Stop MCP incidents before they hit users and budgets
MCP Guardrail Cloud gives small AI teams one MCP-first control plane to monitor tool reliability, replay failures, and enforce spend limits without enterprise complexity.
2M+
Tool-call events tracked
Slack · Telegram · Discord
Alert routing targets
< 15 min
MVP setup time
Problem
MCP adoption is accelerating, but reliability controls lag behind
- Timeout storms after deploys are caught too late
- Schema mismatches break agent flows in production
- Small teams need observability without enterprise overhead
- Token + tool-call spend grows without clear guardrails
Features
Everything your MCP stack needs — nothing it doesn’t
MCP Server Health Score
Track latency, timeout rate, and error rate per MCP server with trend visibility over time.
Tool-Call Replay & Validation
Inspect tool input/output, replay failures, and detect schema drift before users feel it.
Budget Guardrails
Set daily and weekly spend thresholds for model + tool usage, with proactive alerting.
Smart Incident Hints
Get auto root-cause hints like “90% timeouts from one MCP server after latest release.”
Pricing
Transparent plans for every stage
Start free, add guardrails as you scale, and move to multi-workspace operations when your team grows.
Free
Best for solo builders validating MCP workflows.
€0/month
Starter
For teams shipping first production agents.
€19/month
Growth
For scaling AI product teams and internal platforms.
€79/month
FAQ
Frequently asked questions
Who is MCP Guardrail Cloud for?
MCP Guardrail Cloud is built for indie hackers, AI startups, and agencies running agentic apps with MCP integrations.
Do I need to replace my current observability stack?
No. You can start by instrumenting only MCP-related tool calls and keep your existing logs/APM for the rest.
Which alert channels are supported?
Slack, Telegram, and Discord are available in MVP. More channels can be added based on customer demand.
Can I enforce spend limits automatically?
Yes. You can configure daily/weekly spend thresholds and receive immediate alerts before budgets are exceeded.
Is this suitable for small teams?
Yes—pricing and feature scope are intentionally designed as “just enough observability” for lean teams.