About Tidymodels MCP Server
Tidymodels MCP Server gives R-focused AI workflows access to information about packages, functions, repository issues, and code templates in the tidymodels ecosystem. It is designed for users of Cline, Claude Desktop, and other agent workflows.
Key features
- 01List tidymodels packages
- 02Retrieve package details
- 03Search R functions
- 04Generate task-oriented R templates
- 05Search repository issues
- 06Access repository and documentation resources
Use cases
- 01Explore packages in the tidymodels ecosystem
- 02Find functions for an R analysis task
- 03Draft code for modeling workflows
- 04Check open or closed repository issues
MCP support
The MCP server exposes tools for package lookup, function search, code generation, and issue search, along with repository, documentation, and template resources. It can be connected locally to Cline and Claude Desktop.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMETidymodels MCP Server

A Model Context Protocol (MCP) server that provides tools and resources for working with the tidymodels ecosystem in R.
Overview
While this MCP server is extensible for use with tool-agnostic agentic AI workflows, in it's current form it can be paired with Cline.bot and Claude Desktop as a local MCP server. The purpose of this MCP is to monitor the tidymodels ecosystem, specifically the GitHub repositories under the tidymodels organization, providing comprehensive information about tidymodels packages, functions, and common workflows.
Currently, I'm getting better MCP performance when paired with Cline to:
- List all packages in the tidymodels ecosystem
- Provide detailed information about specific packages
- Search for R functions across tidymodels packages
- Generate template code for common tidymodels tasks
- Search for issues in tidymodels repositories
Installation
Prerequisites
Setup
-
Clone this repository:
git clone https://github.com/yourusername/tidymodels-mcp.git cd tidymodels-mcp -
Install dependencies:
npm install -
Build the server:
npm run build
Configuration
GitHub Token (Optional)
The server can use a GitHub token to avoid rate limits when accessing the GitHub API. To provide a token:
- Create a personal access token with the
public_reposcope. - Add it to your configuration as shown below.
Adding to Cline in Visual Studio Code, Positron, and OSS Code IDEs
After you've installed Cline's VS Code extension, navigate to its MCP Servers marketplace where you can configure local MCP server settings. Then, add the JSON to Cline's cline_mcp_settings.json (if you want to autoapprove the core tools within this MCP server library, keep the names shown in the autoApprove list):
{
"mcpServers": {
"tidymodels": {
"command": "node",
"args": ["/path/to/tidymodels-mcp/js/index.js"],
"env": {
"GITHUB_TOKEN": "your-github-token"
},
"disabled": false,
"autoApprove": [
"list_tidymodels_packages",
"get_package_details",
"search_r_functions",
"generate_tidymodels_code",
"search_issues"
]
}
}
}
Adding to Claude Desktop
To use this MCP server with Claude Desktop, add it to your claude_desktop_config.json:
{
"mcpServers": {
"tidymodels": {
"command": "node",
"args": ["/path/to/tidymodels-mcp/js/index.js"],
"env": {
"GITHUB_TOKEN": "your-github-token"
},
"disabled": false,
"autoApprove": []
}
}
}
The config file is typically located at:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
Available Tools
The server provides the following tools:
list_tidymodels_packages
Lists all packages in the tidymodels ecosystem.
Arguments:
- refresh (optional): Force a refresh of the repository cache
get_package_details
Get detailed information about a specific tidymodels package.
Arguments:
- package (required): Package name
search_r_functions
Search for R functions in tidymodels packages.
Arguments:
- query (required): Function name or keyword to search for
- package (optional): Limit search to a specific package
generate_tidymodels_code
Generate R code for common tidymodels tasks.
Arguments:
- task (required): Description of the task
- template (optional): Type of template (recipe, model, tune, evaluation)
search_issues
Search for issues in tidymodels repositories.
Arguments:
- query (required): Search query
- repo (optional): Limit search to a specific repository
- state (optional): Issue state (open, closed, all)
Available Resources
The server also provides access to:
- All repositories in the tidymodels GitHub organization
- Documentation about tidymodels packages
- Template code for common tasks
Usage Examples
Here are some examples of how to use this MCP server with Cline:
Listing Tidymodels Packages
I'd like to know what packages are available in the tidymodels ecosystem.
Getting Package Details
Can you tell me about the parsnip package in tidymodels?
Searching for Functions
I need to find R functions related to cross-validation in tidymodels.
Generating Code Templates
Generate code for a tidymodels workflow that predicts housing prices using random forests.
Searching Issues
Show me open issues related to recipe preprocessing in tidymodels.
Development
Project Structure
js/: Contains the JavaScript/Node.js server implementationsrc/: Contains the TypeScript source (if using TypeScript)build/: Output directory for build files
Building from Source
If you've made changes to the TypeScript files, you can rebuild the server with:
npm run build
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- The tidymodels team for their excellent R packages
- The Model Context Protocol for enabling enhanced AI capabilities
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.