Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Deterministic SHACL-based assessment and comparison for digital passport data models.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"dpawb": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/ce-rise-software/dpawb-mcp:0.1.2"
]
}
}
}Run this in your terminal
claude mcp add dpawb -- docker run -i --rm ghcr.io/ce-rise-software/dpawb-mcp:0.1.2Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"dpawb": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/ce-rise-software/dpawb-mcp:0.1.2"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"dpawb": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/ce-rise-software/dpawb-mcp:0.1.2"
]
}
}
}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 7, 2026
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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
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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 (0.1.2) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Zendesk
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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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A Python toolkit and thin CLI for SHACL-based assessment of digital passport data models, pairwise comparison of composed solutions, and SHACL-only use-case coverage analysis.
This README is primarily a repository and development entry point. The user-facing conceptual and usage reference is at the published documentation site. The repository-source docs remain available in docs/.
dpawbdpawb-mcpThe tool is designed primarily as an agent-usable analytical toolkit with a thin CLI. The core command surface is:
assesscoveragecompareprioritizerecommend-compositionschemavocabularytemplatecapabilitiessummarizeThe intended primary integration mode is an AI agent orchestrating the analytical pipeline through the package API or the CLI. In practice, this means:
The CLI remains useful for direct human invocation, but the main product shape is an analytical engine that can be called by agent skills, workflow runners, or tool adapters.
The package also ships a thin stdio MCP server over the same deterministic command surface:
assesscoveragecompareprioritizerecommend-compositionschemavocabularytemplatecapabilitiessummarizeThe MCP surface stays intentionally thin:
dpawb as the core Python packagedpawb-mcpThe MCP runtime and publication shape are documented in the published MCP server page.
The public Python API is documented in the published API reference.
The MCP server is published with this identity:
io.github.CE-RISE-software/dpawbghcr.io/ce-rise-software/dpawb-mcp: stdiohttps://registry.modelcontextprotocol.io/The server is discoverable in the official MCP Registry under the name io.github.CE-RISE-software/dpawb.
Registry discovery page:
https://registry.modelcontextprotocol.io/?q=dpawbLocal client configuration example:
{
"mcpServers": { "dpawb": { "command": "dpawb-mcp" } } }
OCI-oriented registry metadata is declared in server.json. The publish workflow fills in the release version and image tag when publishing.
python -m venv .venv
. .venv/bin/activate pip install -e .
Published package name:
pip install dpawb
The installed MCP server command is:
dpawb-mcp
If you are working in a restricted environment, the package is configured to build with setuptools so editable installs do not depend on fetching an extra build backend.
If build isolation or wheel support is unavailable locally, use:
python -m pip install --no-build-isolation -e .
In constrained environments where editable installation is blocked by local Python packaging tooling, the repository still supports a repo-native execution path:
./scripts/run-local.sh capabilities
./scripts/test-local.sh make smoke make test make validate
Minimal local MCP runtime command:
python -m dpawb.mcp_server
dpawb assess --profile fixtures/profiles/synthetic_evolution_latest.yaml
dpawb coverage --profile fixtures/profiles/synthetic_evolution_latest.yaml --use-case fixtures/use_cases/product_identity_lookup.yaml dpawb compare --left left_assessment.json --right right_assessment.json dpawb recommend-composition --left left_assessment.json --right right_assessment.json --comparison comparison_result.json dpawb summarize --result comparison_result.json --format markdown dpawb capabilities
Before wiring PyPI CI/CD, run the local packaging check in an environment with wheel available:
make release-check
This builds a wheel and sdist, installs the wheel into a clean temporary environment, and runs installed CLI smoke checks.
There are two distinct input areas in this repository:
fixtures/ Synthetic, repository-local test data only. These files are used by tests, smoke checks, and CI validation.examples/01-source-ingestion/ Live-source example inputs intended for manual runs. These are the first step in the tutorial progression and are not part of CI validation.The full examples tree is organized by analytical task, not by input data model:
examples/01-source-ingestion/ Load and assess declared profiles.examples/02-structural-comparison/ Compare two profile assessment results.examples/03-reduced-use-case-comparison/ Run the first aligned use-case comparison.examples/04-extended-use-case-comparison/ Run a broader aligned use-case comparison.examples/05-composition-recommendation/ Recommend a combined profile from two assessed model sets.Each example is usable by humans as a step-by-step command tutorial and by AI agents as a deterministic recipe over explicit files.
Example profiles for live SHACL sources are included at:
examples/01-source-ingestion/profiles/battery_dpp_representation_live.yamlexamples/01-source-ingestion/profiles/battery_product_identification_live.yamlexamples/01-source-ingestion/profiles/dp_record_metadata_live.yamlexamples/01-source-ingestion/profiles/traceability_and_life_cycle_events_live.yamlexamples/01-source-ingestion/profiles/metadata_focused_composition_live.yamlexamples/01-source-ingestion/profiles/metadata_and_traceability_live.yamlexamples/02-structural-comparison/profiles/metadata_slice_left_live.yamlexamples/02-structural-comparison/profiles/metadata_slice_right_live.yamlIf you want a single live source, the metadata-oriented example is the main starting point:
./scripts/run-local.sh assess --profile examples/01-source-ingestion/profiles/dp_record_metadata_live.yaml
If you want a composed profile, use:
./scripts/run-local.sh assess --profile examples/01-source-ingestion/profiles/metadata_and_traceability_live.yaml
You can also run the traceability-only example:
./scripts/run-local.sh assess --profile examples/01-source-ingestion/profiles/traceability_and_life_cycle_events_live.yaml
For manual coverage runs, example use cases are included at:
examples/01-source-ingestion/use_cases/battery_dpp_representation.yamlexamples/01-source-ingestion/use_cases/battery_product_identification.yamlexamples/01-source-ingestion/use_cases/battery_passport_metadata_and_classification.yamlexamples/01-source-ingestion/use_cases/record_identity_lookup.yamlexamples/01-source-ingestion/use_cases/provenance_actor_lookup.yamlExample:
./scripts/run-local.sh coverage \
--profile examples/01-source-ingestion/profiles/dp_record_metadata_live.yaml \ --use-case examples/01-source-ingestion/use_cases/record_identity_lookup.yaml
The main real comparison-driver use case is:
examples/01-source-ingestion/use_cases/battery_dpp_representation.yamlIt intentionally stays narrow. It requires:
and the joins needed to treat those as one battery-DPP representation slice.
The matching starting composition for that use case is:
examples/01-source-ingestion/profiles/battery_dpp_representation_live.yamlIt currently composes:
dp_record_metadatatraceability_and_life_cycle_eventsThis is the current broader baseline for the battery-DPP comparison work.
For the first reduced real pass, the narrower identity-focused comparison slice is:
examples/03-reduced-use-case-comparison/examples/03-reduced-use-case-comparison/use_cases/use_case.yamlexamples/03-reduced-use-case-comparison/profiles/left_profile.yamlexamples/03-reduced-use-case-comparison/profiles/right_profile.yamlThis reduced slice composes:
dp_record_metadataproduct_profiletraceability_and_life_cycle_eventsand is the first validated product-identification comparison slice against the BatteryPass General Product Information model.
A second broader validated slice is also included:
examples/04-extended-use-case-comparison/examples/04-extended-use-case-comparison/use_cases/use_case.yamlexamples/04-extended-use-case-comparison/profiles/left_profile.yamlexamples/04-extended-use-case-comparison/profiles/right_profile.yamlThis slice adds passport version/revision and battery type/classification while keeping the same CE-RISE composed model set.
The two current cross-ecosystem validation notes are:
examples/03-reduced-use-case-comparison/notes/comparison_note.mdexamples/04-extended-use-case-comparison/notes/comparison_note.mdThe step-by-step user reference for these examples is in the published example applications guide.
For manual comparison runs, a comparison-ready live pair is included with the same declared scope label:
examples/02-structural-comparison/profiles/metadata_slice_left_live.yamlexamples/02-structural-comparison/profiles/metadata_slice_right_live.yamlexamples/02-structural-comparison/alignments/metadata_slice_alignment.yaml as a starting-point alignment exampleTypical flow:
./scripts/run-local.sh assess --profile examples/02-structural-comparison/profiles/metadata_slice_left_live.yaml --output /tmp/left.json
./scripts/run-local.sh assess --profile examples/02-structural-comparison/profiles/metadata_slice_right_live.yaml --output /tmp/right.json ./scripts/run-local.sh compare --left /tmp/left.json --right /tmp/right.json
With an explicit analyst-authored alignment:
./scripts/run-local.sh compare \
--left /tmp/left.json \ --right /tmp/right.json \ --alignment examples/02-structural-comparison/alignments/metadata_slice_alignment.yaml
When an alignment file is provided, the comparison result now includes two alignment-oriented views:
evaluated_pairs Full per-pair presence status for every declared equivalence.ranked_alignment_observations Review-oriented gaps for any declared pair that is only present on one side or missing on both sides.So the main things to inspect in an alignment-aware comparison result are:
Only the beginning is shown; read the rest in the repo