acquaint

acquaint implements a Model Context Protocol (MCP) server for your R sessions. When configured with acquaint, MCP-enabled tools like Claude Desktop and Claude Code can run R code in the sessions you have running to answer your questions. While the package supports configuring arbitrary R functions, acquaint provides a default set of tools from btw to:

• Peruse the documentation of packages you have installed,
• Check out the objects in your global environment, and
• Retrieve metadata about your session and platform.

IMPORTANT: This package is highly experimental and its interface may change rapidly!

Installation

You can install the development version of acquaint like so:

pak::pak("posit-dev/acquaint")

acquaint can be hooked up to any application that supports MCP. For example, to use with Claude Desktop, you might paste the following in your Claude Desktop configuration (on macOS, at ~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "r-acquaint": {
      "command": "Rscript",
      "args": ["-e", "acquaint::mcp_server()"]
    }
  }
}

Or, to use with Claude Code, you might type in a terminal:

claude mcp add -s "user" r-acquaint -- Rscript -e "acquaint::mcp_server()"

Then, in your R session, call acquaint::mcp_session(). (You might include a call to this function in your .Rprofile, perhaps using usethis::edit_r_profile(), to automatically register every session you start up.)

For a more thorough introduction, see the vignette “Getting started with acquaint” with vignette("acquaint", package = "acquaint").

Example

In Claude Desktop, I’ll write the following:

Using the R packages I have installed, write code to download data on flights in/out of Chicago airports in 2024.

In a typical chat interface, I’d be wary of two failure points here:

1. The model doesn’t know which packages I have installed.
2. If the model correctly guesses which packages I have installed, there may not be enough information about how to use the packages baked into its weights to write correct code.

Through first searching through my installed packages, Claude can locate the anyflights package, which seems like a reasonable solution. The model then discovers the package’s anyflights() function and reads its documentation, and can pattern-match from there to write the correct code.