Cover image
Try Now
2025-04-02

Eine Server -Implementierung für Wikidata -API unter Verwendung des Modellkontextprotokolls (MCP).

3 years

Works with Finder

1

Github Watches

0

Github Forks

4

Github Stars

Wikidata MCP Server

A server implementation for Wikidata API using the Model Context Protocol (MCP). This project provides tools to interact with Wikidata, such as searching identifiers (entity and property), extracting metadata (label and description) and executing sparql query.


Installation

Install uv if it is not installed yet.

$ curl -LsSf https://astral.sh/uv/install.sh | sh

Then, install dependencies.

$ git clone https://github.com/zzaebok/mcp-wikidata.git
$ cd mcp-wikidata
$ uv sync
# if you want to run client example together
$ uv sync --extra example

Run

Run the server with:

$ uv run src/server.py

If you want to test it with a simple client code (with langchain-mcp-adapters), run the client with:

# in another shell
$ uv run src/client.py

The LLM extracts valid entity and property identifiers, executes a sparql query, and finally recommend a movie directed by Bong Joon-ho.

See the execution output
{
  "messages": [
      HumanMessage(
          content="Can you recommend me a movie directed by Bong Joonho?",
      ),
      AIMessage(
          tool_calls=[
              {
                  "name": "search_entity",
                  "args": {"query": "Bong Joon-ho"},
              }
          ],
      ),
      ToolMessage(
          content="Q495980",
          name="search_entity",
      ),
      AIMessage(
          tool_calls=[
              {
                  "name": "get_properties",
                  "args": {"entity_id": "Q495980"},
              }
          ],
      ),
      ToolMessage(
          content='["P345", "P244", "P214", "P227", ...]',
          name="get_properties",
      ),
      AIMessage(
          tool_calls=[
              {
                  "name": "search_property",
                  "args": {"query": "director"},
              }
          ],
      ),
      ToolMessage(
          content="P57",
          name="search_property",
      ),
      AIMessage(
          tool_calls=[
              {
                  "name": "execute_sparql",
                  "args": {
                      "sparql_query": 'SELECT ?film ?filmLabel WHERE {\n  ?film wdt:P57 wd:Q495980.\n  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }\n} LIMIT 1'
                  },
              }
          ],
      ),
      ToolMessage(
          content='[{"film": {"type": "uri", "value": "http://www.wikidata.org/entity/Q483761"}, "filmLabel": {"xml:lang": "en", "type": "literal", "value": "Mother"}}]',
          name="execute_sparql",
      ),
      AIMessage(
          content='I recommend the movie "Mother," which was directed by Bong Joon-ho.',
      ),
  ]
}

Wikidata MCP Tools

The following tools are implemented in the server:

Tool Description
search_entity(query: str) Search for a Wikidata entity ID by its query.
search_property(query: str) Search for a Wikidata property ID by its query.
get_properties(entity_id: str) Get the properties associated with a given Wikidata entity ID.
execute_sparql(sparql_query: str) Execute a SPARQL query on Wikidata.
get_metadata(entity_id: str, language: str = "en") Retrieve the English label and description for a given Wikidata entity ID.

License

MIT License

相关推荐

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • https://appia.in
  • Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • apappascs
  • Entdecken Sie die umfassendste und aktuellste Sammlung von MCP-Servern auf dem Markt. Dieses Repository dient als zentraler Hub und bietet einen umfangreichen Katalog von Open-Source- und Proprietary MCP-Servern mit Funktionen, Dokumentationslinks und Mitwirkenden.

  • jae-jae
  • MCP -Server für den Fetch -Webseiteninhalt mit dem Headless -Browser von Dramatikern.

  • HiveNexus
  • Ein KI-Chat-Bot für kleine und mittelgroße Teams, die Modelle wie Deepseek, Open AI, Claude und Gemini unterstützt. 专为中小团队设计的 ai 聊天应用 , 支持 Deepseek 、 Open ai 、 claude 、 Gemini 等模型。

  • ravitemer
  • Ein leistungsstarkes Neovim -Plugin für die Verwaltung von MCP -Servern (Modellkontextprotokoll)

  • patruff
  • Brücke zwischen Ollama und MCP -Servern und ermöglicht es lokalen LLMs, Modellkontextprotokoll -Tools zu verwenden

    Reviews

    5 (1)
    Avatar
    user_bRRE6pwT
    2025-04-16

    As a loyal user of mcp applications, I found mcp-wikidata by zzaebok truly impressive. It offers seamless integration into wikidata projects, enhancing data accuracy and accessibility. The user-friendly interface and robust performance have significantly improved my workflows. Highly recommended for anyone working with data! For more, visit https://github.com/zzaebok/mcp-wikidata.