Understand and improve how AI agents use your MCP
Track Live Sessions. QA with simulated Agent Sessions.
Find where your MCP is breaking
Agentic Testing
Simulate how agents behave across prompts and workflows — and pinpoint where tool interactions break.
MCP
Query and understand how agents use your MCP
Explore tool calls, sessions, and agent behavior using natural language — powered by built-in agent behaviour metrics.
Deploy Reliably
Simulate agent behavior, validate tool usage, and monitor real-world performance — all in one platform.
Budget Friendly
Test, debug, and monitor your MCP with confidence.
From early testing to production reliability
Faq
What does Surfa actually do?
Surfa helps you test and validate how AI agents use your MCP. You can simulate agent scenarios, inspect tool usage, and identify failures before deploying to production.
How is this different from Agent Evals?
Most eval tools focus on model outputs. Surfa focuses on agent–tool interactions — ensuring your MCP is used correctly, reliably, and without failures.
How is this different from Posthog / Sentry?
1. AI-powered MCP optimization - We analyze your tool usage patterns and suggest specific redesigns to improve effectiveness (e.g., 'merge these 3 tools that are always called together' or 'this tool is never used, consider removing it') 2. Automated scenario testing - Define expected behaviors ('when user asks X, tool Y should be called within Z seconds') and catch regressions before they hit production. Test across different clients (Claude, ChatGPT, etc.) to ensure consistency. 3. MCP-native analytics - Track success rates, tool sequences, and performance at the session level, not just individual events. See the full conversation flow, not just logs. PostHog/Sentry tell you what broke, we help you prevent it from breaking and make it better.
Can I test with different models (Claude, OpenAI, etc)?
Yes. You can simulate agent behavior across different models and configurations to see how each interacts with your MCP.
What is MCP contract validation?
You can define expected behavior — such as which tools should be called or how agents should respond. Surfa detects when agents deviate from these expectations or break the contract.
What’s the difference between Developer and Production plans?
Developer: Test and validate your MCP during development Production: Monitor real agent usage, track performance, and improve reliability over time
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Test agent behavior, validate tool usage, and catch failures before they reach users.