MCP Wikidata
A Wikidata data access server based on the Model Context Protocol, providing 5 tools for large - language models to interact with Wikidata, including entity search, SPARQL query and other functions.
rating : 2.5 points
downloads : 5.2K
What is the MCP Wikidata Server?
This server acts as a bridge between language models and the Wikidata knowledge base, allowing AI to conduct searches and obtain structured information.How to use this service?
The server integrates directly with Claude Desktop and offers 5 main tools for querying Wikidata. No technical configuration is required for the end - user.Typical use cases
Ideal for: fact - checking, enriching responses with structured data, exploring relationships between concepts, searching for specific entities.Main features
Entity search
Find items in Wikidata by name, with language and type filters
Complete details
Get all the information about a specific Wikidata entity
Custom queries
Execute complex queries using the SPARQL language
Relationship exploration
Discover how concepts are connected in Wikidata
Search by property
Find entities with specific characteristics
Strengths
Direct access to the rich Wikidata knowledge base
Multilingual support
Intelligent cache for optimal performance
Transparent integration with Claude
Limitations
Requires an internet connection
Rate limit for Wikidata API calls
Some complex queries may be slow
User guide
Installation
The server is pre - configured in Claude Desktop, no installation is required for end - users.
Access to tools
The 5 Wikidata tools are automatically available in the Claude interface.
Query execution
Use natural language commands like 'Search for Monet's works' or 'What are Einstein's relationships?'
Concrete examples
Search for a scientist
Find information about a famous physicist
Relationship exploration
Discover the connections between entities
Frequently Asked Questions
Why do some queries fail?
How to change the language of the results?
Useful resources
Wikidata Documentation
Official guide to the Wikidata API
SPARQL Guide
Wikidata query service

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.8K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
15.6K
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
43.6K
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.3K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.6K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.0K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
29.4K
4.8 points




