Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
Search, retrieve, store, view, measure and de-identify DICOM images over DIMSE and DICOMweb.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
AZURE_DICOM_TOKEN, DICOM_AGENT_MCP_DEID_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"dicom-agent": {
"command": "uvx",
"args": [
"dicom-agent-mcp"
],
"env": {
"AZURE_DICOM_TOKEN": "your-value",
"DICOM_AGENT_MCP_DEID_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add dicom-agent --env AZURE_DICOM_TOKEN=your-value --env DICOM_AGENT_MCP_DEID_KEY=your-value -- uvx dicom-agent-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"dicom-agent": {
"command": "uvx",
"args": [
"dicom-agent-mcp"
],
"env": {
"AZURE_DICOM_TOKEN": "your-value",
"DICOM_AGENT_MCP_DEID_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"dicom-agent": {
"type": "stdio",
"command": "uvx",
"args": [
"dicom-agent-mcp"
],
"env": {
"AZURE_DICOM_TOKEN": "your-value",
"DICOM_AGENT_MCP_DEID_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
注册名称已通过 GitHub 账户 arunmk-ms 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:AZURE_DICOM_TOKEN, DICOM_AGENT_MCP_DEID_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.0)于5天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间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.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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
只显示了开头部分;其余内容请在仓库中阅读