LLM-Ready API MCP Servers

Overview

There are two options for utilizing the Kensho LLM-Ready API MCP server:

1. Connecting to the Kensho-hosted remote MCP server
2. Running the MCP server locally on your machine.

This page will cover instructions for each option.

Remote MCP Server

Adding the remote MCP server to Claude

Below are the steps required to add the LLM-Ready API remote MCP server to Claude (opens in a new tab) or Claude Desktop.

These instructions apply to team owners adding a connector to their team's account for the first time.

1. Navigate to Claude's connector settings (opens in a new tab).
2. Click "Add custom connector" at the bottom of the page.

3. Under name, add a descriptive name to identify the connector, for instance "S&P Global".

4. Input the MCP server URL: https://kfinance.kensho.com/integrations/mcp (opens in a new tab).
5. Click "Add".

Once the connector has been added to the team's account, follow these instructions to use the connector:

1. Navigate to Claude's connector settings (opens in a new tab).
2. Find the S&P Global LLM-Ready API MCP connector.
3. Click "Connect".
4. You can now utilize the Kensho LLM-Ready API MCP tools in your chats with Claude, and you can verify this under "Search and tools" in your chat.

Local MCP Server

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 local 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).

1. Open Claude Desktop.
2. Navigate to the Settings panel.
3. In the “Developer” tab, click “Edit Config”.
4. Open claude_desktop_config.json in a text editor like Notepad or TextEdit.
5. Paste the following settings into the config, replacing <path_to_python> below with your appropriate path which can be found by running which python.

{
  "mcpServers": {
    "kfinance": {
      "command": "<path_to_python>",
        "args": [
          "-m",
          "kfinance.mcp",
          "--stdio"
        ]
     }
   }
}

6. Exit and restart Claude Desktop.