mcpField
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Datamuse

Datamuse

Remote
pipeworx.ioSearch0Updated 20w ago

About Datamuse

Datamuse is a keyless MCP server for word finding. The README describes access through Pipeworx and natural-language questions about Datamuse data, but does not list specific tools.

Key features

  1. 01Keyless word finding
  2. 02Access through Pipeworx
  3. 03Natural-language questions

Use cases

  1. 01Find related words
  2. 02Ask natural-language questions about Datamuse data

MCP support

The service makes Datamuse word-finding available to MCP clients through Pipeworx's remote service. Natural-language questions can be submitted with ask_pipeworx; the README does not specify dedicated tools.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/datamuse/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

mcp-datamuse

Datamuse MCP — word-finding engine (keyless).

Part of Pipeworx — an MCP gateway connecting AI agents to 780+ live data sources.

Tools

ToolDescription

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "datamuse": {
      "url": "https://gateway.pipeworx.io/datamuse/mcp"
    }
  }
}

Or connect to the full Pipeworx gateway for access to all 780+ data sources:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English:

ask_pipeworx({ question: "your question about Datamuse data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

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.