Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
제작자가 쓴 설명(영어 원문)
Synthetic US medical-billing documents (PDF and ground truth) for testing extractors and agents
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.
CLAIMSEED_WORKSPACE, CLAIMSEED_CHROME필요한 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": {
"claimseed": {
"command": "npx",
"args": [
"-y",
"@claimseed/mcp"
],
"env": {
"CLAIMSEED_WORKSPACE": "your-value",
"CLAIMSEED_CHROME": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add claimseed --env CLAIMSEED_WORKSPACE=your-value --env CLAIMSEED_CHROME=your-value -- npx -y @claimseed/mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"claimseed": {
"command": "npx",
"args": [
"-y",
"@claimseed/mcp"
],
"env": {
"CLAIMSEED_WORKSPACE": "your-value",
"CLAIMSEED_CHROME": "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": {
"claimseed": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@claimseed/mcp"
],
"env": {
"CLAIMSEED_WORKSPACE": "your-value",
"CLAIMSEED_CHROME": "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.
CLAIMSEED_WORKSPACE envCLAIMSEED_CHROME 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 6일 점검
레지스트리 이름이 GitHub 계정 claimseed 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.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
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(0.5.0)은 3일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Mirobody, FHIR MCP Server, Google Health MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
An MCP server that lets an agent list, generate and render claimseed's synthetic medical-billing specimen documents. Rendered documents come back as page images that chat clients show in the conversation, and, if you give it a folder, as PDF and ground-truth files in that folder. It runs over stdio, writes nowhere but that one folder, never reads a file a client names, and needs no network access and no API key.
Node.js 22.13 or later. Rendering needs Chrome or Chromium (CLAIMSEED_CHROME=/path/to/chrome, or an install in a usual place); listing and generate_data do not.
To see documents in the chat and save no files:
{ "mcpServers": { "claimseed": { "command": "npx", "args": ["-y", "@claimseed/mcp"] } } }
To also keep each PDF and its ground truth as files, give it a folder:
{
"mcpServers": { "claimseed": { "command": "npx", "args": ["-y", "@claimseed/mcp", "--workspace", "/absolute/path/to/claimseed-out"] } } }
Or from a checkout: node packages/mcp/src/cli.js (add --workspace ./out for files). With Docker, using the published image ghcr.io/claimseed/claimseed-mcp (Chromium is inside it; :latest, or a version tag such as :0.1.0), or one you build from the Dockerfile at the repository root (docker build -t claimseed-mcp ., then use claimseed-mcp as the image name below):
docker run -i --rm --network none --read-only --tmpfs /tmp --cap-drop ALL --security-opt no-new-privileges \
--user "$(id -u):$(id -g)" -v "$PWD/claimseed-out:/work" ghcr.io/claimseed/claimseed-mcp
(The image writes to /work; to save no files, leave out the -v mount and add -e CLAIMSEED_WORKSPACE=.)
{ "mcpServers": { "claimseed": { "command": "docker",
"args": ["run", "-i", "--rm", "--network", "none", "--read-only", "--tmpfs", "/tmp", "--cap-drop", "ALL", "--security-opt", "no-new-privileges", "--user", "1000:1000", "-v", "/absolute/path/to/claimseed-out:/work", "ghcr.io/claimseed/claimseed-mcp"] } } }
The server is listed in the MCP registry as io.github.claimseed/claimseed.
Replace 1000:1000 with your user and group ids (id -u, id -g) so the files in the folder are yours. Chromium's own sandbox needs privileges a container does not have, so inside the image it runs without it; the container is the boundary, which is why the flags above take away its network, its capabilities and its writable filesystem.
| Tool | What it does |
|---|---|
list_document_types | The types (msn, itemized-bill, ppo-eob, hmo-eob), each with a description and its scenarios. |
describe_document_type | Every scenario of one type: description, period, claim count, the errors it injects (kind, severity, rule) and its public sources, plus the type's layout variant ids (an empty list for msn, which has one layout). |
generate_data | The data and ground truth of one document, without rendering; nothing is written. Takes layout_variant. |
render_document | Renders one document and returns its pages as images, its ground truth, the PDF's SHA-256 and page count; with a workspace, also writes the PDF and its ground-truth JSON there and returns both paths. With also: "835", also the X12 835 remittance of the same claims (Medicare Summary Notice and Medicare Advantage EOBs). With layout_variant, one of the type's layout variants. |
degrade_document | Like render_document, but for a scanned-looking copy of the document: a flatbed scan, a fax, a phone photo or a low-resolution copy (preset). The copy is an image-only PDF with the specimen band and watermark drawn on top of the degraded pages; its ground truth has the same fields, errors and decoys, plus degradation and the seeded settings in degradationParams. Its structured result names the preset in degradation (null in a render_document result). Takes layout_variant like render_document. |
verify_document | Scores what an extractor or bill auditor reported about one document against its answer key: field accuracy with the paths read wrong or missed, error recall and precision, false alarms and the decoys flagged. Nothing is rendered or written. With layout_variant, the key of that variant. |
Arguments are a type, a scenario slug and a seed (letters, digits, ., _, -; up to 64 characters). The same type, scenario and seed always give the same data, and on Linux with the same Chrome build the same PDF bytes. generate_data, render_document, degrade_document and verify_document also take layout_variant for itemized-bill, ppo-eob and hmo-eob: an id from the type's list in describe_document_type (b01-b12, p01-p12, h01-h12), or seeded to pick one from the seed. A variant prints the same data with another column order, header wording, style and way of marking a continued table; the ground truth names it (documents[0].layoutVariant, schema 1.4) and, with a workspace, the file names carry its id after the seed. Left out, the document keeps the standard layout, unchanged. msn takes no variant; a value for it, an unknown id, an id of another type and all are refused with an error that repeats nothing sent.
render_document also takes:
preview: none, first or all — which pages come back as images (default all without a workspace, first with one). Pages are 1200 pixels on the long side, PNG (JPEG when only a JPEG still fits), and one result carries at most CLAIMSEED_MCP_PREVIEW_KB of image data (default 800 KB, under the 1 MB some clients allow a tool result); the result says which pages it holds and where to continue. The first requested page is always included, drawn smaller or as a JPEG to fit, and at its smallest even when that is over a very low limit.from_page: the first page to return as an image (default 1), to see the pages one result had no room for.include_pdf: also return the PDF itself, embedded in the result. It counts toward the same limit: when it fits, page images take the room left (none is forced in); when the PDF alone is over the limit it is left out, and the result says so (pdfEmbedded: false).also: 835 (the only value) — also write the X12 835 remittance of the same claims, for msn, ppo-eob and hmo-eob; any other type is refused. With a workspace it is saved beside the PDF under a name the server chooses (.835) and linked in the result; without one its text is embedded in the result (application/edi-x12). The structured result's remittance gives the file (or null), its SHA-256 and whether it is embedded; the ground truth holds the 835 as documents[1] and, on each error it carries, x12Ref. What the file contains: the core README, "X12 835 remittances".degrade_document takes the same arguments as render_document and preset: scan, fax, photo or low-res. The settings (rotation, blur, noise, resolution and the rest) come from the type, scenario, seed and preset, so the same request gives the same settings. The pixels can differ very slightly from one run to the next (antialiasing in the browser), and so can the copy's bytes; its ground truth records the SHA-256 of the copy it came with. verify_document scores a report on a degraded copy against the same answer key as the clean document.
verify_document takes the type, scenario and seed of the document and output, the report in the shape of schema://extractor-output: fields maps answer-key field paths (the keys of documents[0].fields) to the values read, and errors lists { kind, fieldRef or lineRef }. It rebuilds the answer key from the seed with this version of claimseed. Matching follows @claimseed/core's verify command: money to the cent, dates in ISO, M/D/YYYY or "April 11, 2026", text without regard to case; an error is found when its kind and line match, and for a duplicate charge either line counts; a flag on a decoy (a line that looks wrong but follows the rules) is a false alarm. To score a whole rendered set, use claimseed-core batch and claimseed-core verify --manifest.
Resources: schema://ground-truth (the ground-truth JSON Schema), schema://extractor-output (the report verify_document scores), catalog://scenarios, catalog://mutations (error and decoy operations), docs://error-taxonomy, policy://synthetic-data, and ui://claimseed/preview (the MCP Apps view below). Prompt: build_test_case (a goal, optionally a type) plans and renders a small test set with expected results.
A render_document result holds the page images as standard MCP image content, the ground truth as structured content, and names an MCP Apps view (_meta.ui.resourceUri = "ui://claimseed/preview") that shows the pages with a table of the injected errors and, when there are any, a table of the decoys. As in describe_document_type, only a document with neither errors nor decoys is labelled a clean control. What you see depends on the client:
| Client | What it shows |
|---|---|
| Clients with MCP Apps (ChatGPT, Claude, VS Code and others) | The view: every returned page, the injected errors and any decoys, in the conversation. |
| Clients that show image content (Claude Desktop, claude.ai, MCP Inspector) | The page images in the tool result. |
| Clients that pass images to the model only (several command-line agents) | The text summary; the model sees the pages and can describe them. |
Every client gets the text summary and the structured ground truth. The view is one self-contained page: it loads nothing (its Content-Security-Policy allows only data: images), sends nothing but the MCP Apps messages to its host, shows every value as text, and takes only colour and font values from the host's style variables.
ChatGPT reaches MCP servers over HTTPS, so a stdio server needs a bridge and a public address. One way, with third-party tools (pin versions you have checked): run npx -y supergateway@4.1.0 --stdio "npx -y @claimseed/mcp" --outputTransport streamableHttp --stateful --port 8000, expose port 8000 with a tunnel (for example cloudflared tunnel --url http://localhost:8000), and add https:// /mcp as a connector in ChatGPT's developer mode. Anyone who has the tunnel address can call the server while it runs; without a workspace it writes nothing, but stop the tunnel when you are done.
/tmp); the profile is removed when the browser closes, after a minute without renders or when the server stops, and is left behind only if the process is killed. With a workspace, the server writes only into the workspace folder (--workspace or CLAIMSEED_WORKSPACE), which must exist and may not be / or your home folder. It picks every file name itself ( _ _ _ .pdf and .ground-truth.json), creates files exclusively and never through a symbolic link, and stops if the folder is moved or replaced by a link while it runs.CLAIMSEED_MCP_QUOTA_MB (default 500) caps the total size of its outputs, counted across runs in a ledger (.claimseed-mcp.json) with each file's size and SHA-256. Over the quota it deletes its own oldest outputs from the current run, and only files still exactly as it wrote them; the right to delete is kept in memory, not in the ledger, so an edited ledger cannot make it delete anything. It never deletes any other file, including its outputs from earlier runs: when those alone fill the quota, a render is refused until you remove some. Run one server per folder.앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요