WorkingAgents generates a high-volume stream of structured governance data — every tool call, permission check, guardrail evaluation, and cost attribution across every agent action. ClickHouse is built to ingest, store, and query exactly that kind of data at scale. The synergy is direct: WorkingAgents produces the governance telemetry, ClickHouse makes it queryable in real time.
The Fit
ClickHouse is the fastest real-time analytical database, used by Anthropic for AI-era observability, with native OpenTelemetry support, an open-source MCP server, and ClickStack for unified logs/traces/metrics. Enterprises including Lyft, Sony, IBM, GitLab, and HubSpot run on ClickHouse Cloud across AWS, GCP, Azure, and Alibaba.
WorkingAgents is the access control and orchestration layer between AI agents and enterprise systems — three gateways, capability-based permissions, guardrails at every checkpoint, full audit trails.
Both already speak MCP. ClickHouse ships an open-source MCP server. WorkingAgents is an MCP server with 86+ governed tools. The integration surface is native.
Synergy Areas
1. Real-Time Governance Analytics
Every WorkingAgents agent action produces structured telemetry: user, agent, tool, arguments, permission check result, guardrail evaluations, latency, cost. At enterprise scale — thousands of agents, millions of tool calls per day — this data needs a backend that handles high-ingest, columnar, real-time queries.
ClickHouse is purpose-built for this. Stream WorkingAgents audit logs into ClickHouse and enterprises get:
- Sub-second queries across billions of governance events
- Real-time dashboards: agent activity, permission denials, guardrail triggers, cost by team
- Ad-hoc investigation: “Show me every action agent X took on Tuesday between 2-4pm that triggered a PII guardrail”
- Anomaly detection: unusual permission patterns, cost spikes, tool-calling frequency changes
2. Agent-Queryable Governance Data
ClickHouse’s MCP server lets AI agents query ClickHouse directly using natural language. Combined with WorkingAgents’ permission model:
- A compliance agent queries governance logs through ClickHouse’s MCP server — “Which agents accessed customer data last week without human approval?” — governed by WorkingAgents to only see logs within its authorized scope
- A cost optimization agent queries spend attribution — “Which team’s agents exceeded their monthly budget?” — with results scoped by the agent’s permissions
- An SRE agent investigates an incident — “Correlate guardrail failures with latency spikes in the last 6 hours” — accessing only the infrastructure telemetry it’s authorized to see
The governance data itself is governed. ClickHouse stores and queries it. WorkingAgents controls who can access what.
3. Cross-Signal Correlation
ClickHouse’s unified data model for logs, traces, metrics, and sessions enables correlation that single-signal systems miss. WorkingAgents’ governance telemetry becomes another signal in the stack:
- Correlate agent permission denials with application errors — are agents failing because they lack access they need?
- Correlate guardrail trigger rates with model version changes — did the new model increase PII leakage attempts?
- Correlate agent cost spikes with infrastructure metrics — is an agent in a retry loop burning through API budget?
WorkingAgents provides the governance signal. ClickHouse correlates it with everything else.
4. Compliance Reporting at Scale
Regulated enterprises need periodic compliance reports: which agents accessed what data, how many actions required human approval, what percentage of tool calls triggered guardrails. Across millions of events, this is an analytical workload.
ClickHouse’s compression and columnar storage make petabyte-scale compliance queries fast and affordable. Materialized views pre-aggregate common compliance metrics. WorkingAgents provides the structured governance data. ClickHouse makes it reportable.
Starting Point
WorkingAgents’ audit logs are structured JSON. ClickHouse ingests structured JSON natively. The integration is a sink configuration — stream governance telemetry to ClickHouse, point ClickStack dashboards at it, and expose the data to governed agents through ClickHouse’s MCP server.
Both products already speak MCP. Both already serve enterprises that need real-time observability at scale. The conversation is about connecting the governance layer to the analytics layer — and what becomes possible when governance data is queryable at ClickHouse speed.
WorkingAgents is an AI governance platform specializing in agent access control, orchestration, and security for enterprises deploying AI at scale.