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You can connect OIPD’s hosted docs to AI coding tools through MCP. MCP, or Model Context Protocol, is a standard way for an AI tool to ask an external source for context. In this case, the external source is the OIPD documentation. When you connect the docs MCP server, your coding agent can search the OIPD docs and read relevant pages while it writes code. That helps the agent use current OIPD examples, object names, and workflow guidance instead of relying only on what it already knows.

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Find the MCP URL

The OIPD docs MCP server is available at: 
https://docs.open-lemma.com/mcp
You can also use the page menu’s Copy MCP server URL or Connect to Cursor option instead of typing the URL manually.

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Choose where to add the server

For personal use, add the MCP server to your own editor or coding agent settings. For a team project, only commit shared MCP configuration if your team has agreed to use the same docs server. This connection gives the agent documentation context. It does not install OIPD in your Python environment. If you have not installed OIPD yet, see Installation.

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Claude Code

Run this command from the project where you use Claude Code: 
claude mcp add --transport http OIPD https://docs.open-lemma.com/mcp
Check that Claude Code registered the server: 
claude mcp list
Inside Claude Code, you can also run: 
/mcp
Use it when you want to check the server status or complete any authentication flow required by your tool.

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OpenAI Codex

Run this command in your terminal: 
codex mcp add OIPD --url https://docs.open-lemma.com/mcp
Check that Codex registered the server: 
codex mcp list
If Codex is already running, start a new Codex session so it can load the new MCP server.

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Cursor

In Cursor, open the command palette and search for Open MCP settings. Add this server to mcp.json: 
{
  "mcpServers": {
    "OIPD": {
      "url": "https://docs.open-lemma.com/mcp"
    }
  }
}
After saving the file, open Cursor chat and ask: 
What MCP tools do you have available?
Cursor should show the OIPD docs server as an available MCP tool.

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VS Code

In VS Code, run MCP: Open Workspace Folder MCP Configuration from the command palette. If .vscode/mcp.json does not exist, VS Code creates it for you. Add this configuration: 
{
  "servers": {
    "oipdDocs": {
      "type": "http",
      "url": "https://docs.open-lemma.com/mcp"
    }
  }
}
Then run MCP: List Servers from the command palette to confirm that VS Code can see the server.

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Ask the agent to use the docs

Once the MCP server is connected, be explicit in your prompt: 
Use the OIPD docs MCP server for context. Write a Python script that loads options data, builds the required market inputs, fits a single-expiry probability curve, and plots the result.
The agent can then use the docs as context while it generates code. You should still review the output, run the code locally, and check any assumptions about your data source, ticker, expiry date, and Python environment.