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.
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
Recommend MCP Servers 💡
netmind-parse-pdf-mcp
An MCP server that parses PDF files into structured formats like JSON and Markdown
reexpress_mcp_server
Reexpress MCP Server provides state-of-the-art statistical verification and an AI second opinion for complex LLM pipelines, particularly in software development and data science settings, by ensembling multiple LLMs and calculating predictive uncertainty.
Central-Memory-MCP
An MCP memory server built with Azure Functions and TypeScript, providing persistent knowledge graph storage for AI assistants in VS Code, forked from `@modelcontextprotocol/server-memory`.
stephanj/MCPJavaFileSystem
An MCP server providing filesystem operations and web access tools for LLM agents
CristianCiubancan/sequentialthinking
An MCP server that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
roboulos/remote-mcp-server
A remote MCP server built on Cloudflare Workers with Xano database integration for tool management, session tracking, and OAuth. Now with full support for the latest Streamable HTTP transport protocol (2024-11-05).