WordComb MCP Server
Exposes a word combination engine with tools to generate permutations and check words against English and Arabic dictionaries, accessible via SSE.
README
WordComb MCP Server
Exposes the WordComb combination engine as a remote MCP server over SSE — any AI agent can connect to it over the internet.
Endpoints
| Method | Path | Description |
|---|---|---|
GET |
/sse |
SSE connection — AI connects here |
POST |
/messages?sessionId=... |
AI sends tool calls here |
GET |
/health |
Health check for Railway |
Tools
| Tool | Description |
|---|---|
generate_combinations |
Generate all permutations of characters at a given length |
count_combinations |
Count permutations instantly without generating |
check_word |
Check if a single word exists in EN or AR dictionary |
batch_check_words |
Check up to 50 words at once |
Deploy to Railway
1. Push mcp-server/ as its own repo (or subfolder)
cd mcp-server
git init
git remote add origin https://github.com/Yossof0/wordcomb-mcp.git
git add .
git commit -m "Initial MCP server"
git push -u origin main
2. Create a new Railway project
- Go to railway.app
- New Project → Deploy from GitHub repo → select your repo
- Railway auto-detects
railway.jsonand runsnpm run build && npm start - Set the
PORTenv variable if needed (Railway injects it automatically)
3. Get your public URL
Railway gives you a URL like https://wordcomb-mcp-production.up.railway.app
Connect to Claude Desktop
Edit claude_desktop_config.json:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"wordcomb": {
"type": "sse",
"url": "https://your-app.up.railway.app/sse"
}
}
}
Restart Claude Desktop — WordComb tools appear automatically.
Local dev
npm install
npm run dev
# Server on http://localhost:3000
Example prompts once connected
"Generate all 3-letter combinations of A, B, C, D, E"
"How many combinations can you make from S, T, A, R using all 4 letters?"
"Generate combinations of 1, 2, 3 then check which are real English words"
"من كلمات ع، ل، م — ما التوليفات الممكنة من 3 حروف؟"
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.