What is surya madhav MCP
MCP Web Tools Server
A Model Context Protocol (MCP) server that provides tools for web-related operations. This server allows LLMs to interact with web content through standardized tools.
Current Tools
- web_scrape: Converts a URL to use r.jina.ai as a prefix and returns the markdown content
Installation
-
Clone this repository:
git clone <repository-url> cd MCP
-
Install the required dependencies:
pip install -r requirements.txt
Alternatively, you can use uv for faster installation:
uv pip install -r requirements.txt
Running the Server and UI
This repository includes convenient scripts to run either the MCP server or the Streamlit UI.
Using the Run Scripts
On macOS/Linux:
# Run the server with stdio transport (default)
./run.sh server
# Run the server with SSE transport
./run.sh server --transport sse --host localhost --port 5000
# Run the Streamlit UI
./run.sh ui
On Windows:
# Run the server with stdio transport (default)
run.bat server
# Run the server with SSE transport
run.bat server --transport sse --host localhost --port 5000
# Run the Streamlit UI
run.bat ui
Running Manually
Alternatively, you can run the server directly:
Using stdio (default)
python server.py
Using SSE
python server.py --transport sse --host localhost --port 5000
This will start an HTTP server on localhost:5000
that accepts MCP connections.
And to run the Streamlit UI manually:
streamlit run streamlit_app.py
Testing with MCP Inspector
The MCP Inspector is a tool for testing and debugging MCP servers. You can use it to interact with your server:
-
Install the MCP Inspector:
npm install -g @modelcontextprotocol/inspector
-
Run the Inspector with your server:
npx @modelcontextprotocol/inspector python server.py
-
Use the Inspector interface to test the
web_scrape
tool by providing a URL likeexample.com
and viewing the returned markdown content.
Integrating with Claude for Desktop
To use this server with Claude for Desktop:
-
Make sure you have Claude for Desktop installed.
-
Open the Claude for Desktop configuration file:
- Mac:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- Mac:
-
Add the following configuration (adjust the path as needed):
{
"mcpServers": {
"web-tools": {
"command": "python",
"args": [
"/absolute/path/to/MCP/server.py"
]
}
}
}
-
Restart Claude for Desktop.
-
You should now see the web_scrape tool available in Claude's interface. You can ask Claude to fetch content from a website, and it will use the tool.
Example Usage
Once integrated with Claude, you can ask questions like:
- "What's on the homepage of example.com?"
- "Can you fetch and summarize the content from mozilla.org?"
- "Get the content from wikipedia.org/wiki/Model_Context_Protocol and explain it to me."
Claude will use the web_scrape tool to fetch the content and provide it in its response.
Adding More Tools
To add more tools to this server:
-
Create a new Python file in the
tools/
directory, e.g.,tools/new_tool.py
. -
Implement your tool function, following a similar pattern to the existing tools.
-
Import your tool in
server.py
and register it with the MCP server:
# Import your new tool
from tools.new_tool import new_tool_function
# Register the tool with the MCP server
@mcp.tool()
async def new_tool(param1: str, param2: int) -> str:
"""
Description of what your tool does.
Args:
param1: Description of param1
param2: Description of param2
Returns:
Description of return value
"""
return await new_tool_function(param1, param2)
- Restart the server to apply the changes.
Streamlit UI
This repository includes a Streamlit application that allows you to connect to and test all your MCP servers configured in Claude for Desktop.
Running the Streamlit UI
streamlit run streamlit_app.py
This will start the Streamlit server and open a web browser with the UI.
Features
- Load and parse your Claude for Desktop configuration file
- View all configured MCP servers
- Connect to any server and view its available tools
- Test tools by providing input parameters and viewing results
- See available resources and prompts
Usage
- Start the Streamlit app
- Enter the path to your Claude for Desktop configuration file (default path is pre-filled)
- Click "Load Servers" to see all available MCP servers
- Select a server tab and click "Connect" to load its tools
- Select a tool and provide the required parameters
- Click "Execute" to run the tool and see the results
Troubleshooting
- Missing dependencies: Make sure all dependencies in
requirements.txt
are installed. - Connection issues: Check that the server is running and the configuration in Claude for Desktop points to the correct path.
- Tool execution errors: Look for error messages in the server output.
- Streamlit UI issues: Make sure Streamlit is properly installed and the configuration file path is correct.
License
This project is available under the MIT License. See the LICENSE file for more details.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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