mcpField
D
Dictionary Server

Dictionary Server

Local
github.com/meowrainScience & Education8Updated 77w ago

About Dictionary Server

Dictionary Server is an MCP service for querying Cambridge Dictionary. It returns a word’s pronunciation, definition, and example sentences.

Key features

  1. 01Look up pronunciation
  2. 02Retrieve definitions
  3. 03Retrieve example sentences

Use cases

  1. 01Check an unfamiliar word
  2. 02Find example sentences for a word

MCP support

It exposes the lookup_word tool to MCP clients for retrieving word information from Cambridge Dictionary.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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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:

"mcp-server-cambridge-dict": {
  "command": "npx",
  "args": ["-y", "mcp-server-dictionary"],
  "disabled": false
}

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.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.