Streamlit As An MCP Host
An MCP server project based on the Ollama LLM model, providing Wikipedia article retrieval and summary generation functions, including a command-line client and a Streamlit web interface.
rating : 2 points
downloads : 6.1K
What is Wikipedia Summarizer?
This is an intelligent service system that can automatically retrieve Wikipedia articles and use an AI language model to generate concise content summaries. It helps users quickly understand the core content of an article without reading the whole text.How to use Wikipedia Summarizer?
You can use it in three ways: 1) Web interface (the simplest) 2) Command-line tool (suitable for developers) 3) Direct API call (suitable for integration)Use cases
Suitable for students' research, content creators to get inspiration, professionals to quickly understand knowledge in new fields, and any scenario where a quick summary of information is needed.Main features
Intelligent summary generation
Use an advanced AI language model to automatically analyze article content and generate concise summaries
Multi-platform access
Provide three access methods: web interface, command-line tool, and API to meet the needs of different users
Real-time processing
Retrieve the latest article content directly from Wikipedia to ensure the timeliness of summary information
Advantages
Save time: Quickly get the core content of an article without reading the whole text
Easy to use: Provide a user-friendly web interface without the need for a technical background
Flexible access: Support multiple usage methods to meet the needs of different scenarios
Limitations
Dependent on network connection: Need Internet access to Wikipedia
Model limitations: The quality of summaries is limited by the capabilities of the AI model
Only support English: Currently mainly process English Wikipedia content
How to use
Start the service
First, you need to start the MCP server, which will provide the summary generation function
Choose the usage method
Choose the web interface, command-line tool, or API call according to your needs
Get the summary
Provide the Wikipedia article link, and the system will return the content summary
Usage examples
Academic research
Students quickly understand the core content of relevant topics when writing papers
Content creation
Writers get inspiration and background knowledge for creation
Frequently Asked Questions
What software needs to be installed to use it?
How long is the service response time?
Can it process Chinese Wikipedia?
Related resources
Ollama project official website
Understand the AI model technology used
Wikipedia API documentation
Understand the content retrieval method
GitHub repository
Get the source code and the latest version

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

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
15.8K
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.8K
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
44.8K
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
30.5K
4.8 points






