MCP Server Setup
Overview
This guide covers the steps required to run the Kensho LLM-Ready API MCP (Model Context Protocol) (opens in a new tab) server locally. As there is currently no remote MCP server offering for the LLM-Ready API, users are required to run the MCP server on their own machines.
The guide includes information on ensuring an appropriate Python version is installed, how to install the LLM-Ready API client package, and finally how to connect to the MCP server using Claude Desktop (opens in a new tab).
Python Installation
For users who do not already have Python>=3.10
installed, please follow instructions here (opens in a new tab) to get set up.
LLM-Ready API Installation
Installation instructions are provided in the kFinance (opens in a new tab) GitHub repo, but for clarity they are reproduced here. Simply run:
pip install kensho-kfinance
Then confirm in the output that the installation completed successfully.
Adding the MCP server to Claude Desktop
Below are the basic steps required to add the LLM-Ready API MCP server to Claude Desktop’s available tools. More detailed information can be found on the official MCP documentation (opens in a new tab).
- Open Claude Desktop.
- Navigate to the
Settings
panel. - In the “Developer” tab, click “Edit Config”.
- Open
claude_desktop_config.json
in a text editor like Notepad or TextEdit. - Paste the following settings into the config, replacing
<path_to_python>
below with your appropriate path which can be found by runningwhich python
.
{
"mcpServers": {
"kfinance": {
"command": "<path_to_python>",
"args": [
"-m",
"kfinance.mcp",
"--stdio"
]
}
}
}
- Exit and restart Claude Desktop.