iflow-mcp_mcp-wikidata

## Wikidata MCP Server [](https://smithery.ai/server/@zzaebok/mcp-wikidata) 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](https://smithery.ai/server/@zzaebok/mcp-wikidata): ```bash npx -y @smithery/cli install @zzaebok/mcp-wikidata --client claude ``` #### Installing Manually Install `uv` if it is not installed yet. ```bash $ curl -LsSf https://astral.sh/uv/install.sh | sh ``` Then, install dependencies. ```bash $ 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: ```bash $ uv run src/server.py ``` If you want to test it with a simple client code (with `langchain-mcp-adapters`), run the client with: ```bash # 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. <details> <summary><i>See the execution output</i></summary> ```python { "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": "Q4959…