How do I install dependencies?
Run `pip install -r requirements.txt` in the cloned repo.
@alimo7amed93
基本情報
FastMCP server for managing and testing webhooks via webhook-test.com API
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"webhook-tester-mcp": {
"command": "fastmcp",
"args": [
"run",
"{{fullPath}}\\Webhook-test_mcp\\server.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A FastMCP server for interacting with webhook-test.com. It automates management of Webhook tokens (URLs), inspection of incoming requests, and analytics without custom API integrations. Built for developers needing webhook observability and management.
Clone the repo, install dependencies with pip install -r requirements.txt, and configure a .env file. For use with Claude Desktop, add a configuration entry to the claude_desktop_config.json file.
Run `pip install -r requirements.txt` in the cloned repo.
Edit the `claude_desktop_config.json` file with the command `fastmcp` and arguments pointing to the `server.py` file.
The project is licensed under the MIT License.

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

Agent-Native Terminal

Turn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.
OrangePro local-first CLI + MCP server for behavior mapping, grounded test generation, and dynamic proof.

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.
コメント