Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
Search, retrieve, store, view, measure and de-identify DICOM images over DIMSE and DICOMweb.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
AZURE_DICOM_TOKEN, DICOM_AGENT_MCP_DEID_KEY「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"dicom-agent": {
"command": "uvx",
"args": [
"dicom-agent-mcp"
],
"env": {
"AZURE_DICOM_TOKEN": "your-value",
"DICOM_AGENT_MCP_DEID_KEY": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add dicom-agent --env AZURE_DICOM_TOKEN=your-value --env DICOM_AGENT_MCP_DEID_KEY=your-value -- uvx dicom-agent-mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"dicom-agent": {
"command": "uvx",
"args": [
"dicom-agent-mcp"
],
"env": {
"AZURE_DICOM_TOKEN": "your-value",
"DICOM_AGENT_MCP_DEID_KEY": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"dicom-agent": {
"type": "stdio",
"command": "uvx",
"args": [
"dicom-agent-mcp"
],
"env": {
"AZURE_DICOM_TOKEN": "your-value",
"DICOM_AGENT_MCP_DEID_KEY": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント arunmk-ms で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:AZURE_DICOM_TOKEN, DICOM_AGENT_MCP_DEID_KEY
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.1.0)がレジストリに届いたのは5 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
冒頭だけを表示しています。続きはリポジトリで読めます