- Explore MCP Servers
- Streamlit-as-an-MCP-Host
Streamlit As An Mcp Host
What is Streamlit As An Mcp Host
Streamlit-as-an-MCP-Host is a Model Context Protocol (MCP) server designed to fetch and summarize Wikipedia articles using Ollama LLM models. It provides both command-line and Streamlit interfaces for easy access to article summaries.
Use cases
Use cases include summarizing articles for academic research, creating content outlines, quickly gathering information for presentations, and enhancing learning experiences by providing concise information.
How to use
To use Streamlit-as-an-MCP-Host, first ensure you have Python 3.8+ and the Ollama model installed. Clone the repository, install the required packages, and run the MCP server. You can then use the command-line client or the Streamlit interface to fetch and summarize Wikipedia articles by providing the article URL.
Key features
Key features include a user-friendly Streamlit interface, a command-line client for quick access, and the ability to summarize Wikipedia articles efficiently using advanced Ollama LLM models.
Where to use
Streamlit-as-an-MCP-Host can be used in various fields such as education, research, content creation, and any domain where quick information retrieval from Wikipedia is beneficial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Streamlit As An Mcp Host
Streamlit-as-an-MCP-Host is a Model Context Protocol (MCP) server designed to fetch and summarize Wikipedia articles using Ollama LLM models. It provides both command-line and Streamlit interfaces for easy access to article summaries.
Use cases
Use cases include summarizing articles for academic research, creating content outlines, quickly gathering information for presentations, and enhancing learning experiences by providing concise information.
How to use
To use Streamlit-as-an-MCP-Host, first ensure you have Python 3.8+ and the Ollama model installed. Clone the repository, install the required packages, and run the MCP server. You can then use the command-line client or the Streamlit interface to fetch and summarize Wikipedia articles by providing the article URL.
Key features
Key features include a user-friendly Streamlit interface, a command-line client for quick access, and the ability to summarize Wikipedia articles efficiently using advanced Ollama LLM models.
Where to use
Streamlit-as-an-MCP-Host can be used in various fields such as education, research, content creation, and any domain where quick information retrieval from Wikipedia is beneficial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Wikipedia Summarizer MCP Server
A Model Client Protocol (MCP) server that fetches Wikipedia articles and summarizes them using Ollama LLM models.
Overview
This project consists of three main components:
- Ollama Server: An MCP server that provides a tool to summarize Wikipedia articles using Ollama LLM models
- Command-line Client: A client that can connect to the MCP server and request article summaries
- Streamlit Interface: A web UI that provides a user-friendly way to interact with the MCP server
Prerequisites
- Python 3.8+
- Ollama installed and running locally with the
deepseek-r1:1.5bmodel (or update the model inollama_server.py) - Internet connection to fetch Wikipedia articles
Installation
- Clone this repository
- Install the required packages:
uv pip install -r requirements.txt
Running the Server
Start the MCP server:
uv run -- ollama_server.py
The server will be available at http://localhost:8000/sse.
Using the Command-line Client
uv run -- updated_client.py http://localhost:8000/sse https://en.wikipedia.org/wiki/Python_(programming_language)
Using the Streamlit Interface
Start the Streamlit application:
uv run -- streamlit run streamlit_new.py
Then open your browser at the URL provided by Streamlit (typically http://localhost:8501) and:
- Enter the MCP Server URL (default: http://localhost:8000/sse)
- Enter a Wikipedia article URL
- Click “Fetch and Summarize Article”
Components
ollama_server.py
Implements the MCP server with a tool for summarizing Wikipedia articles. It fetches article content, converts it to markdown, and uses Ollama to generate a summary.
updated_client.py
A command-line client that connects to the MCP server and calls the summarize_wikipedia_article tool.
streamlit_new.py
A Streamlit-based web interface that provides a user-friendly way to interact with the MCP server.
License
MIT License
Copyright © 2025
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the “Software”), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










