Shared agentsInfinite Retention
No retention tiers, no forced expiry.
- Developer & Data Infrastructure
//MCP Server
MCP Server. Telemetryyour agents can query.
Petabyte-scale data, agent-accessible. Give your AI agents direct, programmable access to your telemetry.
Investigation
Autonomous RCA
Pre-built tools let AI investigate logs, metrics, and traces instantly.
Any model
LLM-agnostic (BYOAI)
Standardized via MCP. Use any LLM while your telemetry stays secure.
Security
Zero-trust AI access
Every agent query authenticated, RBAC-scoped, and logged with complete audit trails.
//Overview
What is an observability MCP server?
An observability MCP server exposes telemetry to AI agents through the Model Context Protocol, so agents such as Claude, Cursor or your own can query logs, metrics and traces to investigate problems.
The DataObserve Sense MCP Server turns intent into SQL or PromQL, searches tools dynamically, correlates signals with context and enforces two-tier policies, read-only tools, rate limits and query timeouts, with any LLM you choose.
//Give agents the access you have
Intent in, correlated telemetry out
Natural language to SQL/PromQL
Intent becomes optimized queries across your streams.
Dynamic tool search
Agents fetch tool schemas just in time: maximum telemetry, zero token waste.
Context-aware correlation
Logs, metrics, and traces unified for correlated answers.
Enterprise gateway ready
Plugs into MCP gateways like Cloudflare, Kong, or ContextForge.
Direct client connection
Connect a CLI or IDE via stdio/SSE in under 5 minutes.
Two-tiered policy enforcement
Your gateway decides which agents; native RBAC decides which streams.
//Explore more withDataObserve
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One place to manage LLM, MCP, and A2A traffic, with shared authentication, policies, and observability.
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AI Catalog
Discover, manage, and govern models, MCP servers, tools, skills, prompts, resources, and agents in one place.
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AI Security
Agents reach tools, APIs, databases, and services.
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//FAQs
MCP Server: questions teams ask
Can I use a self-hosted model?
Yes. Telemetry stays put while the model runs anywhere.
Do I need to change my instrumentation?
No. The server is a read-path interface; collectors stay unchanged.
Can an agent break anything?
No. Rate limits, query timeouts, and read-only tools apply; nothing destructive is exposed.
Which AI clients can connect?
Any client that supports the Model Context Protocol, either directly or through an enterprise gateway.
Is the MCP Server read-only?
Yes. Tools are read-only, with rate limits and query timeouts, so an agent can investigate but not change your data.
