claude-world/claude-101
27 practical AI tools (MCP server + CLI) — real computation for writing, analysis, coding, and business
Platform-specific configuration:
{
"mcpServers": {
"claude-101": {
"command": "npx",
"args": [
"-y",
"claude-101"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
> 27 AI tools as MCP server + CLI + Skill. Just talk to Claude — it handles the rest.
[](https://pypi.org/project/claude-101/) [](LICENSE) [](https://www.python.org/downloads/) [](https://github.com/claude-world/claude-101/actions/workflows/ci.yml)
[English](README.md) | [繁體中文](README.zh-TW.md) | [日本語](README.ja.md)
Install once, get 24 superpowers. Claude 101 is an MCP server that gives Claude real computation abilities — statistics, code analysis, SQL parsing, financial math, and more — things LLMs cannot do reliably on their own.
How it works:
You: "Compare React, Vue, and Svelte for our project"
↓
Skill tells Claude to call build_comparison_matrix
↓
MCP tool computes: Vue 8.1 > React 7.9 > Svelte 7.5 (weighted scoring)
↓
Claude writes: "Vue leads by 0.2 points. The result is sensitive to
the DX weight — if you value Ecosystem more, React wins."Without claude-101: Claude guesses at numbers and rankings. With claude-101: Claude uses precise computation, then reasons about the results.
Add to your .mcp.json (project root or ~/.claude/.mcp.json):
{
"mcpServers": {
"claude-101": {
"command": "uvx",
"args": ["--from", "claude-101[mcp]", "claude-101-server"]
}
}
}The Skill teaches Claude *when* to call each tool and *how* to use every field in the result:
mkdir -p ~/.claude/skills
curl -sL https://raw.githubusercontent.com/claude-world/claude-101/main/skills/claude-101-mastery.md \
-o ~/.claude/skills/claude-101-mastery.mdDone. Start a new Claude Code session and just talk na
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