Connect AI agents directly
to your telemetry plane.
Enterprise Model Context Protocol (MCP) server providing 25 forensic analysis and remediation tools for Claude Code, Cursor, and autonomous engineering agents.
Deep Dive
Core Capabilities & Architecture
Explore how Model Context Protocol (MCP) instruments, processes, and correlates high-cardinality telemetry at scale.
Give your AI assistants real observability tools
Equip Claude Code, Cursor, and Windsurf with live production tools: get_trace, query_metrics, search_logs, investigate_incident, and get_service_health.
- Full conformance with the Model Context Protocol 2026-07-28 specification
- 11 read-only forensic inspection tools plus 1 human-confirmed write tool
- Opaque cursor pagination across high-volume log streams and span trees
- Direct integration with IDE assistants and terminal agents
Prevent runaway queries from agent loops
Autonomous agent queries pass through ClickHouse cost guards that enforce strict 200,000,000 estimated-row ceilings and query deadline timeouts.
- Pre-execution query analysis bounds ClickHouse scanning costs
- Per-tool timeout deadlines ensure agent responsiveness
- Redis rate limiting and token bucket quotas per service account
- Structured query audit logging for compliance and governance
Human-in-the-loop confirmation before action
Remediation tools cannot execute unattended. The server returns a signed confirmation payload that requires an authenticated operator token before execution.
- Sealed cryptographic request state prevents argument tampering
- Incident mitigation actions require explicit operator sign-off
- Audit trail logs every agent inquiry, tool selection, and outcome
- Multi-role access control restricts agent tool execution scopes
Built for every team that cares about reliability
One platform, tailored to how your team actually works.
Debug from your IDE
Ask Cursor or Claude Code to inspect the production trace causing a local test failure.
Automated triage partner
Let your autonomous agent summarize incident evidence while you join the bridge.
Safe AI integration
Ensure AI assistants can query telemetry without data leakage or runaway database costs.
Transport over existing cost-guarded query APIs
The aiAxonIQ MCP server is a secure transport layer over verified internal tool registries. It introduces no raw SQL execution, extracts tenant identities from cryptographic tokens, and redacts internal identifiers before returning payloads.
Also in the platform
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