Wikidata MCP Server

by zzaebok

Integrations

  • Provides access to the project repository for installation via git clone from GitHub.

  • Enables integration with LangChain through langchain-mcp-adapters, allowing AI agents to interact with Wikidata's knowledge graph through the Model Context Protocol.

  • Provides tools for interacting with Wikidata, including searching for entity and property identifiers, retrieving entity metadata (labels and descriptions), accessing entity properties, and executing SPARQL queries against the Wikidata knowledge base.

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

Installing via Smithery

To install Wikidata MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @zzaebok/mcp-wikidata --client claude
Installing Manually

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.

{ "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:

ToolDescription
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

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security – no known vulnerabilities
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license - permissive license
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quality - confirmed to work

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A server implementation for interacting with Wikidata API using the Model Context Protocol, providing tools for searching identifiers, extracting metadata, and executing SPARQL queries.

  1. Installation
    1. Installing via Smithery
    2. Installing Manually
  2. Run
    1. Wikidata MCP Tools
      1. License

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