CRAN Package README MCP Server
Fetch comprehensive information about CRAN packages, including READMEs, metadata, and search functionality.
CRAN Package README MCP Server
An MCP (Model Context Protocol) server that enables AI assistants to fetch comprehensive information about CRAN (Comprehensive R Archive Network) packages, including README content, package metadata, and search functionality.
Features
- Package README Retrieval: Fetch formatted README content with usage examples from R/CRAN packages hosted on CRAN repository
- Package Information: Get comprehensive package metadata including dependencies, versions, maintainer information, and documentation
- Package Search: Search CRAN repository with filtering by category, topic, and popularity
- Smart Caching: Intelligent caching system to optimize API usage and improve response times
- GitHub Integration: Seamless integration with GitHub API for enhanced README fetching from package repositories
- Error Handling: Robust error handling with automatic retry logic and fallback strategies
MCP Client Configuration
Add this server to your MCP client configuration:
{
"mcpServers": {
"cran-package-readme": {
"command": "npx",
"args": ["cran-package-readme-mcp-server"],
"env": {
"GITHUB_TOKEN": "your_github_token_here"
}
}
}
}
Note: The
GITHUB_TOKENis optional but recommended for higher API rate limits when fetching README content from GitHub.
Available Tools
get_package_readme
Retrieves comprehensive README content and usage examples for CRAN packages.
Parameters:
{
"package_name": "ggplot2",
"version": "latest",
"include_examples": true
}
package_name(string, required): CRAN package name (e.g., "ggplot2", "dplyr")version(string, optional): Specific package version or "latest" (default: "latest")include_examples(boolean, optional): Include usage examples and code snippets (default: true)
Returns: Formatted README content with installation instructions, usage examples, and function documentation.
get_package_info
Fetches detailed package metadata, dependencies, and maintainer information from CRAN.
Parameters:
{
"package_name": "dplyr",
"include_dependencies": true,
"include_dev_dependencies": false
}
package_name(string, required): CRAN package nameinclude_dependencies(boolean, optional): Include runtime dependencies (default: true)include_dev_dependencies(boolean, optional): Include development dependencies (default: false)
Returns: Package metadata including version info, maintainer details, license, download stats, and dependency information.
search_packages
Searches CRAN repository for packages with filtering capabilities.
Parameters:
{
"query": "machine learning",
"limit": 20,
"category": "MachineLearning"
}
query(string, required): Search terms (package name, description, keywords)limit(number, optional): Maximum number of results to return (default: 20, max: 100)category(string, optional): Filter by package category (Graphics, Statistics, MachineLearning, etc.)
Returns: List of matching packages with names, descriptions, maintainers, and popularity metrics.
Error Handling
The server handles common error scenarios gracefully:
- Package not found: Returns clear error messages with similar package suggestions
- Rate limiting: Implements automatic retry with exponential backoff
- Network timeouts: Configurable timeout with retry logic
- Invalid package names: Validates package name format and provides guidance
- CRAN mirror failures: Fallback strategies when primary CRAN mirror is unavailable
License
MIT
Servidores relacionados
Scout Monitoring MCP
patrocinadorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
patrocinadorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Cloudflare MCP Server
An example MCP server designed for easy deployment on Cloudflare Workers, operating without authentication.
MCP Aggregator
A universal aggregator that combines multiple MCP servers into a single endpoint.
Cntx UI
A minimal file bundling and tagging tool for AI development, featuring a web interface and MCP server mode for AI integration.
Bifrost VSCode Dev Tools
Exposes VSCode dev tools features to MCP clients, with support for project-specific configurations.
MCP Gemini CLI
Integrate with Google Gemini through its command-line interface (CLI).
PackageLens MCP
Lets your coding agent (such as Claude, Cursor, Copilot, Gemini or Codex) search package registries across multiple ecosystems (npm, PyPI, RubyGems, Crates.io, Packagist, Hex) and fetch package context (README, downloads, GitHub info, usage snippets)
Read Docs MCP
Enables AI agents to access and understand package documentation from local or remote repositories.
ComfyUI
An MCP server for ComfyUI integration.
Chrome DevTools MCP
chrome-devtools-mcp lets your coding agent (such as Gemini, Claude, Cursor or Copilot) control and inspect a live Chrome browser
Kubeshark
MCP access to cluster-wide L4 and L7 network traffic, packets, APIs, and complete payloads.