MCP Native · Linux Foundation Project
Open Context Engine
for AI Agents
From raw operational data to actionable context. The missing layer that tells AI how your systems actually work.
AI APPLICATIONS – Agents | Copilots | Assistants | RAG
TRANSPORT: MCP
➤➤ SODA CONTEXTURE ⇐⇐ — OCS: Operational Context for AI Agents
OPERATIONAL SYSTEMS – Prometheus | Kubernetes | S3 | PostgreSQL | SAP
THE PROBLEM
AI can query your systems.
But at what cost?
MCP gives AI transport to your operational systems. But transport without context leads to guesswork, retries, and unreliable results.
Accuracy
AI guesses instead of knowing. Wrong table names, incorrect query syntax, missed relationships.
→ Queries `order` table instead of `orders`.
Consistency
Different tools interpret the same data differently. No shared definitions or thresholds.
→ Tool A says CPU is “high” at 80%. Tool B says 60%.
Latency
It rediscovers the schema on every request, causing metadata to be fetched and retried during each query.
→ 2–5 seconds added to every query.
Cost
Tokens spent on trial-and-error. Embedding entire schemas in prompts. Retry storms.
→ Embed entire schema in prompt. Costs add up fast.
Scale
Custom context wrappers per system. Maintenance burden grows linearly with systems.
→ Works for 1 system, breaks at 50.
Reliability
Can’t reach production without trust. Your definitions don’t exist to AI.
→ Critical means SLA < 99.9% to you. AI doesn’t know.
THE SOLUTION
Context that makes AI work
Contexture provides operational context to AI agents. MCP provides transport. Together: AI agents that actually work.
OPEN CONTEXT SCHEMA
OCS: A standard format for
operational context
Define once. Query consistently. Four primitives that capture everything AI needs to understand your systems.
Entity
What exists in your system
Tables, pods, buckets, metrics, deployment, services.
Relationship
How things connect
Foreign keys, pod→deployment, cross-system joins
Semantics
How to query
Use rate() for counters · Critical = SLA < 99.9%
Policy
Constraints AI should know
PII fields · GDPR scope · Retention rules · Lineage
COVERAGE
Works with your stack
Native adapters for the operational systems you already use. Auto-extract what they can. Add your knowledge on top.
OBSERVABILITY
Prometheus
Grafana
Datadog
OpenTelemetry
INFRASTRUCTURE
Kubernetes
Docker
Terraform
AWS/GCP/Azure
DATABASES
PostgreSQL
MySQL
MongoDB
InfluxDB
STORAGE
S3 / GCS
MinIO
NetApp
Pure Storage
ENTERPRISE
SAP
ServiceNow
Salesforce
Workday
DATA PLATFORMS
Snowflake
Databricks
BigQuery
Airflow
GET STARTED
Ready to give your agents context?
Join the community building the standard for operational context. Adapters, schemas, and production deployments welcome.