examples/enterprise/README.md
README.md: full Markdown source from the enterprise folder of Spatial9 Agent Skills. Free, MIT licensed code for immersive audio with the Spatial9 MCP server...
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Spatial9 for enterprise platforms
Governed catalog renders from the data and AI platforms enterprises already run. Every recipe follows the same rules: key in the platform's secret store, at most 3 renders at once, an idempotency_key per track and version, and results written back for audit.
Platform · Folder · Pattern
Databricks · databricks · Unity Catalog connection, Lakeflow Job, Volumes, optional AI Gateway MCP Services
Databricks Solutions Accelerator · databricks/solution-accelerator · Asset Bundle with Auto Loader, MCP, A2A and REST API routes, audit table and gold views
Snowflake · snowflake · External access integration, Python procedure, Task, Cortex Agent custom tool
Google Cloud and Vertex AI · vertex-ai · ADK agent with McpToolset, Agent Engine, Cloud Run job and Scheduler, BigQuery
AWS and Amazon Bedrock · bedrock · Strands agent, Lambda, Step Functions, S3, AgentCore Gateway
Any Python runtime · shared/spatial9_mcp.py · The MCP handshake with requests only
Any Python runtime · shared/spatial9_a2a.py · Agent2Agent tasks: send, follow, cancel, webhooks
Other orchestrators such as Prefect, Dagster, Salesforce Agentforce, ServiceNow and IBM watsonx Orchestrate can reuse shared/spatial9_mcp.py or connect to https://spatial9.ai/mcp as a remote MCP server where they support one.
Microsoft Fabric is not supported.
Guide: https://spatial9.ai/blog/spatial9-enterprise-agents-databricks-snowflake-vertex-bedrock