This MCP server implementation provides tools to interact with Wikidata, enabling you to search identifiers, extract metadata, and execute SPARQL queries. The server follows the Model Context Protocol (MCP) and can be integrated with LLM-powered applications.
First, install UV (a Python package installer and resolver):
$ curl -LsSf https://astral.sh/uv/install.sh | sh
Then, clone the repository and 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
Start the MCP server with:
$ uv run src/server.py
To test the server with a simple client using langchain-mcp-adapters:
# in another shell
$ uv run src/client.py
This will demonstrate how an LLM can extract entity and property identifiers, execute a SPARQL query, and provide movie recommendations.
The server implements the following Wikidata tools:
Searches for a Wikidata entity ID by query.
search_entity(query: str)
Searches for a Wikidata property ID by query.
search_property(query: str)
Retrieves properties associated with a given Wikidata entity ID.
get_properties(entity_id: str)
Executes a SPARQL query on Wikidata.
execute_sparql(sparql_query: str)
Retrieves the label and description for a given Wikidata entity ID.
get_metadata(entity_id: str, language: str = "en")
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.