": "stdio",
"command": "uvx",
"args": [
"image-generation-mcp"
],
"env": {
"IMAGE_GENERATION_MCP_KV_STORE_URL": "your-value",
"IMAGE_GENERATION_MCP_TOOLS_ALLOW": "your-value",
"IMAGE_GENERATION_MCP_TOOLS_DENY": "your-value",
"IMAGE_GENERATION_MCP_SERVER_NAME": "your-value",
"IMAGE_GENERATION_MCP_INSTRUCTIONS": "your-value",
"FASTMCP_LOG_LEVEL": "your-value",
"FASTMCP_ENABLE_RICH_LOGGING": "your-value",
"IMAGE_GENERATION_MCP_A1111_HOST": "your-value",
"IMAGE_GENERATION_MCP_A1111_MODEL": "your-value",
"IMAGE_GENERATION_MCP_READ_ONLY": "your-value",
"IMAGE_GENERATION_MCP_SCRATCH_DIR": "your-value",
"IMAGE_GENERATION_MCP_OPENAI_API_KEY": "your-value",
"IMAGE_GENERATION_MCP_GOOGLE_API_KEY": "your-value",
"IMAGE_GENERATION_MCP_SD_WEBUI_HOST": "your-value",
"IMAGE_GENERATION_MCP_SD_WEBUI_MODEL": "your-value",
"IMAGE_GENERATION_MCP_DEFAULT_PROVIDER": "your-value",
"IMAGE_GENERATION_MCP_TRANSFORM_CACHE_SIZE": "your-value",
"IMAGE_GENERATION_MCP_PAID_PROVIDERS": "your-value",
"IMAGE_GENERATION_MCP_STYLES_DIR": "your-value",
"IMAGE_GENERATION_MCP_ALLOW_LOCAL_FILE_INPUT": "your-value",
"IMAGE_GENERATION_MCP_MAX_INPUT_IMAGE_BYTES": "your-value",
"IMAGE_GENERATION_MCP_FETCH_TIMEOUT_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_TTL_DEFAULT_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_TTL_MAX_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_GRACE_TTL_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_LEASE_S": "your-value",
"IMAGE_GENERATION_MCP_TRANSFER_MAX_UPLOAD_BYTES": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
IMAGE_GENERATION_MCP_KV_STORE_URL envIMAGE_GENERATION_MCP_TOOLS_ALLOW envIMAGE_GENERATION_MCP_TOOLS_DENY envIMAGE_GENERATION_MCP_SERVER_NAME envIMAGE_GENERATION_MCP_INSTRUCTIONS envFASTMCP_LOG_LEVEL envFASTMCP_ENABLE_RICH_LOGGING envIMAGE_GENERATION_MCP_A1111_HOST envIMAGE_GENERATION_MCP_A1111_MODEL envIMAGE_GENERATION_MCP_READ_ONLY envIMAGE_GENERATION_MCP_SCRATCH_DIR envIMAGE_GENERATION_MCP_SD_WEBUI_HOST envIMAGE_GENERATION_MCP_SD_WEBUI_MODEL envIMAGE_GENERATION_MCP_DEFAULT_PROVIDER envIMAGE_GENERATION_MCP_TRANSFORM_CACHE_SIZE envIMAGE_GENERATION_MCP_PAID_PROVIDERS envIMAGE_GENERATION_MCP_STYLES_DIR envIMAGE_GENERATION_MCP_ALLOW_LOCAL_FILE_INPUT envIMAGE_GENERATION_MCP_MAX_INPUT_IMAGE_BYTES envIMAGE_GENERATION_MCP_FETCH_TIMEOUT_S envIMAGE_GENERATION_MCP_TRANSFER_TTL_DEFAULT_S envIMAGE_GENERATION_MCP_TRANSFER_TTL_MAX_S envIMAGE_GENERATION_MCP_TRANSFER_GRACE_TTL_S envIMAGE_GENERATION_MCP_TRANSFER_LEASE_S envIMAGE_GENERATION_MCP_TRANSFER_MAX_UPLOAD_BYTES env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 pvliesdonk 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: IMAGE_GENERATION_MCP_OPENAI_API_KEY, IMAGE_GENERATION_MCP_GOOGLE_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.12.1)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv), Docker도 있어야 해요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Multi-provider image generation MCP server built on FastMCP. Generate images from Claude Desktop, Claude Code, or any MCP client using OpenAI, Google Gemini, Stable Diffusion (SD WebUI), or a zero-cost placeholder provider.
[Documentation](https://pvliesdonk.github.io/image-generation-mcp/) | [Config wizard](https://pvliesdonk.github.io/image-generation-mcp/latest/configuration-generator/) | [PyPI](https://pypi.org/project/image-generation-mcp/) | [Docker](https://github.com/pvliesdonk/image-generation-mcp/pkgs/container/image-generation-mcp)
gpt-image-2, gpt-image-1.5, dall-e-3), Google Gemini (gemini-3.1-flash-image, gemini-3-pro-image, gemini-3.1-flash-lite-image), SD WebUI (Stable Diffusion / Forge / reForge), and a zero-cost placeholder for testing.style_profile (strengths, prompt grammar, lifecycle); list_providers includes a top-level warnings array for deprecated models. See Model Catalog.provider="auto" routes by prompt content (text/logo → OpenAI, photoreal/anime → SD WebUI, draft → placeholder).image://{id}/view?format=webp&width=512&crop_x=... resizes / re-encodes / crops on demand without re-generating.task=True (poll for status); short OpenAI calls stream progress in the foreground.app: resources..deb/.rpm with hardened systemd, OIDC + bearer auth, persistent EventStore for HTTP session resumability.With this server mounted in an MCP client, you can ask:
gpt-image-1.5 for typography-aware photorealism.generate_image with provider="sd_webui" and a stylised checkpoint like dreamshaperXL.image://{id}/view?width=512&height=512&crop_x=... resource transforms.image://list resource and the MCP Apps gallery viewer.transform_image with the gallery image_id as a reference (image-to-image via Gemini).pip install image-generation-mcp
If you add optional extras via the PROJECT-EXTRAS-START / PROJECT-EXTRAS-END sentinels in pyproject.toml, document them below:
| Extra | Includes | Use when |
|---|---|---|
mcp | fastmcp[tasks]>=3.0,<4 | Background-task support (task=True), required for long SD generations. |
openai | openai>=1.0 | Enables the OpenAI provider. |
google-genai | google-genai>=1.0 | Enables the Gemini provider. |
all | fastmcp[tasks] + openai + google-genai | Everything except SD WebUI (which is HTTP-only, no extra needed). |
Example: pip install image-generation-mcp[all].
git clone https://github.com/pvliesdonk/image-generation-mcp.git
cd image-generation-mcp uv sync --all-extras --all-groups
docker pull ghcr.io/pvliesdonk/image-generation-mcp:latest
To run the newest merged code instead of the newest release, use the rolling edge tag. It is rebuilt on every merge to main and carries no version identity. See Image tags for the full tag list.
docker pull ghcr.io/pvliesdonk/image-generation-mcp:edge
A compose.yml ships at the repo root as a starting point. Copy .env.example to .env, edit, and docker compose up -d.
To attach a remote Python debugger (development only; the protocol is unauthenticated), see Remote debugging.
Download .deb or .rpm packages from the GitHub Releases page. Both install a hardened systemd unit; env configuration is sourced from /etc/image-generation-mcp/env (copy from the shipped /etc/image-generation-mcp/env.example).
Download the .mcpb bundle from the GitHub Releases page and double-click to install, or run:
mcpb install image-generation-mcp-<version>.mcpb
Claude Desktop prompts for required env vars via a GUI wizard, with no manual JSON editing needed.
For manual Claude Desktop configuration and setup options, see Claude Desktop deployment.
Artifacts ship on three channels. Each row lists exactly what that channel publishes.
| Channel | Version identity | Artifacts |
|---|---|---|
edge (rolling) | None; the commit is the identity | Docker image :edge rebuilt on every merge to main; .mcpb bundle as the mcpb-bundle-edge workflow artifact; Claude Code plugin .zip as the plugin-zip-edge artifact; rolling unstable docs version. It leaves no git tag, GitHub release, or PyPI entry behind. |
| Pre-release | vX.Y.Z-rc.N, computed and reviewed in its release pull request | PyPI (as the pre-release X.Y.ZrcN); GitHub release with wheels, sdist, .deb/.rpm packages, .mcpb bundle, plugin .zip, and SBOM attached; Docker image under its immutable vX.Y.Z-rc.N tag plus the ordering-aware rolling rc tag. Skips the plugin marketplace, the MCP registry, and the docs deploy. |
| Stable | vX.Y.Z | Everything: PyPI, Docker (version tag plus ordering-aware latest / vX / vX.Y), .deb/.rpm, GitHub release assets (wheels, sdist, .mcpb bundle, plugin .zip, SBOM), plugin marketplace and MCP registry entries (when the release is the newest stable), versioned docs with an ordering-aware latest alias. |
Pre-releases reach PyPI so that a candidate's .mcpb bundle installs: the bundle points at PyPI rather than carrying the code. Ordinary installers never see them, because a PEP 440 resolver skips pre-releases unless the requirement pins one or you pass --pre. Ask for a candidate by name with pip install image-generation-mcp==X.Y.ZrcN. PyPI spells it in the PEP 440 canonical form, while tags use SemVer. Rolling pointers are ordering-aware, so a patch release cut from an old release/X.Y branch never moves latest-style tags back to older content, and a candidate for an already-released version never moves rc. See Release process for the full model.
image-generation-mcp serve # stdio transport
image-generation-mcp serve --transport http --port 8000 # streamable HTTP
For library usage (embedding the domain logic without the MCP transport), import from the image_generation_mcp package directly. See the project's domain modules under src/image_generation_mcp/ for entry points.
The server registers a built-in get_server_info tool (via fastmcp_pvl_core.register_server_info_tool) so operators can confirm the deployed version with a single MCP call. The default response carries server_name, server_version, and core_version. Servers that talk to a remote upstream wire upstream version reporting inside the DOMAIN-UPSTREAM-START / DOMAIN-UPSTREAM-END sentinel in src/image_generation_mcp/server.py; see CLAUDE.md for the wiring pattern.
Core environment variables shared across all fastmcp-pvl-core-based services:
| Variable | Default | Description |
|---|---|---|
IMAGE_GENERATION_MCP_KV_STORE_URL | file:///data/state | Persistent-state backend URL shared by every pvl-core subsystem that needs state. memory:// is in-process and lost on restart; file:///path persists on one server; redis://, dynamodb:// and mongodb:// each need their matching extra. When unset, defaults to file:///data/state (the volume family Docker images mount), or to memory://; with a warning; on a host where that directory is not usable. |
FASTMCP_LOG_LEVEL | INFO | Log level for FastMCP internals and app loggers (DEBUG / INFO / WARNING / ERROR / CRITICAL). The -v CLI flag overrides to DEBUG. |
FASTMCP_ENABLE_RICH_LOGGING | true | Set false for plain or structured JSON log output. |
Domain-specific variables go below under Domain configuration.
Callers authenticate via a bearer token or OIDC (mutually exclusive). See the Authentication guide for setup, mapped multi-subject tokens, OIDC, and troubleshooting.
After copier copy and gh repo create --push:
DOMAIN sentinel comment) in this README and in CLAUDE.md. The GENERATED-ENV-TABLE-* regions are not DOMAIN blocks; the config generator owns them and rewrites them on every run.uv sync --all-extras --all-groups.uv run pre-commit install.uv run pytest -x -q && uv run ruff check --fix . && uv run ruff format . && uv run mypy src/ tests/.CI workfl
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요