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Webhook Tester

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About webhook-tester-mcp

MCP ServersFreemium

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Overview

Python8 stars

Connections & Capabilities

Connects To

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Quickstart

Install

pip install -r

Claude Desktop Config

{
    "mcpServers": {
      "webhook-tester-mcp": {
        "command": "fastmcp",
        "args": ["run", "{{fullPath}}\\Webhook-test_mcp\\server.py"]
      }
    }
  }

Key Features

MCP Server integration - Connects directly with MCP-enabled AI assistants for seamless workflow automation.

Webhook-test.com API connectivity - Leverages a reliable, external infrastructure to reliably capture and inspect HTTP requests.

Real-time event logging - Provides immediate visibility into incoming webhook payloads, headers, and metadata.

Lightweight server architecture - Minimalist design that ensures low overhead during local development sessions.

Protocol-agnostic inspection - Supports standardized HTTP request monitoring regardless of the underlying content type.

Use Cases & Problems Solved

Use Cases

•Use when you need to verify if an external service is correctly sending POST requests to your local development environment.
•Perfect for debugging complex integration webhooks without needing to deploy your code to a production server.
•Ideal if you need to inspect the exact headers, payload, and query parameters of incoming webhook requests in real-time.
•Great for automating the testing of API callbacks by leveraging the webhook-test.com infrastructure directly from your IDE.
•Use when building MCP-compatible AI agents that require the ability to receive and parse dynamic webhooks programmatically.
•Perfect for catching and logging malformed JSON payloads sent by third-party services during integration development.

Problems Solved

✓Eliminates the need to manually expose local development ports to the public internet using complex tunneling tools.
✓Reduces the friction of testing asynchronous API integrations by providing a persistent endpoint for callback capture.
✓Removes the uncertainty of whether an external service actually triggered a webhook by providing a centralized, searchable request log.
✓Solves the issue of fragmented webhook testing by integrating request inspection directly into the Model Context Protocol (MCP) workflow.

Who It's For

Backend software engineers building API-driven integrationsAI application developers working with MCP-compliant toolsTechnical integration consultants setting up third-party service callbacksDevOps engineers troubleshooting webhook delivery failuresFull-stack developers prototyping real-time event-driven architectures

Metrics

Discovered2/14/2026

Reviews0

Saved By0 users

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