What tool does MCP Character Counter expose?
It exposes a single tool called `count-characters-in-text` that accepts text input and returns a detailed character analysis.
@webreactiva-devs
基本信息
A lightweight Model Context Protocol (MCP) server that provides detailed character analysis for text.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"character-counter": {
"command": "node",
"args": [
"/ABSOLUTE/PATH/TO/webreactiva-devs/mcp-character-counter/mcp/character-counter.js"
]
}
}
}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。
MCP Character Counter is a lightweight Model Context Protocol (MCP) server that provides detailed character analysis for text. It counts total characters, characters without spaces, letters, numbers, and symbols. It is intended for developers using MCP‑compatible AI assistants such as Claude Desktop or GitHub Copilot.
Install Node.js v17 or higher, clone the repository, run npm install, then add a server configuration to your MCP client (e.g., Claude Desktop’s claude_desktop_config.json or VS Code’s Copilot MCP settings). After restarting the client, ask the AI to analyze text, for example: “Count the characters in this paragraph” or “How many numbers are in this text: ‘123 Main St, Apt 45B’?”.
It exposes a single tool called `count-characters-in-text` that accepts text input and returns a detailed character analysis.
Claude Desktop, GitHub Copilot, and any other MCP‑compatible client that supports stdio transport.
Node.js v17 or higher is required. No additional dependencies are needed beyond those installed via `npm install`.
No. The server runs locally and only processes the text provided by the user; there is no mention of data storage or external transmission.
Clone the repository, run `npm install`, then add a server block (e.g., `"character-counter": { "command": "node", "args": ["/absolute/path/to/character-counter.js"] }`) to your MCP client’s configuration file and restart the client.
Senso MCP turns a Joomla 5 or 6 site into a remote MCP server. It runs inside Joomla itself (no extra server, no Node.js bridge) and is secured with OAuth 2.1 and Joomla's own ACL. The free pack lets an AI assistant crea

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.

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

The article (der, die, das) of 90,000 German nouns, compounds included, plus a checker that finds wrong articles in German text (“mit der Zug” → dem). Uses dictionary data, not AI guessing. Free, no login.
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
评论