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WebMCP Tools

Register, manage, A/B test and monitor MCP tools from a single dashboard

★★★★½ 4.5/5 Free plan available Verified February 28, 2026

⚡ Quick Verdict

Best for:

Teams and developers who need a central dashboard to register, monitor, and iterate on their WebMCP and MCP tools

Not for:

Developers who only have one or two simple tools and don't need analytics or A/B testing

Pros

  • Central dashboard for all your MCP tools
  • A/B testing built-in — iterate on tool descriptions and parameters
  • Full audit trail — every call, error, and change is tracked
  • Tool versioning — update and roll back without redeploying
  • Usage monitoring and analytics per tool
  • Template library to get started fast
  • No redeployment needed — update tools from the dashboard
  • Free tier available
  • Open source tool collection on GitHub

Cons

  • Early stage product
  • Requires account registration
Try WebMCP Tools →

The Problem: Managing MCP Tools Is Hard

If you’ve built MCP or WebMCP tools, you know the pain. Every time you want to change a tool’s description, adjust parameters, or add a new tool, you need to redeploy. There’s no visibility into which tools are being called, how often, or whether your descriptions are clear enough for the AI to use them correctly.

You end up flying blind — shipping tools, hoping the AI picks the right one, and debugging by trial and error.

What WebMCP Tools Solves

WebMCP Tools is a SaaS platform that gives you a single dashboard to register, manage, and monitor all your MCP tools. Think of it as the admin panel your AI tools have been missing.

Tool Registration & Management

Instead of hardcoding tool definitions in your source code, you register them through the dashboard. Change a tool’s name, description, or input schema — and it takes effect immediately. No redeployment required.

This is a game-changer for iteration speed. When you’re fine-tuning how an AI agent interacts with your tools, the last thing you want is a deploy cycle for every wording change.

A/B Testing

This is where it gets interesting. WebMCP Tools lets you A/B test your tool definitions — run two versions of a tool description side by side and see which one the AI calls more accurately.

Why does this matter? Because the way you describe a tool to an AI agent dramatically affects how often and how correctly it gets used. A subtle change in wording can be the difference between the AI picking the right tool 60% or 95% of the time.

With A/B testing, you can:

  • Test different tool names
  • Compare description variations
  • Experiment with parameter schemas
  • Measure which version performs better

Monitoring & Analytics

Every tool call is tracked. You get visibility into:

  • Call frequency — which tools are being used most
  • Usage patterns — when and how tools get invoked
  • Error rates — which tools are failing and why

This observability is essential when you’re running multiple tools in production. You can’t improve what you can’t measure.

Audit Trail & Error Tracking

Every interaction with your tools is logged in a full audit trail. You can see exactly:

  • Who called which tool and when
  • What inputs were passed and what outputs were returned
  • Which calls failed, with detailed error context
  • How the AI agent chose between available tools

This is critical for debugging, compliance, and understanding how AI agents actually use your tools in the wild. When something goes wrong — and it will — you have the full history to diagnose the issue, not just a generic error message.

Versioning & Updates

WebMCP Tools treats tool definitions as versioned artifacts. Every change you make — a description tweak, a parameter rename, a schema update — creates a new version.

This gives you:

  • Instant updates — change a tool definition and it’s live immediately, no redeployment
  • Rollback — if a new version performs worse, roll back to the previous one in one click
  • Version history — see exactly what changed, when, and how it affected usage
  • Safe iteration — experiment freely knowing you can always revert

Combined with A/B testing, versioning turns tool management from a deploy-and-pray process into a data-driven iteration cycle.

Template Library

Don’t start from scratch. WebMCP Tools includes a template library with pre-built tool definitions for common use cases. Pick a template, customize it, and deploy — all from the dashboard.

Open Source Tools

WebMCP Tools also maintains an open source collection of ready-to-use tools at github.com/WebMCP-Tools/tools. Browse community-contributed tool definitions, fork them for your own use, or contribute back. It’s a great starting point if you want to see real-world WebMCP tool definitions before building your own.

How It Works with WebMCP

WebMCP Tools and WebMCP (the browser protocol) are complementary:

  • WebMCP is the protocol — it defines how AI agents call tools in the browser
  • WebMCP Tools is the management layer — it’s where you define, test, and monitor those tools

You build your tools using the WebMCP protocol. You manage them through the WebMCP Tools dashboard. The SDK loads your tool definitions at runtime, so changes in the dashboard are reflected instantly in the browser — no code changes, no redeployment.

Developer → WebMCP Tools Dashboard → SDK → Browser → AI Agent

Getting Started

  1. Sign up at web-mcp.tools
  2. Register your tools through the dashboard
  3. Add the SDK to your web app (one script tag)
  4. Monitor usage and iterate on your tool definitions

The free tier is enough to get started and validate your tool setup. Scale up as your usage grows.

I built WebMCP Tools to solve my own pain managing MCP tools across multiple projects. If you’re building with MCP or WebMCP, give it a try — web-mcp.tools.