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Dannet

Connects AI clients to DanNet, a Danish WordNet, for semantic relation queries over an MCP endpoint.

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Install Dannet

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "dannet": {
      "command": "npx",
      "args": [
        "-y",
        "shadow-cljs"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

We couldn’t confirm it starts correctly

We ran the install command but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.

npx -y shadow-cljs

Process exited before answering initialize.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 2d ago.

Overview

The dannet MCP server connects AI clients to DanNet, a Danish WordNet represented as an RDF knowledge graph. It exposes DanNet through the remote MCP endpoint at https://wordnet.dk/mcp, allowing connected assistants to query lexical and semantic relations. Reach for it when an agent needs Danish word, sense, synset, or relation data rather than general web search. The underlying dataset can also be browsed at wordnet.dk or downloaded in several formats.

Use cases

  • Query Danish word relationships from an AI assistant
  • Explore synsets and lexical concepts in DanNet
  • Inspect semantic connections between Danish words
  • Connect Claude Desktop to a hosted Danish WordNet

Key features

  • Remote MCP endpoint at wordnet.dk/mcp
  • Danish WordNet access
  • RDF-backed lexical knowledge graph
  • Semantic relation queries
  • Ontolex-lemon representation
  • Companion dataset support

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 2d ago

Recent health check succeeded.

7/7 checks healthy over the last 40d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 12d ago via OSV.dev · shadow-cljs (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars29Stargazers on the source repository.
npm downloads266kPackage downloads in the last 30 days.
Last commit6d agoMost recent push to the default branch.
Install checkInconclusiveDidn't respond in our test window — often a slow first install.
Directory activity1 viewsConfig copies, upvotes, and views on AllMCPs.

How Dannet works

What dannet does

The dannet MCP server gives MCP-compatible AI tools access to DanNet, a WordNet for Danish. DanNet models words, word senses, synsets, and forms using RDF and Ontolex-lemon concepts. Its graph includes lexical relationships and can expose inferred data derived from the base dataset, companion datasets, and ontological metadata.

The service is intended for semantic lookup through an AI client. It is a fit for questions that depend on Danish lexical structure, such as finding related concepts or examining relationships between words and synsets. It is not presented as a general-purpose Danish translation, generation, or web-search service.

DanNet also has a browser at wordnet.dk and publishes downloadable releases. Those alternatives are useful when an application needs direct browsing or local dataset processing instead of MCP access.

How it works

The hosted MCP endpoint is https://wordnet.dk/mcp. An MCP-capable client connects to that URL and sends requests through the protocol. After connection, the assistant can query DanNet's semantic relations directly.

DanNet stores its native data as RDF, with Apache Jena used as the RDF database backend. The graph follows Ontolex-lemon and Global Wordnet Association RDF conventions. Dataset URIs use the wordnet.dk namespace and resolve to HTTP resources; requesting one of those resources returns its data.

The graph can include companion information from COR, DDS, and the Open English WordNet extension. DDS contributes sentiment data, while COR supplies links to COR identifiers.

Setup and configuration

Use the public MCP URL as a remote server connection. The documented Claude Desktop flow is to open Settings > Connectors > Browse Connectors, choose the option to add a custom connector, enter a display name such as DanNet, and provide the server URL.

The registry identifier is io.github.kuhumcst/dannet.

For local development of the broader DanNet project, the repository requires Java and the official Clojure CLI tools.

Tools and capabilities

The dannet MCP server supports:

  • Querying DanNet through an MCP-compatible AI client.
  • Accessing Danish lexical and semantic relationships.
  • Working with a graph based on RDF and Ontolex-lemon data.
  • Using DanNet data alongside its documented companion datasets where included in the deployed graph.
  • Connecting remotely through the published HTTPS endpoint.

The material does not provide individual MCP tool names, argument schemas, return formats, authentication settings, or rate limits.

Limitations and notes

DanNet has multiple release formats, but they are not equivalent. RDF is the complete representation. CSV can lose information during conversion, WN-LMF includes only official Global Wordnet Association relations, and DMLex omits links to other datasets while combining several resources in one file.

The MCP documentation identifies Claude Desktop as an example client but does not document behavior for every MCP client. The hosted endpoint and registry ID are specified, while local deployment details are only described at a high level. Check the repository and running service for current operations and deployment requirements.

Read the full README View source on GitHub

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Frequently Asked Questions about Dannet

dannet is an MCP server that connects AI clients to DanNet, a Danish WordNet represented as an RDF knowledge graph. Its main capabilities are querying Danish words, senses, synsets, and semantic relations through the hosted MCP endpoint at https://wordnet.dk/mcp. Claude Desktop is documented as one example client.

You do not need to install it to use the hosted service; connect an MCP client to https://wordnet.dk/mcp. For local DanNet development, the repository requires Java and the official Clojure CLI tools, while the production setup uses Docker Compose.

Yes, Claude Desktop is documented as a supported connection example. In Claude Desktop, open Settings, go to Connectors and Browse Connectors, choose the custom connector option, enter a name, and provide https://wordnet.dk/mcp as the server URL.

You can query DanNet's Danish lexical and semantic data, including words, word senses, synsets, forms, and relationships represented in its RDF graph. The service may include companion data such as COR links or DDS sentiment information, depending on the deployed graph.

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