LexiLint MCP
Offline spell check and BYOK grammar checking for AI assistants. 100% offline spell check via nspell (zero tokens, zero API calls). BYOK grammar checking with your own Gemini, OpenAI, or Claude API key. Works with Claude Desktop, Cursor, ChatGPT, and any MCP-compatible tool. 8 languages supported.
README
LexiLint MCP
Spell and grammar checking for AI assistants via Model Context Protocol (MCP).
Works with Claude Desktop, Cursor, ChatGPT, and any MCP-compatible tool.
Features
- 🔒 100% offline spell check — uses nspell with local dictionaries. Zero tokens consumed. Zero API calls. Works without internet.
- 🤖 BYOK grammar check — bring your own Gemini (free tier), OpenAI, or Claude API key. Your text goes directly to your chosen provider.
- 💰 Zero token cost for spell check — stop wasting AI tokens on typo detection
- 🌍 8 languages — English (US/UK), Spanish, French, German, Polish, Russian, Turkish
- ⚡ Instant results — no latency, no rate limits, unlimited usage
Installation
Claude Desktop / Cursor / ChatGPT
Add to your MCP config:
{
"mcpServers": {
"lexilint": {
"command": "npx",
"args": ["-y", "lexilint-mcp"]
}
}
}
npm
npm install -g lexilint-mcp
Usage
Once installed, your AI assistant can use these tools:
spell_check— check text for spelling errors (100% offline)grammar_check— check text for grammar issues (requires API key)
Example
"Use the spell_check tool to check this text: 'Ths is a tset'"
The spell check runs locally — no tokens consumed.
Token Cost Comparison
| Method | Cost per 500-word check |
|---|---|
| Ask AI directly ("fix typos in this") | ~$0.02 (GPT-4) / ~$0.015 (Claude) |
| LexiLint MCP spell_check | $0.00 |
Grammar Check Setup
Grammar checking uses your own API key (BYOK):
- Get a free Google Gemini API key
- Set the environment variable:
{
"mcpServers": {
"lexilint": {
"command": "npx",
"args": ["-y", "lexilint-mcp"],
"env": {
"GEMINI_API_KEY": "your-key-here"
}
}
}
}
Supported providers: GEMINI_API_KEY, OPENAI_API_KEY, ANTHROPIC_API_KEY
Links
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.