Keep Your AI Tools Working Reliably
Monitor MCP servers, track tool schema changes, and detect capability drift before your AI agents start failing.
Free forever on your first integration · No credit card required
What you get in the first week
Concrete wins when you point Intello at your third-party specs and alert channels.
- Monitor MCP manifests and tool schemas so you see when the model's tool surface drifts.
- Catch added, removed, or modified tools before agents call APIs that no longer match your prompts.
- Align engineering and research on the same spec-backed timeline of what changed and when.
Silent Agent Failures
Your AI agent relies on MCP servers to access tools and data. When a tool schema changes or a server updates its capabilities, your agent might start failing silently or producing incorrect results. You only find out when users report problems—and debugging AI failures is notoriously difficult.
First-Class MCP Monitoring
First-class MCP monitoring tracks tool schemas, capabilities, and availability. Know immediately when your AI's tool surface changes so you can update prompts and handling logic. Catch capability drift before it causes hallucinations or failures.
Key capabilities
Everything you need to stay ahead of API changes.
MCP Server Monitoring
Purpose-built monitoring for Model Context Protocol servers. Track availability, response times, and capability changes.
Tool Schema Tracking
Monitor changes to tool definitions, parameters, and return types. Understand what your AI can and cannot do.
Capability Drift Detection
Detect when tools are added, removed, or modified. Get alerts before your agent tries to use deprecated capabilities.
AI-Specific Alerting
Alerts tuned for AI workflows. Understand the impact of changes on prompts, function calling, and agent behavior.
Questions for AI Teams
What evaluators ask before rolling this out—formats, setup, and alerts.
Contact usBoth. In addition to OpenAPI and GraphQL, you can add MCP server manifests and get diffs when tools and capabilities change.
Spec diffs surface the change, and risk classification helps you treat it as breaking when it can invalidate your agent's assumptions or your validation logic.
You configure Intello with the spec or manifest you already use. We poll and diff on the schedule you choose—no extra infrastructure on your side.
You get a timestamped history of what the tool contract looked like, so you can line up model or prompt changes with real upstream changes instead of debugging blind.
Explore more
Same product story—deeper detail on flow, vendors, and docs.
Build More Reliable AI Applications
Start monitoring your MCP servers and tool integrations to catch issues before your users do.