[{"_1":2,"_387":-5,"_388":-5},"loaderData",{"_3":4,"_22":23,"_24":25,"_305":306},"root",{"_5":6,"_7":8},"toasts",[],"visitor",{"_9":10,"_11":12},"viewportWidth",1280,"visitorSession",{"_13":14,"_16":17,"_18":-5,"_19":20,"_21":-5},"attributes",[15],"BOT","id",7058884,"membership","referenceId","01971406-43e3-74e8-b880-2f000258007a","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":27,"_68":-5,"_69":28,"_29":70,"_223":224,"_303":304},"availableLocales",[28,40,47,54,61],{"_29":30,"_33":37,"_38":39},"mcpServer",{"_31":32,"_33":34,"_35":36},"description","A server implementation for interacting with Wikidata API using the Model Context Protocol, providing tools for searching identifiers, extracting metadata, and executing SPARQL queries.","name","Wikidata MCP Server","readme","## Wikidata MCP Server\n\n[![smithery badge](https://smithery.ai/badge/@zzaebok/mcp-wikidata)](https://smithery.ai/server/@zzaebok/mcp-wikidata)\n\nA server implementation for Wikidata API using the Model Context Protocol (MCP).\nThis project provides tools to interact with Wikidata, such as **searching identifiers** (entity and property), **extracting metadata** (label and description) and **executing sparql query**.\n\n---\n\n### Installation\n\n#### Installing via Smithery\n\nTo install Wikidata MCP Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@zzaebok/mcp-wikidata):\n\n```bash\nnpx -y @smithery/cli install @zzaebok/mcp-wikidata --client claude\n```\n\n#### Installing Manually\nInstall `uv` if it is not installed yet.\n\n```bash\n$ curl -LsSf https://astral.sh/uv/install.sh | sh\n```\n\nThen, install dependencies.\n\n```bash\n$ git clone https://github.com/zzaebok/mcp-wikidata.git\n$ cd mcp-wikidata\n$ uv sync\n# if you want to run client example together\n$ uv sync --extra example\n```\n\n---\n\n### Run\n\nRun the server with:\n\n```bash\n$ uv run src/server.py\n```\n\nIf you want to test it with a simple client code (with `langchain-mcp-adapters`), run the client with:\n\n```bash\n# in another shell\n$ uv run src/client.py\n```\n\nThe LLM extracts valid entity and property identifiers, executes a sparql query, and finally recommend a movie directed by Bong Joon-ho.\n\n

See the execution output

\n\n```python\n{\n \"messages\": [\n HumanMessage(\n content=\"Can you recommend me a movie directed by Bong Joonho?\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"search_entity\",\n \"args\": {\"query\": \"Bong Joon-ho\"},\n }\n ],\n ),\n ToolMessage(\n content=\"Q495980\",\n name=\"search_entity\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"get_properties\",\n \"args\": {\"entity_id\": \"Q495980\"},\n }\n ],\n ),\n ToolMessage(\n content='[\"P345\", \"P244\", \"P214\", \"P227\", ...]',\n name=\"get_properties\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"search_property\",\n \"args\": {\"query\": \"director\"},\n }\n ],\n ),\n ToolMessage(\n content=\"P57\",\n name=\"search_property\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"execute_sparql\",\n \"args\": {\n \"sparql_query\": 'SELECT ?film ?filmLabel WHERE {\\n ?film wdt:P57 wd:Q495980.\\n SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }\\n} LIMIT 1'\n },\n }\n ],\n ),\n ToolMessage(\n content='[{\"film\": {\"type\": \"uri\", \"value\": \"http://www.wikidata.org/entity/Q483761\"}, \"filmLabel\": {\"xml:lang\": \"en\", \"type\": \"literal\", \"value\": \"Mother\"}}]',\n name=\"execute_sparql\",\n ),\n AIMessage(\n content='I recommend the movie \"Mother,\" which was directed by Bong Joon-ho.',\n ),\n ]\n}\n```\n\n

\n\n---\n\n### Wikidata MCP Tools\n\nThe following tools are implemented in the server:\n\n| Tool | Description |\n| ---------------------------------------------------- | -------------------------------------------------------------------------- |\n| `search_entity(query: str)` | Search for a Wikidata entity ID by its query. |\n| `search_property(query: str)` | Search for a Wikidata property ID by its query. |\n| `get_properties(entity_id: str)` | Get the properties associated with a given Wikidata entity ID. |\n| `execute_sparql(sparql_query: str)` | Execute a SPARQL query on Wikidata. |\n| `get_metadata(entity_id: str, language: str = \"en\")` | Retrieve the English label and description for a given Wikidata entity ID. |\n\n---\n\n#### License\n\nMIT License\n","English","tag","en-US",{"_29":41,"_33":45,"_38":46},{"_31":42,"_33":43,"_35":44},"Una implementación de servidor para interactuar con la API de Wikidata utilizando el Protocolo de Contexto de Modelo, proporcionando herramientas para buscar identificadores, extraer metadatos y ejecutar consultas SPARQL.","Servidor MCP de Wikidata","## Servidor MCP de Wikidata\n\n[![insignia de herrería](https://smithery.ai/badge/@zzaebok/mcp-wikidata)](https://smithery.ai/server/@zzaebok/mcp-wikidata)\n\nUna implementación de servidor para la API de Wikidata mediante el Protocolo de Contexto de Modelo (MCP). Este proyecto proporciona herramientas para interactuar con Wikidata, como **la búsqueda de identificadores** (de entidad y propiedad), **la extracción de metadatos** (de etiqueta y descripción) y **la ejecución de consultas Sparql** .\n\n***\n\n### Instalación\n\n#### Instalación mediante herrería\n\nPara instalar Wikidata MCP Server para Claude Desktop automáticamente a través de [Smithery](https://smithery.ai/server/@zzaebok/mcp-wikidata) :\n\n```bash\nnpx -y @smithery/cli install @zzaebok/mcp-wikidata --client claude\n```\n\n#### Instalación manual\n\nInstale `uv` si aún no está instalado.\n\n```bash\n$ curl -LsSf https://astral.sh/uv/install.sh | sh\n```\n\nLuego, instala las dependencias.\n\n```bash\n$ git clone https://github.com/zzaebok/mcp-wikidata.git\n$ cd mcp-wikidata\n$ uv sync\n# if you want to run client example together\n$ uv sync --extra example\n```\n\n***\n\n### Correr\n\nEjecute el servidor con:\n\n```bash\n$ uv run src/server.py\n```\n\nSi desea probarlo con un código de cliente simple (con `langchain-mcp-adapters` ), ejecute el cliente con:\n\n```bash\n# in another shell\n$ uv run src/client.py\n```\n\nEl LLM extrae identificadores válidos de entidades y propiedades, ejecuta una consulta sparql y finalmente recomienda una película dirigida por Bong Joon-ho.\n\n```python\n{\n \"messages\": [\n HumanMessage(\n content=\"Can you recommend me a movie directed by Bong Joonho?\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"search_entity\",\n \"args\": {\"query\": \"Bong Joon-ho\"},\n }\n ],\n ),\n ToolMessage(\n content=\"Q495980\",\n name=\"search_entity\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"get_properties\",\n \"args\": {\"entity_id\": \"Q495980\"},\n }\n ],\n ),\n ToolMessage(\n content='[\"P345\", \"P244\", \"P214\", \"P227\", ...]',\n name=\"get_properties\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"search_property\",\n \"args\": {\"query\": \"director\"},\n }\n ],\n ),\n ToolMessage(\n content=\"P57\",\n name=\"search_property\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"execute_sparql\",\n \"args\": {\n \"sparql_query\": 'SELECT ?film ?filmLabel WHERE {\\n ?film wdt:P57 wd:Q495980.\\n SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }\\n} LIMIT 1'\n },\n }\n ],\n ),\n ToolMessage(\n content='[{\"film\": {\"type\": \"uri\", \"value\": \"http://www.wikidata.org/entity/Q483761\"}, \"filmLabel\": {\"xml:lang\": \"en\", \"type\": \"literal\", \"value\": \"Mother\"}}]',\n name=\"execute_sparql\",\n ),\n AIMessage(\n content='I recommend the movie \"Mother,\" which was directed by Bong Joon-ho.',\n ),\n ]\n}\n```\n\n***\n\n### Herramientas MCP de Wikidata\n\nLas siguientes herramientas están implementadas en el servidor:\n\n| Herramienta | Descripción |\n| ---------------------------------------------------- | ----------------------------------------------------------------------------------------------- |\n| `search_entity(query: str)` | Busque un ID de entidad de Wikidata mediante su consulta. |\n| `search_property(query: str)` | Busque un ID de propiedad de Wikidata mediante su consulta. |\n| `get_properties(entity_id: str)` | Obtener las propiedades asociadas con un ID de entidad de Wikidata determinado. |\n| `execute_sparql(sparql_query: str)` | Ejecutar una consulta SPARQL en Wikidata. |\n| `get_metadata(entity_id: str, language: str = \"en\")` | Recupere la etiqueta y la descripción en inglés para una ID de entidad de Wikidata determinada. |\n\n***\n\n#### Licencia\n\nLicencia MIT","Spanish","es-ES",{"_29":48,"_33":52,"_38":53},{"_31":49,"_33":50,"_35":51},"モデルコンテキストプロトコルを使用して Wikidata API と対話するためのサーバー実装。識別子の検索、メタデータの抽出、SPARQL クエリの実行のためのツールを提供します。","Wikidata MCP サーバー","## Wikidata MCP サーバー\n\n[![鍛冶屋のバッジ](https://smithery.ai/badge/@zzaebok/mcp-wikidata)](https://smithery.ai/server/@zzaebok/mcp-wikidata)\n\nモデルコンテキストプロトコル（MCP）を用いたWikidata APIのサーバー実装。このプロジェクトは、**識別子（エンティティとプロパティ）の検索**、**メタデータ（ラベルと説明）の抽出**、 **SPARQLクエリの実行**など、Wikidataを操作するためのツールを提供します。\n\n***\n\n### インストール\n\n#### Smithery経由でインストール\n\n[Smithery](https://smithery.ai/server/@zzaebok/mcp-wikidata)経由で Claude Desktop 用の Wikidata MCP サーバーを自動的にインストールするには:\n\n```bash\nnpx -y @smithery/cli install @zzaebok/mcp-wikidata --client claude\n```\n\n#### 手動でインストールする\n\nまだインストールされていない場合は`uv`をインストールしてください。\n\n```bash\n$ curl -LsSf https://astral.sh/uv/install.sh | sh\n```\n\n次に、依存関係をインストールします。\n\n```bash\n$ git clone https://github.com/zzaebok/mcp-wikidata.git\n$ cd mcp-wikidata\n$ uv sync\n# if you want to run client example together\n$ uv sync --extra example\n```\n\n***\n\n### 走る\n\n次のコマンドでサーバーを実行します。\n\n```bash\n$ uv run src/server.py\n```\n\n単純なクライアントコード ( `langchain-mcp-adapters`を使用) でテストする場合は、次のコマンドでクライアントを実行します。\n\n```bash\n# in another shell\n$ uv run src/client.py\n```\n\nLLM は有効なエンティティおよびプロパティ識別子を抽出し、Sparql クエリを実行し、最終的にポン・ジュノ監督の映画を推奨します。\n\n```python\n{\n \"messages\": [\n HumanMessage(\n content=\"Can you recommend me a movie directed by Bong Joonho?\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"search_entity\",\n \"args\": {\"query\": \"Bong Joon-ho\"},\n }\n ],\n ),\n ToolMessage(\n content=\"Q495980\",\n name=\"search_entity\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"get_properties\",\n \"args\": {\"entity_id\": \"Q495980\"},\n }\n ],\n ),\n ToolMessage(\n content='[\"P345\", \"P244\", \"P214\", \"P227\", ...]',\n name=\"get_properties\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"search_property\",\n \"args\": {\"query\": \"director\"},\n }\n ],\n ),\n ToolMessage(\n content=\"P57\",\n name=\"search_property\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"execute_sparql\",\n \"args\": {\n \"sparql_query\": 'SELECT ?film ?filmLabel WHERE {\\n ?film wdt:P57 wd:Q495980.\\n SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }\\n} LIMIT 1'\n },\n }\n ],\n ),\n ToolMessage(\n content='[{\"film\": {\"type\": \"uri\", \"value\": \"http://www.wikidata.org/entity/Q483761\"}, \"filmLabel\": {\"xml:lang\": \"en\", \"type\": \"literal\", \"value\": \"Mother\"}}]',\n name=\"execute_sparql\",\n ),\n AIMessage(\n content='I recommend the movie \"Mother,\" which was directed by Bong Joon-ho.',\n ),\n ]\n}\n```\n\n***\n\n### Wikidata MCPツール\n\nサーバーには次のツールが実装されています。\n\n| 道具 | 説明 |\n| ---------------------------------------------------- | --------------------------------------------- |\n| `search_entity(query: str)` | クエリで Wikidata エンティティ ID を検索します。 |\n| `search_property(query: str)` | クエリで Wikidata プロパティ ID を検索します。 |\n| `get_properties(entity_id: str)` | 指定された Wikidata エンティティ ID に関連付けられたプロパティを取得します。 |\n| `execute_sparql(sparql_query: str)` | Wikidata で SPARQL クエリを実行します。 |\n| `get_metadata(entity_id: str, language: str = \"en\")` | 指定された Wikidata エンティティ ID の英語のラベルと説明を取得します。 |\n\n***\n\n#### ライセンス\n\nMITライセンス","Japanese","ja-JP",{"_29":55,"_33":59,"_38":60},{"_31":56,"_33":57,"_35":58},"모델 컨텍스트 프로토콜을 사용하여 Wikidata API와 상호작용하기 위한 서버 구현으로, 식별자 검색, 메타데이터 추출, SPARQL 쿼리 실행을 위한 도구를 제공합니다.","위키데이터 MCP 서버","## 위키데이터 MCP 서버\n\n[![대장간 배지](https://smithery.ai/badge/@zzaebok/mcp-wikidata)](https://smithery.ai/server/@zzaebok/mcp-wikidata)\n\n모델 컨텍스트 프로토콜(MCP)을 사용하는 Wikidata API 서버 구현입니다. 이 프로젝트는 **식별자(엔터티 및 속성) 검색** , **메타데이터(레이블 및 설명) 추출** , **SparQL 쿼리 실행** 등 Wikidata와 상호작용하는 도구를 제공합니다.\n\n***\n\n### 설치\n\n#### Smithery를 통해 설치\n\n[Smithery를](https://smithery.ai/server/@zzaebok/mcp-wikidata) 통해 Claude Desktop에 Wikidata MCP 서버를 자동으로 설치하는 방법:\n\n지엑스피1\n\n#### 수동 설치\n\n아직 설치되지 않았다면 `uv` 설치하세요.\n\n```bash\n$ curl -LsSf https://astral.sh/uv/install.sh | sh\n```\n\n그런 다음 종속성을 설치합니다.\n\n```bash\n$ git clone https://github.com/zzaebok/mcp-wikidata.git\n$ cd mcp-wikidata\n$ uv sync\n# if you want to run client example together\n$ uv sync --extra example\n```\n\n***\n\n### 달리다\n\n다음을 사용하여 서버를 실행합니다.\n\n```bash\n$ uv run src/server.py\n```\n\n간단한 클라이언트 코드( `langchain-mcp-adapters` 사용)로 테스트하려면 다음을 사용하여 클라이언트를 실행합니다.\n\n```bash\n# in another shell\n$ uv run src/client.py\n```\n\nLLM은 유효한 엔터티 및 속성 식별자를 추출하고, sparql 쿼리를 실행한 후, 마지막으로 봉준호 감독의 영화를 추천합니다.\n\n```python\n{\n \"messages\": [\n HumanMessage(\n content=\"Can you recommend me a movie directed by Bong Joonho?\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"search_entity\",\n \"args\": {\"query\": \"Bong Joon-ho\"},\n }\n ],\n ),\n ToolMessage(\n content=\"Q495980\",\n name=\"search_entity\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"get_properties\",\n \"args\": {\"entity_id\": \"Q495980\"},\n }\n ],\n ),\n ToolMessage(\n content='[\"P345\", \"P244\", \"P214\", \"P227\", ...]',\n name=\"get_properties\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"search_property\",\n \"args\": {\"query\": \"director\"},\n }\n ],\n ),\n ToolMessage(\n content=\"P57\",\n name=\"search_property\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"execute_sparql\",\n \"args\": {\n \"sparql_query\": 'SELECT ?film ?filmLabel WHERE {\\n ?film wdt:P57 wd:Q495980.\\n SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }\\n} LIMIT 1'\n },\n }\n ],\n ),\n ToolMessage(\n content='[{\"film\": {\"type\": \"uri\", \"value\": \"http://www.wikidata.org/entity/Q483761\"}, \"filmLabel\": {\"xml:lang\": \"en\", \"type\": \"literal\", \"value\": \"Mother\"}}]',\n name=\"execute_sparql\",\n ),\n AIMessage(\n content='I recommend the movie \"Mother,\" which was directed by Bong Joon-ho.',\n ),\n ]\n}\n```\n\n***\n\n### 위키데이터 MCP 도구\n\n서버에는 다음 도구가 구현되어 있습니다.\n\n| 도구 | 설명 |\n| ---------------------------------------------------- | ----------------------------------------- |\n| `search_entity(query: str)` | 쿼리로 Wikidata 엔터티 ID를 검색합니다. |\n| `search_property(query: str)` | 쿼리로 Wikidata 속성 ID를 검색합니다. |\n| `get_properties(entity_id: str)` | 주어진 Wikidata 엔터티 ID와 연관된 속성을 가져옵니다. |\n| `execute_sparql(sparql_query: str)` | Wikidata에 SPARQL 쿼리를 실행합니다. |\n| `get_metadata(entity_id: str, language: str = \"en\")` | 주어진 Wikidata 엔터티 ID에 대한 영어 라벨과 설명을 검색합니다. |\n\n***\n\n#### 특허\n\nMIT 라이센스","Korean","ko-KR",{"_29":62,"_33":66,"_38":67},{"_31":63,"_33":64,"_35":65},"使用模型上下文协议与 Wikidata API 交互的服务器实现，提供搜索标识符、提取元数据和执行 SPARQL 查询的工具。","维基数据 MCP 服务器","## 维基数据 MCP 服务器\n\n[![铁匠徽章](https://smithery.ai/badge/@zzaebok/mcp-wikidata)](https://smithery.ai/server/@zzaebok/mcp-wikidata)\n\n使用模型上下文协议 (MCP) 实现 Wikidata API 的服务器端。该项目提供与 Wikidata 交互的工具，例如**搜索标识符**（实体和属性）、**提取元数据**（标签和描述）以及**执行 sparql 查询**。\n\n***\n\n### 安装\n\n#### 通过 Smithery 安装\n\n要通过[Smithery](https://smithery.ai/server/@zzaebok/mcp-wikidata)自动为 Claude Desktop 安装 Wikidata MCP 服务器：\n\n```bash\nnpx -y @smithery/cli install @zzaebok/mcp-wikidata --client claude\n```\n\n#### 手动安装\n\n如果尚未安装`uv` ，请安装。\n\n```bash\n$ curl -LsSf https://astral.sh/uv/install.sh | sh\n```\n\n然后，安装依赖项。\n\n```bash\n$ git clone https://github.com/zzaebok/mcp-wikidata.git\n$ cd mcp-wikidata\n$ uv sync\n# if you want to run client example together\n$ uv sync --extra example\n```\n\n***\n\n### 跑步\n\n使用以下命令运行服务器：\n\n```bash\n$ uv run src/server.py\n```\n\n如果您想使用简单的客户端代码（使用`langchain-mcp-adapters` ）进行测试，请使用以下命令运行客户端：\n\n```bash\n# in another shell\n$ uv run src/client.py\n```\n\nLLM 提取有效的实体和属性标识符，执行 sparql 查询，最后推荐一部由奉俊昊执导的电影。\n\n```python\n{\n \"messages\": [\n HumanMessage(\n content=\"Can you recommend me a movie directed by Bong Joonho?\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"search_entity\",\n \"args\": {\"query\": \"Bong Joon-ho\"},\n }\n ],\n ),\n ToolMessage(\n content=\"Q495980\",\n name=\"search_entity\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"get_properties\",\n \"args\": {\"entity_id\": \"Q495980\"},\n }\n ],\n ),\n ToolMessage(\n content='[\"P345\", \"P244\", \"P214\", \"P227\", ...]',\n name=\"get_properties\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"search_property\",\n \"args\": {\"query\": \"director\"},\n }\n ],\n ),\n ToolMessage(\n content=\"P57\",\n name=\"search_property\",\n ),\n AIMessage(\n tool_calls=[\n {\n \"name\": \"execute_sparql\",\n \"args\": {\n \"sparql_query\": 'SELECT ?film ?filmLabel WHERE {\\n ?film wdt:P57 wd:Q495980.\\n SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }\\n} LIMIT 1'\n },\n }\n ],\n ),\n ToolMessage(\n content='[{\"film\": {\"type\": \"uri\", \"value\": \"http://www.wikidata.org/entity/Q483761\"}, \"filmLabel\": {\"xml:lang\": \"en\", \"type\": \"literal\", \"value\": \"Mother\"}}]',\n name=\"execute_sparql\",\n ),\n AIMessage(\n content='I recommend the movie \"Mother,\" which was directed by Bong Joon-ho.',\n ),\n ]\n}\n```\n\n***\n\n### Wikidata MCP 工具\n\n服务器中实现了以下工具：\n\n| 工具 | 描述 |\n| ---------------------------------------------------- | ----------------------------- |\n| `search_entity(query: str)` | 通过查询来搜索 Wikidata 实体 ID。 |\n| `search_property(query: str)` | 通过查询来搜索 Wikidata 属性 ID。 |\n| `get_properties(entity_id: str)` | 获取与给定 Wikidata 实体 ID 关联的属性。 |\n| `execute_sparql(sparql_query: str)` | 在 Wikidata 上执行 SPARQL 查询。 |\n| `get_metadata(entity_id: str, language: str = \"en\")` | 检索给定 Wikidata 实体 ID 的英文标签和描述。 |\n\n***\n\n#### 执照\n\nMIT 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License","stargazers",8,"glamaJson",4988,"inspectable",true,"integrations",[127,137,144],{"_128":129,"_31":135,"_112":136},"brand",{"_130":131,"_33":132,"_133":134},"logoSvgPath","M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12","GitHub","slug","github","Provides access to the project repository for installation via git clone from 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1.0694-.7267m12.4071.46c.5575 0 1.0806.2159 1.474.6082s.61.9145.61 1.4704c0 .556-.2167 1.078-.61 1.4698v.0006l-.902.8995a2.08 2.08 0 0 1-.8597.5166l-.0164.0047-.0058.0164a2.05 2.05 0 0 1-.474.7308l-.9018.8995c-.3934.3924-.917.6083-1.4745.6083s-1.0806-.216-1.474-.6083c-.813-.8107-.813-2.1294 0-2.9402l.9019-.8995a2.056 2.056 0 0 1 .858-.5143l.017-.0053.0058-.0158a2.07 2.07 0 0 1 .4752-.7337l.9018-.8995c.3934-.3924.9171-.6083 1.4745-.6083zm0 .8965a1.18 1.18 0 0 0-.8388.3462l-.9018.8995a1.181 1.181 0 0 0-.3427.9252l.0053.0572c.0323.2652.149.5044.3374.6917.13.1296.2733.2114.4471.2686a.9.9 0 0 1 .014.1582.884.884 0 0 1-.2609.6304l-.0554.0554c-.3013-.1028-.5525-.253-.7794-.4792a2.06 2.06 0 0 1-.5761-1.0968l-.0099-.0578-.0461.0368a1.1 1.1 0 0 0-.0876.0794l-.9024.8995c-.4623.461-.4623 1.212 0 1.673.2311.2305.535.346.8394.3461.3043 0 .6077-.1156.8388-.3462l.9019-.8995c.4623-.461.4623-1.2113 0-1.673a1.17 1.17 0 0 0-.4367-.2749 1 1 0 0 1-.014-.1611c0-.2591.1023-.505.2901-.6923.3019.1028.57.2694.7962.495.3007.2999.4994.679.5756 1.0968l.0105.0578.0455-.0373a1.1 1.1 0 0 0 .0887-.0794l.902-.8996c.4622-.461.4628-1.2124 0-1.6735a1.18 1.18 0 0 0-.8395-.3462Zm-9.973 5.1567-.0006.0006c-.0793.3078-.1048.8318-.506.847-.033.1776.1228.2445.2655.1874.141-.0645.2081.0508.2557.1657.2177.0317.5394-.0725.5516-.3298-.325-.1867-.4253-.5418-.5662-.8709","LangChain","langchain","Enables integration with LangChain through langchain-mcp-adapters, allowing AI agents to interact with Wikidata's knowledge graph through the Model Context Protocol.","ip4cramyp1",{"_128":145,"_31":149,"_112":150},{"_130":146,"_33":147,"_133":148},"M0 4.583v14.833h.865V4.583zm1.788 0v14.833h2.653V4.583zm3.518 0v14.832H7.96V4.583zm3.547 0v14.834h.866V4.583zm1.789 0v14.833h.865V4.583zm1.759 0v14.834h2.653V4.583zm3.518 0v14.834h.923V4.583zm1.788 0v14.833h2.653V4.583zm3.64 0v14.834h.865V4.583zm1.788 0v14.834H24V4.583Z","Wikidata","wikidata","Provides tools for interacting with Wikidata, including searching for entity and property identifiers, retrieving entity metadata (labels and descriptions), accessing entity properties, and executing SPARQL queries against the Wikidata knowledge base.","na83ignf8w","namespace","npmPackage","prompts","redditPostForeignId","1jwjzhk","resources","scores",{"_159":160,"_161":160,"_162":160},"license",100,"quality","security","simpleIcon","supportedPlatforms","tools",[167,180,188,198,208],{"_33":168,"_31":169,"_170":171},"search_entity","\n Search for a Wikidata entity ID by its query.\n\n Args:\n query (str): The query to search for. The query should be unambiguous enough to uniquely identify the entity.\n\n Returns:\n str: The Wikidata entity ID corresponding to the given query.\"\n ","inputSchema",{"_79":80,"_172":173,"_77":174,"_75":176},"title","search_entityArguments",[175],"query",{"_175":177},{"_79":178,"_172":179},"string","Query",{"_33":181,"_31":182,"_170":183},"search_property","\n Search for a Wikidata property ID by its query.\n\n Args:\n query (str): The query to search for. The query should be unambiguous enough to uniquely identify the property.\n\n Returns:\n str: The Wikidata property ID corresponding to the given query.\"\n ",{"_79":80,"_172":184,"_77":185,"_75":186},"search_propertyArguments",[175],{"_175":187},{"_79":178,"_172":179},{"_33":189,"_31":190,"_170":191},"get_properties","\n Get the properties associated with a given Wikidata entity ID.\n\n Args:\n entity_id (str): The entity ID to retrieve properties for. This should be a valid Wikidata entity ID.\n\n Returns:\n list: A list of property IDs associated with the given entity ID. If no properties are found, an empty list is returned.\n ",{"_79":80,"_172":192,"_77":193,"_75":195},"get_propertiesArguments",[194],"entity_id",{"_194":196},{"_79":178,"_172":197},"Entity Id",{"_33":199,"_31":200,"_170":201},"execute_sparql","\n Execute a SPARQL query on Wikidata.\n\n You may assume the following prefixes:\n PREFIX wd: \n PREFIX wdt: \n PREFIX p: \n PREFIX ps: \n\n Args:\n sparql_query (str): The SPARQL query to execute.\n\n Returns:\n str: The JSON-formatted result of the SPARQL query execution. If there are no results, an empty JSON object will be returned.\n ",{"_79":80,"_172":202,"_77":203,"_75":205},"execute_sparqlArguments",[204],"sparql_query",{"_204":206},{"_79":178,"_172":207},"Sparql Query",{"_33":209,"_31":210,"_170":211},"get_metadata","\n Retrieve the English label and description for a given Wikidata entity ID.\n\n Args:\n entity_id (str): The entity ID to retrieve metadata for.\n language (str): The language code for the label and description (default is \"en\"). 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