mcp-dbpedia
Provides tools for querying DBpedia, a structured data source derived from Wikipedia, including lookup, SPARQL queries, resource fetching, and abstract retrieval.
This server has a remotely hosted endpoint. Open its connector listing for connection details, authentication requirements, and setup instructions:
@pipeworx/dbpedia
DBpedia MCP — structured knowledge extracted from Wikipedia. SPARQL endpoint + Lookup search. Keyless.
Part of Pipeworx — an MCP gateway connecting AI agents to 1863+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
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"
}
}
}What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/dbpedia/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Both URLs reach the same gateway and the same 1863+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/dbpedia_lookup \
-H 'Content-Type: application/json' \
-d '{"query":"Albert Einstein"}'No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/dbpedia_lookup. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Run it from npm
@pipeworx/mcp-dbpedia is a local stdio bridge to the Pipeworx gateway: your MCP client
starts it with npx, and it forwards every call to the same
https://gateway.pipeworx.io/dbpedia/mcp endpoint shown above. It needs network access;
there is no offline mode.
{
"mcpServers": {
"dbpedia": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-dbpedia"]
}
}
}Without a key it calls anonymously, capped at 50 calls a day. A free account
raises that to 200 a day: get a key at https://pipeworx.io/signup and add
"env": { "PIPEWORX_API_KEY": "<your key>" } to the server entry.
The key is sent as a Bearer token, the same way a hosted connection sends it,
so calls are metered and billed exactly as they are there.
It lists only this pack's tools by default. Set PIPEWORX_META_TOOLS=1 to
also list ask_pipeworx and the other gateway-wide tools.
Behind an HTTPS proxy: Node's built-in fetch does not read HTTPS_PROXY by
default. Newer Node releases honour it when NODE_USE_ENV_PROXY=1 is set; check
your Node version's documentation.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Dbpedia data" })The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
This server cannot be deployed
Maintenance
Related MCP Connectors
Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers.
Web data for agents. Extract web pages, crawl websites, discover URLs, and search the web.
Website crawling, Google search and Wikipedia lookup as agent tools.
Data and tools for your AI agent: company, people, SEO, social and EU register data. Pay per call.
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.24MIT
- 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