Datamuse MCP

Name: Datamuse MCP
Author: lacausecrypto

Local

github.com/lacausecryptoSearch2Updated 28w ago

Repository

About Datamuse MCP

Datamuse MCP is a local stdio MCP server that wraps the Datamuse word-search API as validated tools for assistants and clients that support MCP. It covers synonyms, rhymes, spelling patterns, and lexical details.

Key features

01Find synonyms, antonyms, and rhymes
02Search by spelling pattern or sound
03Retrieve definitions, parts of speech, and pronunciation
04Offer autocomplete and related-word lookup
05Use a local in-memory cache

Use cases

01Find synonyms or rhymes for writing
02Search for words matching a spelling pattern
03Check definitions, syllables, or pronunciation
04Complete words from a typed prefix

MCP support

The project is a local MCP server over stdio, exposing Datamuse API functions as tools to MCP clients.

Configuration

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

mcp.json · Universal config

{
  "mcpServers": {
    "lacausecrypto-datamuse": {
      "command": "npx",
      "args": [
        "-y",
        "datamuse-mcp"
      ]
    }
  }
}

Run commandnpx -y datamuse-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages

npmdatamuse-mcp1.0.0stdio

Tools

Saved tool list · updated 2w ago

Parameter	Type	Required	Description
max	number	No	Maximum number of results (1-50, default: 10)
word	string	Yes	The word to find synonyms for
topic	string	No	Optional topic to bias results (e.g., 'music', 'medical')

Details

From the project README

datamuse-mcp

MCP server for the Datamuse API (word search, rhymes, synonyms, and more).

This project is open source, free to use, and licensed under MIT.

About

datamuse-mcp is a local stdio MCP server that wraps Datamuse endpoints into validated MCP tools. It is designed for practical word-finding use cases in assistants and clients that support MCP.

Purpose

This server provides simple MCP tools to:

find synonyms, antonyms, and rhymes;
run autocomplete;
fetch lexical details (definitions, POS, syllables, pronunciation, frequency);
search by spelling pattern (*, ?) or phonetic similarity.

Requirements

Node.js >= 18
npm

Install

npm install

Development

npm run dev

Build & run

npm run build
npm start

Manual JSON-RPC checks

# List tools
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | node dist/index.js

# Call a tool
echo '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"find_synonyms","arguments":{"word":"happy"}}}' | node dist/index.js

More tool examples

{ "tool": "find_antonyms", "arguments": { "word": "happy", "max": 10 } }
{ "tool": "find_rhymes", "arguments": { "word": "love", "type": "perfect", "max": 20 } }
{ "tool": "find_similar_sounding", "arguments": { "text": "definately", "max": 15 } }
{ "tool": "find_by_pattern", "arguments": { "pattern": "s??r?", "meaning_hint": "celestial", "max": 25 } }
{ "tool": "find_related_words", "arguments": { "word": "music", "relation_type": "triggers", "max": 15 } }
{ "tool": "get_word_info", "arguments": { "word": "serendipity" } }
{ "tool": "autocomplete", "arguments": { "prefix": "astro", "max": 10 } }

Claude Desktop configuration

Add this to claude_desktop_config.json:

{
  "mcpServers": {
    "datamuse": {
      "command": "node",
      "args": ["/absolute/path/to/datamuse-mcp/dist/index.js"]
    }
  }
}

Exposed tools

find_synonyms
find_antonyms
find_rhymes
find_similar_sounding
find_by_pattern
find_related_words
find_adjectives_for_noun
find_nouns_for_adjective
get_word_info
autocomplete

Security and limits

The server runs over stdio (local usage recommended).
Outbound requests go to https://api.datamuse.com.
A local in-memory cache is used (5-minute TTL), with no disk persistence.
Datamuse may enforce request limits/quotas.

Publishing

For npm and MCP Registry deployment, see PUBLISHING.md.

Contributing

See CONTRIBUTING.md.

License

MIT — see LICENSE.

Comments

Markdown supported

New to MCP?

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

Read the getting-started guide

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.