Wikipedia MCP Server
The Wikipedia MCP server facilitates access to Wikipedia articles, summaries, sections, links, and related topics through a standardized MCP interface, enabling large language models to fetch precise information for improved contextual responses.
Added on:
Created by:
Apr 26 2025
The Wikipedia MCP server facilitates access to Wikipedia articles, summaries, sections, links, and related topics through a standardized MCP interface, enabling large language models to fetch precise information for improved contextual responses.
Added on:
Created by:
Apr 26 2025
RAVIKUMAR E
Featured
What is Wikipedia MCP Server?
This MCP server allows AI systems to connect to Wikipedia and retrieve various types of information such as full articles, summaries, specific sections, links, and related topics in real-time. It uses the Model Context Protocol for seamless communication with LLMs, supporting multiple languages and offering tools for searching and data extraction. This setup helps enhance the factual grounding of AI outputs by providing authoritative Wikipedia content directly, thus improving the relevance and accuracy of AI-generated responses in applications like chatbots, knowledge bases, and AI assistants.
Who will use Wikipedia MCP Server?
- AI developers
- Researchers integrating Wikipedia data
- LMS and chatbot creators
- Data analysts
- Educational technology developers
How to use the Wikipedia MCP Server?
- Step 1: Install the MCP server using pipx, virtual environment, or from source as per instructions.
- Step 2: Launch the server following the command for your installation method.
- Step 3: Configure the MCP server in your AI system or client (e.g., Claude Desktop).
- Step 4: Use MCP tools like search_wikipedia, get_article, get_summary, etc., to interact with Wikipedia data.
- Step 5: Request specific information through prompts or API calls to enrich AI responses.
Wikipedia MCP Server's Core Features & Benefits
The Core Features
- search_wikipedia
- get_article
- get_summary
- get_sections
- get_links
- get_related_topics
The Benefits
- Provides accurate, up-to-date information from Wikipedia
- Supports multiple languages
- Enables detailed data retrieval and summarization
- Enhances AI responses with authoritative sources
- Seamless integration via MCP protocol
Wikipedia MCP Server's Main Use Cases & Applications
- Enhancing AI chatbots with factual Wikipedia data
- Research tools for extracting specific Wikipedia sections
- Developing knowledge bases with up-to-date Wikipedia info
- Educational applications providing concise Wikipedia summaries
- Automated research and reference generation
FAQs of Wikipedia MCP Server
Developer
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Knowledge And Memory
A Next.js-based chat interface connecting to MCP servers with tool-calling and styled UI.
A Spring Boot-based MCP client demonstrating how to handle chat requests and responses in a robust application.
Spring Boot app providing REST API for AI inference and knowledge base management with language model integration.
A server that executes AppleScript commands, providing full control over macOS automations remotely.
An MCP server for managing notes with features like viewing, adding, deleting, and searching notes in Claude Desktop.
Fetches latest knowledge from deepwiki.com, converts pages to Markdown, and provides structured or single document outputs.
A client library enabling SSE-based real-time interaction with Notion MCP servers through a local setup.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
A straightforward client for managing and building MCP (Model Context Protocol) communications efficiently.
A server that queries Solana transactions via natural language using the Solscan API, simplifying blockchain interactions.