Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Map Governed Data Records to documented formats, reporting what happened to every value.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"sdc-mapper": {
"command": "uvx",
"args": [
"sdc-mapper"
]
}
}
}Run this in your terminal
claude mcp add sdc-mapper -- uvx sdc-mapperPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"sdc-mapper": {
"command": "uvx",
"args": [
"sdc-mapper"
]
}
}
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Paste into .vscode/mcp.json in your project
{
"servers": {
"sdc-mapper": {
"type": "stdio",
"command": "uvx",
"args": [
"sdc-mapper"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
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 6, 2026
The registry name was verified with the GitHub account SemanticDataCharter, which owns the repo
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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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).
The GitHub repo last changed –, and the latest version (4.3.2) reached the registry 10 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Zoo MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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The shared core of the Semantic Data Charter's Governed Data Record mappers. It validates a record, reads the model the record names, resolves every value against what the model says about it, hands the result to a target mapper, and reports every value: how it reached the target, or that the target cannot hold it. Where the record says *why* a value is missing or unusable (an Exceptional Value, from the ISO 21090 null flavors), the report also says whether the target could say it too. Every call is appended to a hash-chained log that holds no values.
Each target format is its own package (sdc-gdr2ubl, sdc-gdr2edifact, sdc-gdr2omop, ...) registered under the entry-point group sdc_mapper.targets. Outbound only. Apache 2.0.
Status: 4.3.2. Five target mappers are released: sdc-gdr2ubl (OASIS UBL 2.3), sdc-gdr2edifact (UN/EDIFACT D.24A), sdc-gdr2omop (OMOP CDM 5.4), sdc-gdr2fhir (HL7 FHIR R4) and sdc-gdr2hl7v2 (HL7 v2.5.1).
sdc-map targets
sdc-map map TARGET record.xml --package DIR [--mapping m.yaml] [-o out/] sdc-map fidelity record.xml --package DIR # every installed target, side by side, per Exceptional Value sdc-map check-mapping m.yaml --package DIR sdc-map log summary --days 7 | sdc-map log verify sdc-mapper [--log-dir DIR] [--host URL] # MCP stdio server (also sdc-mapper-mcp): the primary way agents use the mappers
A model is a package directory (dm- .jsonld, dm- .xsd) or a published model's --ct-id, fetched from the SDCStudio host; with neither, the record's own root names it. Exit status: 0 mapped, 1 refused, 2 error.
YAML, validated against schemas/mapping.schema.json, bound to one model schema version and one target version.
mapping: {id: credit-note-to-ubl, version: 1}
model: {ct_id: jkuyr38hydqaiwlq5vhp2rjr, schema_sha256: "…"} target: {name: OASIS UBL, version: "2.3 CreditNote"} rules:
Transforms: copy, code (a table), format, constant, binding (the code the model defines an enumerated value by), link (the code of the concept the component links to), omit; clusters group or omit. binding and link take a system (http://loinc.org, http://snomed.info/sct, a code list's IRI); their text is the model's, so a mapper reports it as a lookup (LOOKUP_TRANSFORMS). Steps: .. up, . none, +name an element of the value's own, =name the element of that name the parent already has. within: restricts a rule to a context. A value no rule reaches is reported, never dropped. place(record, mapping) turns a record and its mapping into placements a mapper writes from.
sdc_mapper.codes reads the IRIs the component libraries use for a concept as a code system and a code: LOINC codes and answers, SNOMED CT, NCI Thesaurus, and any code list whose IRI ends in #code (UBL's, HL7's). A code system is named by the IRI FHIR uses for it; a mapper turns that into its own name for the system (OMOP's vocabulary_id, HL7 v2's coding system). bound_code(value) is the code an enumerated value is defined by, linked_code(value) the code of the concept its component links to (skos:exactMatch, then dcterms:subject), and model_codes(value) every code the model names for it: a target code that is one of these came from the model.
place() gives each value its target steps. Steps written =name join an element made by another value, so a writer holds those writes back until every other value is written, then writes them shallowest first: sort them by join_depth(steps). A row-oriented target (a set of tables, as OMOP's) can treat each step as a table or a column, +TABLE as one new row per value, and keep the record's own row (its person, its document) under a name of its own; sdc-gdr2omop does so with a RECORD table.
A mapper has name, target, target_version, package, version, an Exceptional Value table (ev_table: an EVRule per ISO 21090 code: preserved, degraded, carried or lost) and map(record, mapping) -> MapResult. It returns one ValueOutcome for every value it was given, never writes a rejected value as a value, and registers itself:
[project.entry-points."sdc_mapper.targets"]
ubl = "sdc_gdr2ubl:UBLMapper"
python -m pytest tests -q (offline). The fixture is a HalvorsenDemo Credit Note record and its model's package; the reference mapper in tests/refmapper.py is a flat CSV used only to exercise the contract.
Apache 2.0. See NOTICE for the shipped SDC4 reference model schema and the fixture.