# NLTK

> Use this tool when you need to find the longest valid words within given letter constraints for word games like Spelling Bee. It reads from a local corpus file, filters out previously used words, and ensures all letters are within the allowed set, providing efficient word selection. The tool takes letter constraints as input and returns the longest matching word as output, making it ideal for strategic word game play.

Canonical page: https://skillsregistry.net/skills/kwen1510-nltk  
JSON: https://api.skillsregistry.net/v1/skills/kwen1510-nltk

## Description

A lightweight MCP server that provides a word-finding tool for word games, specifically designed to read from a local corpus file and return the longest valid word matching given letter constraints. The implementation filters words efficiently, excluding previously used words and ensuring all letters are within the allowed set, making it useful for games like Spelling Bee where players need strategic word selection.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kwen1510-nltk)
- **Repository:** <https://github.com/kwen1510/mcp-nltk>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kwen1510-nltk"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kwen1510-nltk` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kwen1510-nltk/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
