This repository provides mock observability context for Port's Agentic Engineering Platform demos.
Access via GitMCP URLs:
- Datadog:
port-labs.gitmcp.io/mock-mcp/datadog - GitHub:
port-labs.gitmcp.io/mock-mcp/github - NewRelic:
port-labs.gitmcp.io/mock-mcp/newrelic - AWS:
port-labs.gitmcp.io/mock-mcp/aws
Each subdirectory contains an llms.txt that instructs AI agents how to behave when simulating that vendor's tools.
Port sends context about entities (services, incidents) and hints about what kind of response to generate. The AI reads the relevant llms.txt and generates appropriate mock responses.
Port can include hints in the context:
found_issue- Generate data showing a problemnothing_found- Generate healthy/clean datanot_my_domain- Explain this tool can't help