Skip to main content

MCP Wikidata Server

Project description

Wikidata MCP Server

smithery badge

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

iflow_mcp_zzaebok_wikidata-0.1.0.tar.gz (5.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

iflow_mcp_zzaebok_wikidata-0.1.0-py3-none-any.whl (7.0 kB view details)

Uploaded Python 3

File details

Details for the file iflow_mcp_zzaebok_wikidata-0.1.0.tar.gz.

File metadata

  • Download URL: iflow_mcp_zzaebok_wikidata-0.1.0.tar.gz
  • Upload date:
  • Size: 5.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.0 {"installer":{"name":"uv","version":"0.10.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for iflow_mcp_zzaebok_wikidata-0.1.0.tar.gz
Algorithm Hash digest
SHA256 c490f2fd0c84a226d39b5b1e1e66740edcbc045c78a2616425a7247d8251c631
MD5 43f2241101ba96b3242849a43ed02cae
BLAKE2b-256 a203dc8234bdccf66b3ae0a2fe7e666499f461be6ffe64a68961fcc9f773c763

See more details on using hashes here.

File details

Details for the file iflow_mcp_zzaebok_wikidata-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: iflow_mcp_zzaebok_wikidata-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 7.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.0 {"installer":{"name":"uv","version":"0.10.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for iflow_mcp_zzaebok_wikidata-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 51da9c03daeae932932767dea7113ab94537bd5b18ad181c8a2d84a313f89de0
MD5 d0fada364c06460557510fb16cc5e30e
BLAKE2b-256 faed5774b1ddda7aea36eae2be646d6e353f1f1b28488a87a4157a154c4dfffa

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page