bst-avl-mcp

bst-avl-mcp

Enables interactive learning and visualization of Binary Search Trees and AVL Trees through operations like insertion, deletion, and tree traversal, with real-time balancing rotations.

Category
Visit Server

README

Educational MCP server to learn BST & AVL trees

A Model Context Protocol (MCP) server designed to help you learn and visualize Binary Search Trees (BST) and AVL Trees. This project implements these data structures in TypeScript, demonstrating core algorithms like insertion, deletion, and AVL rotations.

Features

  • Binary Search Tree (BST): Standard implementation.
  • AVL Tree: Self-balancing binary search tree with automatic rotations (Left, Right, Left-Right, Right-Left).
  • Visualization: Tools to print the tree structure to the console/client to see how it changes after operations.
  • Educational Tools: Explicitly designed to help users "hand trace" or visualize specific tree states.

Installation

  1. Clone the repository.
  2. Install dependencies:
    npm install
    

Usage

Building the Server

Compile the TypeScript code:

npm run build

Running the Server

Start the MCP server (stdio transport):

npm start

Running Verification Tests

Run the included test script which demonstrates a sequence of insertions and rotations (based on a classic hand-tracing example):

npm test

Using with Claude Desktop

To use this server with the Claude Desktop app, add the following configuration to your claude_desktop_config.json file:

{
  "mcpServers": {
    "bst-avl": {
      "command": "node",
      "args": [
        "/YourDirectory/bst-avl-mcp/build/index.js"
      ]
    }
  }
}

Note: Update the path to match your project location.

Available Tools

  • reset_tree: Resets the specified tree (bst or avl) to be empty.
  • insert_node: Inserts a number into the tree and returns the new visual structure.
  • delete_node: Deletes a number from the tree and maintains balance (for AVL).
  • search_node: Checks if a number exists in the tree.
  • print_tree: Returns a string representation of the current tree hierarchy.

Project Structure

  • src/bst.ts: Basic BST implementation.
  • src/avl.ts: AVL Tree implementation with rotation logic.
  • src/index.ts: MCP Server entry point.
  • src/types.ts: Shared TypeScript interfaces.

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured