mcp-dbpedia
Provides tools for querying DBpedia, a structured data source derived from Wikipedia, including lookup, SPARQL queries, resource fetching, and abstract retrieval.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-dbpediaTell me about Albert Einstein"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@pipeworx/dbpedia
DBpedia MCP — structured knowledge extracted from Wikipedia. SPARQL endpoint + Lookup search. Keyless.
Part of Pipeworx — an MCP gateway connecting AI agents to 1394+ live data sources.
Tools
lookup(query, max_results?, type?)— DBpedia Lookup search (entity-resolution friendly)sparql(query, format?)— DBpedia SPARQL endpointresource(uri)— fetch all triples about a DBpedia resourceabstract(label, lang?)— fetch English/foreign abstract for a topic
Related MCP server: Wikidata MCP Server
Data source
Lookup:
https://lookup.dbpedia.org/api/SPARQL:
https://dbpedia.org/sparqlLinked Data:
https://dbpedia.org/resource/<Label>
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"dbpedia": {
"url": "https://gateway.pipeworx.io/dbpedia/mcp"
}
}
}Or connect to the full Pipeworx gateway for access to all 1394+ 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 Dbpedia data" })The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
This server cannot be installed
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseBqualityDmaintenanceProvides access to Wikidata for Large Language Models through the Model Context Protocol, offering tools for entity search, detailed retrieval, SPARQL queries, relation exploration, and property-based searches.54MIT
- FlicenseNot gradedqualityDmaintenanceConnects LLMs to Wikidata's structured knowledge base using a hybrid architecture that optimizes for both fast entity searches and complex relational queries. It provides tools for entity and property retrieval, metadata lookups, and direct SPARQL execution to ground AI responses in verified data.2
- AlicenseAqualityCmaintenanceEnables LLMs to search for keywords and fetch full page content from Wikipedia across various languages. It provides direct access to Wikipedia information through search and fetch tools.23MIT
- AlicenseNot gradedqualityFmaintenanceEnables AI agents to search, read, and explore Wikipedia articles via tools like summaries, categories, and random articles, with no API keys required.1MIT
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