Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Beschreibung vom Entwickler (englisches Original)
Search, retrieve, store, view, measure and de-identify DICOM images over DIMSE and DICOMweb.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
AZURE_DICOM_TOKEN, DICOM_AGENT_MCP_DEID_KEYAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"dicom-agent": {
"command": "uvx",
"args": [
"dicom-agent-mcp"
],
"env": {
"AZURE_DICOM_TOKEN": "your-value",
"DICOM_AGENT_MCP_DEID_KEY": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add dicom-agent --env AZURE_DICOM_TOKEN=your-value --env DICOM_AGENT_MCP_DEID_KEY=your-value -- uvx dicom-agent-mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"dicom-agent": {
"command": "uvx",
"args": [
"dicom-agent-mcp"
],
"env": {
"AZURE_DICOM_TOKEN": "your-value",
"DICOM_AGENT_MCP_DEID_KEY": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"dicom-agent": {
"type": "stdio",
"command": "uvx",
"args": [
"dicom-agent-mcp"
],
"env": {
"AZURE_DICOM_TOKEN": "your-value",
"DICOM_AGENT_MCP_DEID_KEY": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto arunmk-ms bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: AZURE_DICOM_TOKEN, DICOM_AGENT_MCP_DEID_KEY
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.0) kam vor 5 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Figma Context MCP, Claude Real Video, Figma MCP Server
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
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