MCP
by Lacri1
MCP allows you to configure a server to view company information and stock prices using Claude. It utilizes a configuration file to define server settings.
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What is MCP?
MCP is a configurable server designed to retrieve and display company information and stock prices, leveraging the Claude AI model.
How to use MCP?
Configure the claude_desktop_config.json
file with the appropriate server settings, including the command and arguments to execute the server. Ensure the project directory path is correctly set. Then, run the server using the specified command (e.g., uv
).
Key features of MCP
Configurable server settings
Integration with Claude AI
Retrieval of company information
Retrieval of stock prices
JSON configuration
Use cases of MCP
Displaying real-time stock prices
Providing company financial data
Integrating with desktop applications
Creating custom financial dashboards
FAQ from MCP
What is the purpose of the claude_desktop_config.json
file?
What is the purpose of the claude_desktop_config.json
file?
The claude_desktop_config.json
file contains the configuration settings for the MCP server, including the command to execute and any necessary arguments.
How do I specify the project directory?
How do I specify the project directory?
The project directory is specified within the args
array in the claude_desktop_config.json
file. Ensure the path is correct for your local environment.
What is 'uv' in the command?
What is 'uv' in the command?
'uv' is likely a command-line tool used to run the Python script. It might be a virtual environment manager or a similar tool.
Can I configure multiple MCP servers?
Can I configure multiple MCP servers?
Yes, the claude_desktop_config.json
file allows you to define multiple MCP servers within the mcpServers
object.
What kind of company information can MCP retrieve?
What kind of company information can MCP retrieve?
The specific company information retrieved depends on the implementation within main.py
and the Claude AI model. It could include financial statements, news articles, and other relevant data.