Integrations.
Connected in minutes, maintained automatically. Topogy ingests the signals that matter from your existing tools so you can focus on building.
Source control
AI coding tools
Claude Code
Session telemetry via OpenTelemetry, context delivery via MCP. Full visibility into agent activity and context usage.
Cursor
Agent session tracking, context injection, output correlation. Understand how Cursor is used across your team.
Codex
OpenAI agent session tracking, output correlation, and adoption metrics across your engineering org.
Communication & planning
Slack
Alerts, workflow triggers, planning conversations. Topogy surfaces insights and accepts commands where your team already communicates.
Linear
Issues, projects, cycles. Connect planning artifacts to code changes and agent sessions for end-to-end traceability.
Jira
Tickets, sprints, epics. Full support for Jira-native workflows and planning hierarchies.
CI/CD & infrastructure
GitHub Actions
Pipeline runs, deployment events, test results. Connect build outcomes to code changes and agent activity.
AWS
Cost and usage data, service inventory, commitment utilization. Powers infrastructure cost attribution and optimization.
GCP
Billing exports, resource inventory, commitment tracking. Same context-aware cost analysis as AWS.
Observability & data
Datadog
Usage and billing data, monitoring signals. Connect observability spend and signals to your system model.
Snowflake
Warehouse usage, credit consumption, query patterns. Infrastructure cost optimization with context.
Databricks
DBU consumption, workspace usage, job costs. Powered by the same cost attribution model.
Open standards.
MCP
The primary interface between Topogy and AI agents. Agents query the knowledge graph for context, report what they build, and receive feedback — all via MCP. Topogy is an MCP server that any compatible agent can connect to.
OpenTelemetry
Ingests structured telemetry from AI coding tools — session metrics, token usage, tool invocations, and correlation attributes. The data layer that powers engineering productivity and AI usage analytics.