wikipedia-mcp and WikidataMCP

Both are Model Context Protocol (MCP) servers, but one retrieves information from Wikipedia and the other from Wikidata, making them complementary tools for LLMs seeking context from different knowledge bases.

wikipedia-mcp
66
Established
WikidataMCP
49
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 25/25
Community 21/25
Maintenance 13/25
Adoption 6/25
Maturity 15/25
Community 15/25
Stars: 196
Forks: 44
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 24
Forks: 5
Downloads:
Commits (30d): 0
Language: Python
License: BSD-3-Clause
No risk flags
No Package No Dependents

About wikipedia-mcp

Rudra-ravi/wikipedia-mcp

A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.

This tool helps your AI assistant provide accurate, up-to-date information by giving it direct access to Wikipedia. You tell your AI assistant what topic to search for, and it retrieves article content, summaries, specific sections, or related topics from Wikipedia in multiple languages or regional variants. This is designed for anyone who uses large language models or AI assistants and needs them to respond with factual, externally-verified information.

AI-assistance fact-checking information-retrieval knowledge-grounding AI-workflow-enhancement

About WikidataMCP

wmde/WikidataMCP

Model Context Protocol for Wikidata

This tool helps AI agents or complex AI workflows interact with Wikidata by providing standardized ways to search, inspect, and query its vast knowledge base. Your AI application can provide natural language queries and receive structured data about entities, properties, and relationships from Wikidata. It's designed for AI developers building applications that need to dynamically access and reason over encyclopedic knowledge without hardcoded assumptions about Wikidata's evolving structure.

AI-driven knowledge retrieval Wikidata integration Agentic AI development Semantic search Knowledge graph querying

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