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)
Search, retrieve, store, view, measure and de-identify DICOM images over DIMSE and DICOMweb.
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.
AZURE_DICOM_TOKEN, DICOM_AGENT_MCP_DEID_KEY비밀로 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": {
"dicom-agent": {
"command": "uvx",
"args": [
"dicom-agent-mcp"
],
"env": {
"AZURE_DICOM_TOKEN": "your-value",
"DICOM_AGENT_MCP_DEID_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add dicom-agent --env AZURE_DICOM_TOKEN=your-value --env DICOM_AGENT_MCP_DEID_KEY=your-value -- uvx dicom-agent-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"dicom-agent": {
"command": "uvx",
"args": [
"dicom-agent-mcp"
],
"env": {
"AZURE_DICOM_TOKEN": "your-value",
"DICOM_AGENT_MCP_DEID_KEY": "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": {
"dicom-agent": {
"type": "stdio",
"command": "uvx",
"args": [
"dicom-agent-mcp"
],
"env": {
"AZURE_DICOM_TOKEN": "your-value",
"DICOM_AGENT_MCP_DEID_KEY": "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.
이 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 7일 점검
레지스트리 이름이 GitHub 계정 arunmk-ms 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: AZURE_DICOM_TOKEN, DICOM_AGENT_MCP_DEID_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(0.1.0)은 5일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 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.
An MCP (Model Context Protocol) server that gives AI agents one set of tools for both DIMSE archives (C-ECHO, C-FIND, C-GET, C-MOVE, C-STORE) and DICOMweb archives (QIDO-RS, WADO-RS, STOW-RS).
It also includes pixel and geometry tools that work on local files: rendering, statistics, measurement, geometry checks, multiplanar reconstruction (MPR) and de-identification. This is the tool layer for Topic 3 (Validated Tool Execution). The verification loop comes later; see ROADMAP.md.
Not for clinical use. This is a research scaffold. Use only with test or de-identified data.
| Tool | DIMSE node | DICOMweb node | Notes |
|---|---|---|---|
list_nodes | – | – | Lists configured nodes; secrets are never returned |
echo | C-ECHO | GET /studies?limit=1 | Connectivity check |
search | C-FIND | QIDO-RS | Levels: patient, study, series, instance. Supports wildcards and date ranges. Paging uses offset/limit. QIDO has no patient level |
get_metadata | C-FIND (indexed attributes only) | WADO-RS /metadata | Returns keyword-based JSON; bulk data is summarised |
retrieve | C-GET | WADO-RS | Saves files to storage_dir/ / / .dcm |
move | C-MOVE | – | Destination is a node name or an AE title |
store | C-STORE | STOW-RS | Accepts files or directories inside the sandbox |
transfer | retrieve + store | retrieve + store | Works across protocols (e.g. PACS → DICOMweb) |
list_local_files | – | – | Lists cached or allowed DICOM files |
read_local_metadata | – | – | Reads a local file header without pixel data |
| Tool | What it does |
|---|---|
render_image | Renders one frame to a PNG and returns it alongside JSON. Windowing comes from explicit centre/width values, a preset (lung, mediastinum, soft_tissue, abdomen, liver, bone, brain, subdural, stroke), the file's window, or 0.5–99.5 percentiles. Corrects for non-square pixels and MONOCHROME1, and labels the edges with patient directions (for example R/L, A/P) |
pixel_statistics | Reports min, max, mean, standard deviation, percentiles and a voxel count for a frame or a rectangular/elliptical ROI. ROIs can be given in pixels or mm. Values are in modality units (HU for CT) and the ROI area is reported in mm² |
measure_distance | Measures the in-plane distance in mm between two pixels and returns both points in patient (LPS) coordinates |
check_geometry | Groups files into series and checks whether each one can be treated as a volume. Issues are reported with codes such as MISSING_SLICES, NON_UNIFORM_SPACING, DUPLICATE_POSITIONS, MIXED_ORIENTATION, OBLIQUE, SHEARED_STACK and INSTANCE_ORDER_MISMATCH |
render_mpr | Renders an axial, coronal or sagittal slice reformatted from a series that passes check_geometry. The PNG uses true mm aspect and radiological orientation |
deidentify | Writes de-identified copies under storage_dir/deidentified using a subset of the Basic Profile. See De-identification |
Every pixel result includes an input_fingerprint: a SHA-256 hash of the decoded pixels and geometry. It does not change with the transfer syntax, and the verification loop uses it to bind results to their inputs.
| Tool | What it does |
|---|---|
verify_claim | Re-runs pixel_statistics, measure_distance or check_geometry and compares the values the agent intends to report (for example {"mean": 47.2}) with the fresh result. It returns a verdict for each field. The default tolerance is half a unit in the last decimal of the claimed value |
get_verification | Looks up ledger records by id or by fingerprint, and checks the integrity of the hash chain |
See Verification loop.
Each tool carries MCP annotations (readOnlyHint, destructiveHint, idempotentHint) so a harness can decide which tools need approval.
python -m venv .venv
.venv\Scripts\python -m pip install -e ".[dev]"
.venv\Scripts\python -m pip install -e ".[codecs]"
No config file is needed. Pass nodes and paths as arguments in the harness config; add a YAML file only for advanced settings.
| Argument | Meaning |
|---|---|
--node SPEC | Adds a node. Repeatable. See the node spec below |
--storage-dir DIR | Local cache for retrieved files and renders. Default ~/.dicom-agent-mcp/cache |
--allow-path DIR | Extra directory that the local-file and pixel tools may read. Repeatable |
--calling-ae AE | AE title this server uses for DIMSE. Default DICOM_MCP; register it on your PACS |
--verification MODE | off, advisory (default) or enforce. See Verification loop |
--config FILE | Optional YAML file (see below) |
--print-config | Prints the resolved settings and exits. Useful for checking a harness setup |
Node spec: name=URL[;option;option…]
| URL | Node type |
|---|---|
dimse://AE_TITLE@host:port | DIMSE (C-FIND, C-GET, C-MOVE, C-STORE) |
http://… or https://… | DICOMweb base URL (QIDO-RS, WADO-RS, STOW-RS) |
| Option | Meaning |
|---|---|
read-only | store, move and transfer refuse to write to this node |
token-env=VAR | DICOMweb bearer token read from environment variable VAR |
user=NAME;password-env=VAR | DICOMweb basic auth; the password is read from VAR |
no-verify-tls | Skip TLS certificate checks (test servers only) |
transfer-syntax=UID | Transfer syntax requested from WADO-RS. Empty means the server default; the default * keeps the stored encoding |
Examples:
--node orthanc=dimse://ORTHANC@localhost:4242
--node orthanc-web=http://localhost:8042/dicom-web --node "azure=https:// - .dicom.azurehealthcareapis.com/v2;token-env=AZURE_DICOM_TOKEN;read-only"
Secrets never go in arguments. Arguments are visible in process lists and are often committed in mcp.json. Put tokens and passwords in environment variables and pass only the variable name.
With no --node, the server still starts: the local-file and pixel tools work on files under the allowed paths.
Every argument has an environment-variable equivalent, which suits Docker and CI:
| Variable | Equivalent |
|---|---|
DICOM_AGENT_MCP_NODES | --node; several specs separated by spaces |
DICOM_AGENT_MCP_STORAGE_DIR | --storage-dir |
DICOM_AGENT_MCP_ALLOWED_PATHS | --allow-path; several paths separated by ; on Windows or : elsewhere |
DICOM_AGENT_MCP_CALLING_AE | --calling-ae |
DICOM_AGENT_MCP_VERIFICATION | --verification |
DICOM_AGENT_MCP_CONFIG | --config |
Use a file for settings that have no argument: timeouts, max_results, max_volume_voxels, deid_key_env and node descriptions. See config.example.yaml. If ./dicom-agent-mcp.yaml exists in the working directory, it is loaded automatically. Relative paths in a file resolve against the file's directory; relative paths in arguments and environment variables resolve against the working directory.
Precedence: config file, then environment variables, then arguments. Later sources override single values, nodes are merged by name (a --node with the same name replaces the file's node), and allowed paths are combined.
dicom-agent-mcp --node orthanc=dimse://ORTHANC@localhost:4242 # stdio
dicom-agent-mcp --node orthanc=dimse://ORTHANC@localhost:4242 --transport streamable-http --port 8000 dicom-agent-mcp --node orthanc=dimse://ORTHANC@localhost:4242 --print-config # check settings
.vscode/mcp.json){
"inputs": [ { "id": "azureToken", "type": "promptString", "description": "Azure DICOM access token", "password": true } ], "servers": { "dicom": { "type": "stdio", "command": "${workspaceFolder}/.venv/Scripts/dicom-agent-mcp", "args": [ "--node", "orthanc=dimse://ORTHANC@localhost:4242", "--node", "orthanc-web=http://localhost:8042/dicom-web", "--node", "azure=https:// - .dicom.azurehealthcareapis.com/v2;token-env=AZURE_DICOM_TOKEN;read-only", "--storage-dir", "${workspaceFolder}/dicom-cache", "--allow-path", "${workspaceFolder}/inbox" ], "env": { "AZURE_DICOM_TOKEN": "${input:azureToken}" } } } }
{
"mcpServers": { "dicom": { "command": "dicom-agent-mcp", "args": [ "--node", "orthanc=dimse://ORTHANC@localhost:4242", "--allow-path", "C:/data/dicom-inbox" ] } } }
Use absolute paths here: these harnesses may start the server in any working directory. To use a file instead, pass "args": ["--config", "C:/path/to/dicom-agent-mcp.yaml"].
docker-compose up -d # DIMSE on 4242, DICOMweb on http://localhost:8042/dicom-web (compose file not yet tested)
These prompts assume three nodes: orthanc (DIMSE), orthanc-web (DICOMweb) and azure-dicom, for example:
--node orthanc=dimse://ORTHANC@localhost:4242 --node orthanc-web=http://localhost:8042/dicom-web
--node "azure-dicom=https:// - .dicom.azurehealthcareapis.com/v2;token-env=AZURE_DICOM_TOKEN"
The tool the agent is expected to call is shown after each prompt.
| Prompt | Tool |
|---|---|
| "Which DICOM nodes are configured, and which ones are read-only?" | list_nodes |
"Check whether orthanc and azure-dicom are reachable." | echo |
| Prompt | Tool |
|---|---|
"Find all CT studies on orthanc from the last 30 days." | search (C-FIND) |
"List the series in study 1.2.840… on orthanc-web, with modality and number of images." | search (QIDO-RS) |
"Find patients whose name starts with DOE^." | search at patient level (DIMSE nodes only) |
"Show the acquisition parameters for series 1.2.840…: slice thickness, kVp and pixel spacing." | get_metadata |
| Prompt | Tool |
|---|---|
"Download the chest CT series from orthanc into the local cache." | retrieve |
"Send study 1.2.840… from orthanc to the AE title WORKSTATION1." | move (C-MOVE) |
"Upload the files in ./inbox/case42 to orthanc-web." | store (STOW-RS) |
"Copy series 1.2.840… from orthanc to azure-dicom." | transfer (works across protocols) |
| Prompt | Tool |
|---|---|
| "What DICOM files do I have locally?" | list_local_files |
"Read the header of ./dicom-cache/…/x.dcm. Is it compressed? What is the photometric interpretation?" | read_local_metadata |
| Prompt | Tool |
|---|---|
| "Show me slice 40 of that series in a lung window." | render_image (preset) |
| "Render it again with centre 40 and width 400." | render_image (explicit window) |
| "What is the mean HU in a 10 mm circle centred at row 256, column 300?" | pixel_statistics (ellipse in mm) |
| "Give me the minimum, maximum and 95th percentile for the whole frame." | pixel_statistics |
| "How far apart in mm are pixel (120, 200) and pixel (180, 260)?" | measure_distance |
| "Can this series be used as a 3D volume? Report any missing slices or uneven spacing." | check_geometry |
| "Show the middle coronal slice in a bone window." | render_mpr |
| "Show sagittal slice 100." | render_mpr |
| Prompt | Tool |
|---|---|
| "De-identify the downloaded study, shift the dates and drop private tags." | deidentify |
| "De-identify it but k
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요