Sdcreader
Overview
Description from the maker (original English)
Read published Semantic Data Charter models: catalog search, record structure, codes, pinned schema.
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Paste these settings and save the file
{ "mcpServers": { "sdcreader": { "command": "uvx", "args": [ "sdcreader" ] } } }Quit Claude and open it again
Try it
Use Sdcreader and tell me what you can do for me, then show me one thing✓ If Claude says it is using Sdcreader or shows a Sdcreader tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Sdcreader yet
Sdcreader runs on your computer, but ChatGPT can only connect servers that run on the web
What you can do instead
A · Use an app that can connect Sdcreader
- Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
- Install Python (uv) on your computer first (one time)
- Install Python (uv) on your computer first (one time)
- Install Python (uv) on your computer first (one time)
B · Others in Search & AI memory that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
- AIHOT✓ ChatGPT
- Sui Knowledge Base (kapa.ai)✓ ChatGPT
- Exa✓ ChatGPT
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Paste this command and press Enter
claude mcp add sdcreader -- uvx sdcreaderType /mcp in Claude Code
You should see Sdcreader listed as connected
Try it
Use Sdcreader and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Sdcreader or shows a Sdcreader tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the AI chat in Cursor in Agent mode
Try it
Use Sdcreader and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Sdcreader or shows a Sdcreader tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the AI chat in VS Code in Agent mode
Try it
Use Sdcreader and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Sdcreader or shows a Sdcreader tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
For developers: Terminal commands and JSON settings
Installed on your computer
Claude Code
claude mcp add sdcreader -- uvx sdcreaderClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"sdcreader": {
"command": "uvx",
"args": [
"sdcreader"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"sdcreader": {
"command": "uvx",
"args": [
"sdcreader"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"sdcreader": {
"type": "stdio",
"command": "uvx",
"args": [
"sdcreader"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
At a glance
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Related guides
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account SemanticDataCharter, which owns the repo
- ✓ Pass
Still maintained
Code last changed yesterday
- ✓ Pass
Has a licence
Uses Apache-2.0
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Discussion
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
User reviews
No reviews yet
Compared with others in Search & AI memoryi
- More stars than 0% of the other 5911 servers in this category
- Published to the registry more recently than 69% of the other 5911 servers in this category
- Basic checks equal to or better than 100% of the other 5911 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Sdcreader safe?
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed yesterday, and the latest version (4.4.1) reached the registry 17 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: Ruflo, Context7, Metabase
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
sdcreader
Read a published Semantic Data Charter model's package for projection into other standards.
A projection describes a model's governed data records in another standard's terms: CDIF, DCAT-US 3.0, DCAT-AP 3.0.1, HealthDCAT-AP, and whatever comes next. What every projection describes is the same evidence, the model's package, and reads it into the same shape. sdcreader is that evidence and that shape, once, with nothing about any projection in it. The four projection writers (sdc_cdif, sdc_dcat3_us, sdc_dcat3_ap, sdc_healthdcat_ap) carried it as identical copies until this package.
pip install sdcreader # the reader, with HTTP for fetching from the public catalog (since 4.1.0 no extra is needed)
from sdcreader import fetch_package, load_package, read_model
pkg = load_package("samples/nhanes-participant") # a package on disk pkg = fetch_package("xy8upneajsb8vdcmnve01g6g", save_to="pkg/") # or from SDCStudio's public catalog, no account model = read_model(pkg)
pkg.schema_url_pinned # https://sdcstudio.axius-sdc.com/dmlib/dm-xy8u...xsd?sha256=0df4... the exact bytes the records are validated against model.title, model.leaves # 'NHANES Participant', 153 leaves in document order, each with its path of clusters model.codes[ct_id] # the enumerated values of a component with the IRI, definition and code the schema annotates them with model.dc("publisher") # what the modeler wrote, None where SDCStudio's default sits
What a package is
SDCStudio generates a package for every published model and serves it publicly for models in public projects:
GET /api/v1/catalog/dm/ / | the catalog record: title, description, project, the artifact list (catalog.json) |
GET /api/v1/catalog/dm/ / / | a storage pointer, {"download_url": ..., "filename": ..., "storage": "gcs"}, for jsonld, xsd and the rest; the reader follows it |
dm- .jsonld | the model and its components: type, label, description, cardinality, constraints (enumerations, units, ranges, patterns), semantic links (dcterms:identifier the library slot, dcterms:source, dcterms:publisher, skos:exactMatch, rdfs:seeAlso, prov:wasRevisionOf), contains |
GET /dmlib/dm- .xsd | the schema bytes: the Dublin Core header for the model, and for each enumerated value its definition and the code it is defined by (dm- .xsd) |
GET /dmlib/dm- .versions.json | every published version of the schema by SHA-256, with the current one (versions.json) |
A package directory holds those four files. The reader refuses a directory without the JSON-LD and the schema, a JSON-LD whose identifier is not the directory's model, and a schema whose bytes are not the published current version: a projection cites the schema by URL and SHA-256, so the bytes have to be the ones that URL serves.
Two gaps in the package are on SDCStudio's issue tracker: the JSON-LD metadata drops fields the schema header carries (#748), and the header omits dc:source (#749). The reader takes the model's Dublin Core from the header, which is complete.
What the reader gives
- `ModelPackage`: the four files, the SHA-256, the schema URL and its pinned form (
?sha256=), the public catalog URL, andcheck(). - `Model`:
title,description,root(the governed record's cluster),componentsby identifier,leavesin document order (each aLeafwith itscomponent, itspathof clusters and aslugof that path, unique in the record),codes(the enumerated values per component asCode: value, IRI, definition, the code it is defined by),metadata(the JSON-LD's) andheader(the schema's Dublin Core). - `Model.dc(name)`: what the modeler wrote, the header first and the JSON-LD second, with SDCStudio's field defaults as unset: "Universal" for coverage, "None" for relation, "SDC Data Model (DM)" for type, blanks. A projection never publishes a default as a fact.
contributors,subjects(the semicolon list),rights_urlandrights_statementderive from it. - `Component`:
sdc_type,label,description,data_type,constraints,linksby predicate (link(p)for the first),contains,iri. - Constants: the leaf, numeric and quantified types; the predicate IRIs
IDENTIFIER,SOURCE,PUBLISHER,EXACT,CLOSE,SEE_ALSO,HAS_UNIT;DC_DEFAULTS.
Reading a record (4.3.0)
read_record(source, model) reads a Governed Data Record, the XML instance, and joins each value to the component that defines it. source is the record's bytes, its text or a path; a record of another model is refused (RecordError), as is anything that is not an sdc4:dm- record.
- `Record`:
attributes(instance_id,instance_version,creation_timestamp,current-state, ...),valuesin document order, andexceptional, the values that carry an Exceptional Value. - `RecordValue`: the
component, itspathof clusters (root first),instancesparallel to the path (which occurrence each cluster is among the same cluster's repeats under the same parent;instance_keypairs them with the clusters' identifiers, one key per cluster instance), anoccurrenceindex for a component repeated within its cluster instance, itsposition, itselementsas the record holds them (a quantity's units nested:{"xdquantity-value": "1", "xdquantity-units": {"label": "Trade Units", "xdstring-value": "EA"}}), and itscontext(act,vtb,vte,tr,modified,latitude,longitude). - `ExceptionalValue`: the ISO 21090 null flavor (
code,name) and itsorigin:sourcewhen it stands in place of the value,recoverywhen sdcvalidator's recovery inserted it beside a value that failed its constraint. Forrecovery,RecordValue.rejectedis that value, kept so a person can see it.
Cluster members sit inside adapter elements that are not components of the model; the reader passes through them. It does not type, validate or interpret values: that is the caller's work (a mapper, an exporter, a checker).
MCP server
sdcreader is also an MCP server, registered as io.github.SemanticDataCharter/sdcreader, so an assistant can read a published model the way sdcvalidator, sdcgovernance and sdcreceipt let it validate, govern and settle a record. stdio, no SDK, no account, read-only.
uvx sdcreader # or: sdcreader-mcp, or python -m sdcreader.mcp_server
uvx sdcreader --host https://your-sdcstudio.example # a sovereign SDCStudio's public catalog
| Tool | Does |
|---|---|
find_models | search the public catalog by text, or list a public project's models by name |
describe_model | one model: title, project, root record, leaf and component counts by type, Dublin Core with SDCStudio's defaults as null, the schema URL pinned to its SHA-256 |
list_leaves | the leaves in document order with path, type, constraints, code count and identity links, paged |
list_codes | one component's enumerated values with IRI, definition and code system |
check_package | the reader's integrity check on a package directory |
read_record | a Governed Data Record on disk read against its model: attributes, then each value with its component, path, elements, context and Exceptional Value, paged; the model is the one the record names unless a source is given |
Each model tool takes a ct_id (fetched from the host the server was started with) or a package directory on disk. No tool takes a URL: the host is fixed at start, so a caller cannot point the server elsewhere. Every tool calls the same functions as the library; the two interfaces describe one model the same way.
Tests
pip install -e ".[dev]"
python -m pytest tests -q # includes one fetch against production python -m pytest tests -q -m "not network" # offline, as CI runs it
The fixture is the NHANES Participant package of the FAIR Data Demo, the record every projection is proven on.
Versioning
The leading 4 is the SDC4 reference model, as with every Semantic Data Charter package. An addition to what the reader exposes is a minor version, a fix a patch; the major changes only when the reference model does.
License
Apache-2.0 (see LICENSE, NOTICE).