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Mcp Server Cambridge Dict

@meowrainon 10 months ago
2 MIT
FreeCommunity
AI Systems
# A MCP Server for Querying Words Using Cambridge Dictionary

Overview

What is Mcp Server Cambridge Dict

mcp-server-cambridge-dict is a dictionary server that allows users to query word meanings using the Cambridge Dictionary through the Model Context Protocol (MCP).

Use cases

Use cases include enhancing language learning applications, providing quick definitions in chatbots, and integrating with AI assistants for real-time word queries.

How to use

To use mcp-server-cambridge-dict, integrate it into your command line by adding the provided configuration. Start the server using the command ‘npm run start:mcp’ after installing the necessary dependencies.

Key features

Key features include seamless integration with AI assistants via the MCP protocol, robust dictionary query tools, and the ability to retrieve word meanings directly from the Cambridge Dictionary.

Where to use

mcp-server-cambridge-dict can be used in educational settings, language learning applications, and any environment where accurate word definitions and pronunciations are needed.

Content

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Dictionary Server

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A dictionary server supporting the Model Context Protocol (MCP).

Retrieves word meanings from the Cambridge Dictionary.

Adding MCP to Command Line

To integrate the MCP server into your command line, add the following configuration:

Features

  • Seamless integration with Claude and other AI assistants via the MCP protocol.
  • Robust dictionary query tools.
  • Retrieves word meanings from the Cambridge Dictionary.

Development

Install Dependencies

Install the required dependencies:

npm install

Build the Server

Build the server for production:

npm run build

Development Mode

Enable auto-rebuild during development:

npm run watch

Running the Server

Start the MCP server with the following command:

npm run start:mcp

Testing with MCP Inspector

To test the server, use the MCP Inspector:

npm run inspector

MCP Response Specification

This server adheres to the MCP response specification.

Tool Response

A successful word query returns the following format:

{
  "content": [
    {
      "type": "text",
      "text": "Word query result (in JSON format)"
    }
  ]
}

Error Response

In case of an error, the response format is:

{
  "content": [
    {
      "type": "text",
      "text": "Error message"
    }
  ],
  "isError": true
}

API Documentation

lookup_word

Fetches the pronunciation, definition, and example sentences for a word.

Parameters

  • word (string): The word to query.

Returns

Detailed information about the word, including pronunciation, definition, and example sentences.

Tools

No tools

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