What are the prerequisites for using blastengine-mailer MCP Server?
You need Node.js with ES module support, a Blastengine API account, and both your API user ID and API key.
@r3-yamauchi
基本信息
暂无概览
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
It is a Model Context Protocol (MCP) server built in JavaScript that enables large language models (LLMs) to send emails via the Blastengine API. It is designed for developers who want to integrate email-sending capabilities into MCP-compatible applications like Claude Desktop.
Install Node.js (ES module support) and obtain a Blastengine API account with credentials. Install dependencies with npm install, build with npm run build, then configure the server in your MCP client (e.g., Claude Desktop) by adding the server command and environment variables BLASTENGINE_USER_ID and BLASTENGINE_API_KEY. Invoke the send_email tool with required parameters: to, from, subject, and text.
send_email tool.You need Node.js with ES module support, a Blastengine API account, and both your API user ID and API key.
Add the server configuration to the Claude Desktop config file (`claude_desktop_config.json`) with the command `node`, the path to `server.js`, and the environment variables `BLASTENGINE_USER_ID` and `BLASTENGINE_API_KEY`.
It requires `to`, `from`, `subject`, and `text` parameters.
Use the MCP Inspector by running `npm run inspector`, which provides a browser-based debugging interface.
It communicates via stdio.
不止于 CSS
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Model Context Protocol Servers

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
评论