A planning assistant for organizations adopting CE-RISE Digital Passport components. It exposes read-only catalog operations like list_solution_capabilities, map_user_goal_to_ce_rise_capabilities, and assess_implementation_readiness to help you understand compliance drivers, value-chain flows, and which existing CE-RISE services fit your use case. It can probe live service health endpoints, inspect OpenAPI specs, generate Docker Compose or Kubernetes starter files from the GitOps template, and check configured update channels for current component versions. This is a discovery and planning layer, not a deployment tool. It won't create passport records or call business operations. Reach for it when you need to understand the CE-RISE ecosystem before committing to specific components or architectures.
A repo-native stdio MCP server that helps AI agents and human users make better use of existing CE-RISE Digital Passport components, services, schemas, documentation, and deployment workflows.
This assistant is not a replacement for CE-RISE assets. Its role is to guide discovery, configuration, implementation planning, readiness checks, and appropriate reuse of the existing CE-RISE ecosystem.
The main workflow is general Digital Passport adoption: helping an organization understand compliance drivers, value-chain information flows, implementation readiness, and value opportunities from shared information, regardless of company size or organizational label.
The main human-facing CE-RISE solution entry point is:
The public documentation for this MCP server is published at:
server/mcp_server.pydata/solution_catalog.jsondata/connected_sources.jsondata/live_service_connections.jsondata/deployment_artifacts.jsondata/reference_examples.jsondata/update_channels.jsonserver.jsonDockerfilescripts/examples/01-design-workflow/docs using BookThe server is intentionally repo-native at this stage. It does not introduce an installable Python package.
The initial tool surface is catalog-backed and deterministic:
list_solution_capabilitieslist_solution_componentsmap_user_goal_to_ce_rise_capabilitiesrecommend_passport_architecturegenerate_implementation_planassess_implementation_readinessassess_adoption_contextmap_value_chain_flowsidentify_value_opportunitiesrecommend_adoption_pathgenerate_implementation_roadmaplist_deployment_artifact_templatesgenerate_deployment_artifact_plangenerate_deployment_artifactsassess_deployment_artifact_readinesslist_reference_examplesgeneralize_reference_examplelist_update_channelscheck_update_channelsbuild_update_aware_solution_contextdiscover_model_repositorieslist_connected_sourcescheck_connected_sourcesinspect_connected_sourcebuild_connected_solution_snapshotlist_live_service_connectionsprobe_live_serviceinspect_live_service_openapibuild_live_service_readiness_snapshotThe initial resource surface is:
ce-rise://solution/catalogce-rise://solution/scopece-rise://sources/manifestce-rise://services/live-connectionsce-rise://deployment/artifact-templatesce-rise://examples/reference-generalizationce-rise://updates/channelsThe first implementation is documentation/resource-oriented with a small read-only service discovery layer, a deployment-artifact output layer, a reference-example generalization layer, and an optional update-awareness layer. It connects to curated CE-RISE repositories and documentation references, can inspect local sibling repositories when they are available, can optionally check remote repository/documentation URL availability, can probe read-only live service endpoints such as health, readiness, version, and OpenAPI, can return Docker Compose or Kubernetes starter file contents derived from the existing CE-RISE GitOps template, can generalize reusable patterns from the local demonstrator without copying its concrete demo data or local-only settings, and can check configured release/tag/documentation channels for current upstream metadata when requested.
Normal component-aware outputs include an update_awareness field. This makes update needs visible even when the user did not explicitly ask about versions: the field lists relevant configured update channels and recommends the update-aware tools before implementation, deployment, or detailed technical decisions.
Generation tools can carry update context directly. For example, generate_deployment_artifacts accepts check_remote_updates; when enabled, it checks configured update channels, includes version_context, writes a generated VERSION-CONTEXT.md file into the returned artifact set, and uses checked model_artifact_version tags where they map safely to generated registry catalog entries.
The update layer covers software components, reference examples, deployment templates, documentation availability, and known data model repositories through explicit read-only channels. The server can also discover additional CE-RISE model repositories under the configured model namespace with discover_model_repositories; newly discovered repositories are returned as candidate update channels for review instead of being silently trusted as implementation inputs. Template and model-architecture repositories can be tracked for version awareness without being treated as deployable data model artifacts.
It does not call live CE-RISE business operations such as record creation, validation, query, indicator computation, or registry refresh.
Adoption, architecture, value-chain, and roadmap outputs include source_references and live_service_connections fields where relevant, so recommendations are grounded in CE-RISE assets rather than presented as standalone advice.
Deployment artifact outputs are starter planning artifacts only. They do not replace the canonical dp-system-gitops-template repository or the component-specific deployment documentation.
Compliance-oriented outputs are planning aids only. They do not provide legal certification or legal advice.
Run the MCP server:
./scripts/run-local.sh
Run a local MCP smoke check:
./scripts/smoke-mcp.sh
Run a container MCP smoke check:
./scripts/smoke-container.sh
Run local validation:
./scripts/validate-local.sh
Equivalent make targets are available:
make smoke
make smoke-container
make test
make validate
Minimal local MCP client configuration:
{
"mcpServers": {
"dp-engineering-assistant": {
"command": "/home/riccardo/code/CE-RISE-software/dp-engineering-assistant/scripts/run-local.sh"
}
}
}
Development happens on Codeberg:
The documentation site is published from the Codeberg repository:
The GitHub repository is a mirror used for release-side automation, following the CE-RISE MCP publication pattern:
server.json for the release version and image tag;After release, the server is expected to be reachable in two ways:
The MCP registry identity is:
io.github.CE-RISE-software/dp-engineering-assistantThe OCI image pattern is:
ghcr.io/ce-rise-software/dp-engineering-assistant-mcp:<release-version>Licensed under the European Union Public Licence v1.2 (EUPL-1.2).
This repository is maintained on Codeberg as the canonical source of truth. The GitHub repository is a read mirror used for release archival, OCI image publication, MCP registry publication, and Zenodo integration. Issues and pull requests should be opened on Codeberg.
Funded by the European Union under Grant Agreement No. 101092281 - CE-RISE.
Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority (HADEA). Neither the European Union nor the granting authority can be held responsible for them.
(c) 2026 CE-RISE consortium.
Licensed under the European Union Public Licence v1.2 (EUPL-1.2).
Attribution: CE-RISE project (Grant Agreement No. 101092281) and the individual authors/partners as indicated.
Developed by NILU (Riccardo Boero - ribo@nilu.no) within the CE-RISE project.