Skip to main content

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

Metadata

Release files for iflow-mcp_zzaebok-wikidata 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for iflow-mcp_zzaebok-wikidata 0.1.0
File Size Uploaded
iflow_mcp_zzaebok_wikidata-0.1.0.tar.gz 5.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for iflow-mcp_zzaebok-wikidata 0.1.0
File Interpreter ABI Platform
iflow_mcp_zzaebok_wikidata-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 12.6 kB

Release files / iflow_mcp_zzaebok_wikidata-0.1.0.tar.gz

Download URL iflow_mcp_zzaebok_wikidata-0.1.0.tar.gz
Size 5.6 kB
Tags Source
SHA-256 checksum
How to use checksums
c490f2fd0c84a226d39b5b1e1e66740edcbc045c78a2616425a7247d8251c631
BLAKE2b-256 checksum
How to use checksums
a203dc8234bdccf66b3ae0a2fe7e666499f461be6ffe64a68961fcc9f773c763
Upload date
Uploaded using Trusted Publishing?
What is 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}

Release files / iflow_mcp_zzaebok_wikidata-0.1.0-py3-none-any.whl

Download URL iflow_mcp_zzaebok_wikidata-0.1.0-py3-none-any.whl
Size 7.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
51da9c03daeae932932767dea7113ab94537bd5b18ad181c8a2d84a313f89de0
BLAKE2b-256 checksum
How to use checksums
faed5774b1ddda7aea36eae2be646d6e353f1f1b28488a87a4157a154c4dfffa
Upload date
Uploaded using Trusted Publishing?
What is 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}

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page