
webhook-tester-mcpFastMCP server for managing and testing webhooks via webhook-test.com API
Overview
Key features
- Create new webhooks
- List all available webhooks
- Fetch webhook's details
- Fetch webhook payloads
- Delete webhooks
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Webhook Management
Use the server to manage webhook tokens, inspect incoming requests, and perform analytics.
Webhook Testing
Test webhooks using the server's modular tools and resources.
Pros & Cons
Pros
- Enables webhook observability and management
- Allows inspecting incoming requests and performing analytics
- No need to write custom API integrations
Cons
- Requires FastMCP framework
- Limited information on scalability and performance
Reviews
Sign in to leave a review.
No reviews yet. Be the first!
Q&A
What are the main limitations of this tool?
It requires the FastMCP framework to run and the documentation does not address scalability or high‑throughput performance, so it may not be suitable for very large or production‑grade deployments.
Asked by Jana Krejčí · Apr 25, 2026
What core operations can I perform through the server?
The server lets you create new webhooks, list all existing webhooks, fetch individual webhook details, retrieve payloads from past requests, and delete webhooks—no custom API code required.
Asked by Bilal Choudhury · Apr 21, 2026
How do I get started with the webhook‑tester‑mcp server?
Clone the repository, run `pip install -r requirements.txt`, configure the .env file with your webhook‑test.com credentials, and launch the server via FastMCP (e.g., `python server.py`). For testing with Claude Desktop, edit `claude_desktop_config.json` to point to the local server command.
Asked by Ximena Torres · Apr 5, 2026
Ask a question
MCP Servers alternatives

Open-source MCP server that lets LLMs drive real browsers via Playwright and accessibility snapshots.

Python agent framework from the Pydantic team for building type-safe GenAI apps.

Adaptive memory layer that helps AI agents learn from context over time.

AI email assistant that organizes, drafts replies, and helps you reach inbox zero faster.

Open-source 24/7 local screen and audio recording for building context-aware AI apps

TypeScript library for building and orchestrating AI agents with tools, memory, and multi-agent workflows.

Bringing the bankless onchain API to MCP

Python tool for converting files and office documents to Markdown.
Trending now

Accurate Homework Help with Full Explanations

Document intelligence API that parses, splits, OCRs, and extracts structured data from complex PDFs, slides, and spreadsheets.

Open multimodal 12B model handling interleaved images and text with a 128K context window.

Sponsored answers, paid per click.
