Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@APLCart MCP Serverhow to split a string on a separator"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
APLCart MCP Server
A Model Context Protocol (MCP) server that exposes the APLCart idiom collection with semantic search capabilities. APLCart is a searchable collection of APL expressions with descriptions.
Features
Find APL expressions by exact syntax match
Search across syntax, descriptions, and keywords
Get keywords for specific APL expressions
Natural language queries using OpenAI embeddings
Installation
Prerequisites
Python 3.11 or higher
OpenAI API key (for semantic search functionality)
Using uv
# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh
# Clone the repository
git clone <repository-url>
cd ac-mcp
# Install dependencies
uv syncSetup
Convert APLCart Data
First, fetch and convert the APLCart TSV data to JSONL format:
# Using uv
uv run python aplcart2json.py
# Or with activated venv
python aplcart2json.py
# Optional: Generate SQLite database for faster searches
python aplcart2json.py --dbGenerate Embeddings (Optional; for Semantic Search)
To enable semantic search functionality:
# Set your OpenAI API key
export OPENAI_API_KEY='your-api-key-here'
# Generate embeddings
uv run python generate_embeddings.py
# Or with activated venv
python generate_embeddings.pyThis creates:
aplcart.index- FAISS index file containing embeddingsaplcart_metadata.pkl- Metadata for semantic search results
Usage
Running the MCP Server
# Basic usage
uv run python aplcart_mcp_semantic.py
# With SQLite database backend
APLCART_USE_DB=1 uv run python aplcart_mcp_semantic.pyUsing with Claude Code
The project includes a .mcp.json.template file that automatically configures the MCP server. Save that as .mcp.json, update it with your details, and run /mcp in Claude Code to see available servers.
You can also manually add the server:
claude mcp add aplcart "uv run python aplcart_mcp_semantic.py"Using with Claude Desktop
Add this to your Claude Desktop configuration file:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.jsonLinux:
~/.config/claude/claude_desktop_config.json
{
"mcpServers": {
"aplcart": {
"command": "uv",
"args": [
"run",
"--directory",
"YOUR/PATH/HERE/ac-mcp",
"python",
"aplcart_mcp_semantic.py"
],
"env": {
"APLCART_USE_DB": "1",
"OPENAI_API_KEY": "${OPENAI_API_KEY}"
}
}
}
}Then restart Claude Desktop to load the MCP server.
Available MCP Tools
lookup-syntax- Exact match on APL syntaxExample: lookup-syntax "⍳10"search- Substring search across syntax, description, and keywordsExample: search "matrix" limit=10keywords-for- Get keywords for a specific syntaxExample: keywords-for "∘.≤⍨∘⍳"semantic-search- Natural language search using embeddingsExample: semantic-search "how to split a string on a separator"
Standalone Search Tool
You can also use the semantic search functionality directly:
# Interactive mode
uv run python search_embeddings.py
# Single query
uv run python search_embeddings.py "find the largest number"
# JSON output
uv run python search_embeddings.py "reverse an array" --json
# More results
uv run python search_embeddings.py "matrix operations" -k 10Interactive mode commands:
Type your query and press Enter to search
Type
quit,exit, orqto exit (or Ctrl+D or Ctrl+C)
Configuration
Environment Variables
OPENAI_API_KEY- Required for semantic search functionalityAPLCART_USE_DB- Set to1,true, oryesto use SQLite database backend
File Structure
ac-mcp/
├── aplcart.jsonl # Converted APLCart data (run aplcart2json.py to generate)
├── aplcart.db # SQLite database (optional)
├── aplcart.index # FAISS embeddings index (run generate_embeddings.py to generate)
├── aplcart_metadata.pkl # Metadata for semantic search (run generate_embeddings.py to generate)
├── aplcart2json.py # Converter script
├── generate_embeddings.py # Embedding generator
├── aplcart_mcp_semantic.py # MCP server with semantic search
├── search_embeddings.py # Standalone search tool
└── pyproject.toml # Project dependenciesAbout APLCart
APLCart is a searchable collection of APL idioms and expressions maintained at https://aplcart.info/
License
This project is licensed under the MIT License - see the LICENSE file for details.
Note: The APLCart data itself is subject to its own licensing terms.