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  3. Cernion Energy Tools MCP
Cernion Energy Tools MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 7:01:49 AM

Cernion Energy Tools MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website

Energy-domain MCP tools for Cernion context, evidence and guarded process preparation

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Cernion Energy Tools MCP, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
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Documentation Overview

Cernion Energy Tools

API-first Agentic Energy Operations Layer for Stadtwerke, DSOs and energy-service teams. Cernion combines deterministic energy-domain services, curated capability routing, evidence dossiers, VDMI role logic, HITL boundaries and read-only integration surfaces for REST, Sidecar, Microsoft Copilot, n8n, OpenWebUI and OpenClaw.

Maintenance CI CodeQL Release codecov

What This Repository Is

Cernion Energy Tools is the backend runtime behind cernion.de: a Node.js/Moleculer service platform for energy-domain automation, decision support and agentic process orchestration.

It is not just a chat frontend for energy APIs. The current platform contains:

  • 138 Moleculer services in services/
  • 1007 OpenAPI paths in openapi-export.json
  • 304 JavaScript test files under tests/
  • curated Copilot, Sidecar, OpenWebUI, n8n and OpenClaw integration surfaces that expose only governed subsets of the backend
  • agentic runtime components for routing, receipts, dossiers, HITL, evidence, revalidation and observability

Current package/OpenAPI version: 0.99.0

Public positioning

Cernion does not let the chat decide. The platform structures the objective, available data, service chain, evidence, gaps, risk and the next safe gate. The result is not a black-box answer, but a dossier-ready status or decision-readiness view for Stadtwerke, distribution-system operators and energy-service teams.

Cernion Energy Tools is not an automatic contract decision, grid-connection commitment, device-control system, MaKo execution system, billing/settlement system or tariff-mutation machine. Suitable integration scopes are ask, plan, evidence, capability lookup and read-only status. Write-like or consequential steps stay in draft, prepare or pending confirmation states and require HITL.

The public website explains Cernion as an energy-intelligence and decision platform for Stadtwerke: MaStR analysis, grid planning, §14a, Redispatch, Energy Sharing, customer-service automation and Microsoft Copilot complementarity. This repository is the deeper technical system underneath that product narrative.

Public discovery links

  • Product and topic hub: Cernion Themencluster
  • Capability overview: Cernion Capability Hub
  • API and agent integration: MCP Tools & API and REST API
  • Operational search-intent pages:
    • Verteilnetzbetreiber Software
    • Stadtwerke Prozessautomatisierung
    • §14a EnWG Nachweisakte
    • Redispatch 2.0 Bewegungsdaten
    • KI für Stadtwerke und Netzbetreiber

Why Cernion Is Agentic

Cernion is API-first, but the API is only the integration layer. The agentic part is the runtime behavior:

  1. Understand an energy-domain objective Examples: validate a grid-connection scenario, build a VDMI responsibility matrix, assess BESS finance risk, identify Energy Sharing data conflicts.
  2. Select a governed capability path The capability-broker maps intent to curated service chains instead of exposing the full tool catalogue to an LLM.
  3. Execute deterministic microservices Energy-domain calculations and regulatory checks remain code-backed and reproducible.
  4. Maintain process state Personal-agent sessions, receipts, dossiers, HITL items and object-store evidence allow work to continue beyond a single chat turn.
  5. Produce auditable artifacts Outputs are not only natural-language answers; they include dossiers, evidence packages, decision frames, validation reports, receipts and traces.
  6. Govern revalidation New facts can become control signals for agents: if a MaStR asset, datapoint or object-store evidence item changes, dependent decisions can be identified and rechecked.

This is the practical difference between a question-and-answer bot and an agentic energy-operations platform.

Core Architecture

text
External systems / humans / agents
        |
        v
REST API, Copilot API, OpenClaw Sidecar, MCP-like tool surfaces
        |
        v
Personal Agent / Capability Broker / Agent Receipts / Blueprints
        |
        v
Governed Moleculer services
        |
        v
Datapoints, Object Store, Knowledge RAG, Dossiers, Jobs, Observability

Runtime Layers

LayerComponentsPurpose
Service busMoleculer, REST gateway, async jobsDeterministic service execution and API exposure
Data layerObject Store, Datapoints, DataSources, Knowledge RAGInternal data, external evidence, tenant memory and source material
Agentic routingPersonal Agent, Capability Broker, Blueprints, Agent ReceiptsIntent resolution, tool-chain selection, durable execution
GovernanceVDMI, HITL, Clarification Policy, Interface Placeholder, Evidence RevalidationResponsibilities, missing evidence, human decisions, gap handling
IntegrationFull OpenAPI, Copilot subset, OpenClaw Sidecar, Webhooks, MCP-style toolsSafe use by humans, copilots, agents and automation systems
ObservabilityMetrics, traces, audit records, job statusOperation, auditability and support

Main Domains

The platform covers several energy-industry work areas. The following list is representative; the OpenAPI export is the source of truth.

DomainExamples
Grid connection and fNAVGrid-connection validation, flexible network access, connection-rejection evidence
VDMI governanceVerantwortlich, Durchführend, Mitwirkend, Information per process step; findings, dossiers and evidence
Zielnetzplanung (ZNP)Projects, assumptions, Layer 0/1/2 assets, portfolio analysis, NOVA decisions
Asset and data qualityMaStR quality, asset overrides, ghost-asset alerts, datasource classification
Energy Sharing and settlement§42c-style allocation, settlement checks, Redispatch ex-post reconciliation
EDM and market communicationMSCONS import, EDM validation, virtual meters, messkonzept checks
Forecasting and flexibilityForecast engine, residual load, §14a flex events, SLP profiles
Finance and investmentFinance agent, fNAV economics, BESS screening, capex prioritization
Reporting and BIReporting governance, dashboard API, VNB monitoring, EWK monitoring
Knowledge and evidenceKnowledge RAG, evidence routing, dossiers, object-store context

Agentic Components

Personal Agent

services/personal-agent.service.js is the user-facing orchestration layer. It keeps conversation state, routes intents, calls deterministic services and synthesizes results without turning the whole backend into one prompt.

Key concepts:

  • layered context management ("Zwiebelmodus")
  • durable execution state and resumable sessions
  • file and datapoint intake
  • evidence-gap handling
  • work-out-loud events
  • presentation-aware final artifacts

Capability Broker

services/capability-broker.service.js and src/capability-catalog.js provide curated capability routing. This is the control point that prevents agents from seeing or choosing the entire backend surface directly.

Examples of curated capabilities include:

  • vdmi_role_boundary_governance
  • vdmi_asset_validation_governance
  • vdmi_grid_connection_decision_governance
  • netzfahrplan_fnav_assessment
  • znp_portfolio_assessment
  • settlement_a96_reconciliation
  • financier_due_diligence_assessment
  • reporting_governance

Agent Receipts

services/agent-receipts.service.js turns repeatable agent workflows into versioned, testable recipes. Receipts describe matching conditions, required inputs, tool plans and knowledge plans. They are the bridge from "the agent answered" to "the platform selected a governed, inspectable workflow".

Dossiers and Decision Frames

Cernion uses dossiers and decision frames for auditable outputs. A result can include:

  • facts used
  • hypotheses
  • evidence gaps
  • risks
  • forbidden assumptions
  • VDMI responsibilities
  • next actions
  • human-review requirements

Agentic Governance and Revalidation

Two active architecture tracks are captured in GitHub issues:

  • #275 Agent Governance Runtime: Bestandsanalyse vor Umsetzungsplan
  • #276 Agentic Governance Layer: Faktenänderungen als Steuerungssignal für Agenten

The target direction is that a changed fact can become a control signal for agents:

text
MaStR / datapoint / object-store change
        |
        v
Dependency and impact analysis
        |
        v
Revalidation queue
        |
        v
Agent receipt / capability flow rerun
        |
        v
Audit note, updated dossier, HITL item or exception case

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
2
Stargazers on the source repository.
Last commit
4d ago
Most recent push to the default branch.

Reviews

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Frequently Asked Questions about Cernion Energy Tools MCP

We don't have a confirmed install command for Cernion Energy Tools MCP yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/energychain/cernion-energy-tools) for the current steps.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand â–¾
Last updatedSep 20, 2026
9/10 checks healthy over the last 46d
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GitHub stars2
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Last commit4d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 20, 2026
35Quality signal: Fair · 35/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity5/15
Community engagement0/10

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