Open standards, Model Context Protocol and enterprise connectivity

Connect any frontier AI. Integrate every enterprise system. Zero walled gardens. Zero data silos.

True operational intelligence cannot live on an island. Whether you are grounding frontier AI models through the open Model Context Protocol (MCP) or orchestrating workflows across legacy ERPs, scheduling platforms and internal databases, JanusKS fits into your existing technology landscape. Connect modern AI agents and traditional enterprise software through robust REST APIs, real-time webhooks, streaming event buses and open data standards, without replacing your core systems of record or accepting proprietary vendor lock-in.

AI agents on one side and enterprise systems on the other connect to one knowledge graph through two separate tracks. AgentsLLMsLocal AI ERPSchedulesData graph MCP REST / events
AI agents and enterprise software meet in one governed semantic layer.
Dual-track integration
Native open MCP support for AI agents alongside high-throughput REST APIs, webhooks and Kafka or event-driven endpoints for enterprise IT.
Bi-directional synchronisation
Read live operational state from existing tools, and write back approved schedule adjustments, purchase orders or alerts automatically.
Deterministic ground truth
Feeds structured, relationship-aware graph payloads to LLMs and enterprise systems alike, reducing hallucinations and data divergence.

Modern enterprises run on two disconnected speeds.

Most enterprise IT landscapes are caught between two conflicting architectures, and held together by whatever glue was quickest.

  • Legacy systems of record

    Enterprise software (SAP, Oracle, Primavera P6, Procore, Salesforce) stores vital operational and financial data across rigid, proprietary relational databases, and doesn’t support modern AI protocols out of the box.

  • Emerging frontier AI

    LLMs, autonomous agents and conversational interfaces need high-velocity, structured, relationship-rich context, not raw database tables or slow batch extracts.

  • Fragile point-to-point glue code

    Brittle scripts between every tool and every new AI experiment create sprawling technical debt, data latency and severe security vulnerabilities.

JanusKS bridges this divide as one semantic context layer, speaking open MCP to frontier AI agents while orchestrating reliable, bi-directional data flow across your enterprise software through standard protocols.

The dual-track integration architecture.

Two tracks, one identity gate, one graph underneath.

Frontier AI and agents

Claude, ChatGPT, Gemini, local models (Ollama, vLLM)

Enterprise systems of record

SAP, Oracle, P6, Procore, Jira, Salesforce, custom databases

Model Context
Protocol
REST APIs, webhooks,
Kafka

Enterprise Knowledge Graph

  • Ontology
  • Live operational state
  • Temporality
  • Constraint solvers

Track 1Modern AI integration through open MCP

Instead of forcing your data into a proprietary AI vendor’s walled garden, JanusKS deploys standardised MCP server endpoints directly over your operational knowledge graph.

  • Structured semantic resources

    Expose project critical paths, resource capacity matrices, trade overlaps and compliance hold points as deterministic MCP resources.

  • Algorithmic simulation tools

    Expose the JanusKS constraint solver as an MCP tool. AI models can ask: “Run a scenario where Supplier B slips by 10 days and return margin impact.”

  • Dynamic context pruning

    Removes prompt bloat and runaway token costs by feeding models only the sub-graphs relevant to the immediate query.

  • Model neutrality

    Switch freely between Anthropic Claude, OpenAI ChatGPT, Google Gemini, GitHub Copilot, Cursor, or private open-weight models (Llama, Mistral, Qwen) on local runtimes such as Ollama or LM Studio.

Track 2Enterprise systems connectivity

Connect with tools that do not speak AI protocols, with no disruption to daily workflows.

High-throughput REST APIs

  • Universal data querying

    Query your multi-dimensional knowledge graph, temporal baselines and scenario branches using RESTful APIs.

  • Fine-grained payloads

    Request full sub-graphs, calculated formula metrics or specific entity states using predictable, documented JSON payloads.

  • Interactive API documentation

    Full OpenAPI 3.0 / Swagger specifications and SDKs for rapid engineering integration.

Event-driven webhooks and real-time triggers

  • Bidirectional sync

    Listen for state changes across your project platforms, such as a new permit approved in Procore or a purchase order issued in SAP, and ingest them into the graph in milliseconds.

  • Outbound operational alerts

    Dispatch automated alerts and prescriptive recommendations directly to collaboration tools such as Slack, Microsoft Teams and PagerDuty.

Enterprise message queues and streaming

  • High-volume telematics and IoT

    Ingest continuous equipment telematics, GPS vehicle feeds and biometric badge data through Kafka, RabbitMQ or MQTT message brokers.

  • Automated writeback to systems of record

    Once human leadership approves a scenario in JanusKS, the engine writes schedule updates, contractor reassignments or contingency allocations directly back into Primavera P6, SAP S/4HANA or Oracle ERP.

Enterprise integration matrix

Integration matrix by system category, platforms, integration vectors and data exchanged
System categoryTypical source platformsIntegration vectors supportedOperational data exchanged
Frontier and local AI
  • Claude
  • ChatGPT
  • Gemini
  • Copilot
  • Cursor
  • Ollama
  • LM Studio
Open Model Context Protocol (MCP), local stdio/SSE endpoints Semantic graph context, constraint tools, scenario simulations.
Enterprise ERP
  • SAP S/4HANA
  • Oracle ERP Cloud
  • Microsoft Dynamics 365
  • NetSuite
REST API, OData connectors, automated batch drops (SFTP), webhooks Budgets, actuals, procurement orders, vendor rate cards, billing milestones.
Capital and scheduling
  • Primavera P6
  • Autodesk Construction Cloud
  • Procore
  • MS Project
XML/XER parsers, native cloud REST APIs, webhook listeners Master Gantt tasks, trade allocations, daily site logs, subcontracts.
Team collaboration
  • Slack
  • Microsoft Teams
  • Jira
  • PagerDuty
  • Email
Inbound and outbound webhooks, bot notifications, interactive cards Anomaly alerts, root-cause reports, one-click intervention approvals.
Data warehouses and BI
  • Snowflake
  • BigQuery
  • Databricks
  • Power BI
  • Tableau
Parquet/JSON-LD exports, JDBC/ODBC, automated S3/Blob sync Verified temporal data extracts, graph metrics, executive KPI feeds.

Security, access control and governed execution

Connecting AI models and enterprise tools across a single data layer demands rigorous perimeter controls.

  • Unified identity and RBAC/ABAC

    All API calls, webhook events and MCP tool executions map to enterprise identities through single sign-on (SAML 2.0, LDAP or Active Directory). A project engineer’s MCP agent cannot query financial nodes that the engineer’s API token lacks permission to view.

  • Human-in-the-loop writeback gates

    Systems can ingest data and run simulations autonomously. State-altering writebacks, such as releasing a budget hold in SAP or shifting contractual milestones in P6, need authenticated human sign-off.

  • Cryptographic in-transit security

    All REST endpoints, webhook deliveries and MCP sessions are encrypted with TLS 1.2 or 1.3, with HMAC signature validation on all incoming webhooks to ensure message provenance.

Unify your AI agents and enterprise tools.

Break down the barrier between your systems of record and frontier AI. Discover how the JanusKS integration fabric delivers connectivity, open standards and operational certainty across your entire technology stack.