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Add comprehensive package documentation
Documentation improvements: 1. NEWS.md - Complete version history - Detailed 0.3.0 release notes (prompts, testing, improvements) - Complete 0.2.0 release notes (resources, stdio, schemas) - Complete 0.1.0 release notes (initial release) - Organized by New Features, Improvements, Documentation, Bug Fixes 2. Package-level documentation (R/plumber2mcp-package.R) - Comprehensive package overview with all features - Quick start examples for HTTP and stdio transports - Main functions organized by category (Core, Resources, Prompts) - MCP protocol details and supported methods - Configuration options documented - Links to external resources - Full working examples 3. Updated DESCRIPTION - Enhanced description mentioning tools, resources, and prompts - Highlights rich schema generation and documentation 4. cran-comments.md - Template for CRAN submission - Test environment documentation - Package summary The package now has professional-grade documentation suitable for: - CRAN submission - User onboarding - API reference - Version tracking Users can now run ?plumber2mcp to get comprehensive package help.
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DESCRIPTION

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@@ -6,9 +6,10 @@ Maintainer: Bulent Arman Aksoy <arman@aksoy.org>
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Authors@R:
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person("Bulent Arman", "Aksoy", , "arman@aksoy.org", role = c("aut", "cre"))
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Description: Extends plumber APIs with Model Context Protocol (MCP) support,
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enabling AI assistants to discover and call your API endpoints as tools.
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enabling AI assistants to discover and call your API endpoints as tools,
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read resources for context, and use prompt templates for guided interactions.
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Simply add pr_mcp() to your plumber pipeline to automatically expose all
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endpoints via the MCP protocol.
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endpoints via the MCP protocol with rich schema generation and documentation.
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License: MIT + file LICENSE
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Encoding: UTF-8
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Roxygen: list(markdown = TRUE)

NEWS.md

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# plumber2mcp 0.3.0
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## New Features
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### Prompts Support
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* Added full MCP Prompts support allowing you to define reusable prompt templates that AI assistants can discover and use
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* New `pr_mcp_prompt()` function to register prompt templates with your MCP server
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* Prompts support optional arguments with required/optional parameters
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* Prompts can return simple strings, structured messages, or multi-turn conversations
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* Both HTTP and stdio transports fully support prompts
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* Added `prompts/list` and `prompts/get` JSON-RPC handlers
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* Updated `initialize` response to advertise prompts capability
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### Enhanced Testing
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* Added comprehensive edge case testing (24 new tests)
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* Added integration tests for combined features (10 new tests)
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* Added security and validation tests (18 new tests)
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* Total test count increased from ~69 to ~121 tests (75% increase)
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* Tests now cover error handling, malformed inputs, injection attacks, and real-world scenarios
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## Improvements
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* Enhanced schema generation now includes output schemas
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* Better error handling for malformed JSON-RPC requests
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* Improved handling of NULL, NA, and empty values
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* More robust handling of complex nested data structures
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* Added support for functions with req/res parameters
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## Documentation
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* Comprehensive README updates with prompts examples and use cases
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* Added example file demonstrating prompts usage (inst/examples/prompts_example.R)
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* Detailed documentation of prompt message formats
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* Added use cases for workflow guidance, code generation, and domain-specific assistance
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## Bug Fixes
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* Fixed parameter ordering in stdio transport handlers
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* Fixed JSON-RPC error responses for unknown methods
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* Improved type mapping for plumber parameters
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# plumber2mcp 0.2.0
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## New Features
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### Resources Support
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* Added MCP Resources support for exposing R content to AI assistants
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* New `pr_mcp_resource()` function to add custom resources
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* New `pr_mcp_help_resources()` convenience function for R help topics
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* Resources can provide documentation, data summaries, session info, and more
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* Added `resources/list` and `resources/read` handlers
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### Stdio Transport
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* Added native stdio transport support for standard MCP clients
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* New `pr_mcp_stdio()` function for stdio-based servers
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* Compatible with mcp-cli, Claude Desktop, and other MCP clients
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* Handles JSON-RPC over stdin/stdout
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## Improvements
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* Enhanced schema generation with rich descriptions from roxygen comments
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* Automatic detection of required vs optional parameters
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* Improved type inference for function parameters and return values
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* Better handling of empty properties (serialize as object, not array)
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## Documentation
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* Comprehensive README with examples for all transport types
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* Added resources examples and documentation
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* Added MCP Inspector testing instructions
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# plumber2mcp 0.1.0
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## Initial Release
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### Core Features
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* HTTP transport for MCP protocol
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* Automatic endpoint discovery from Plumber APIs
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* JSON-RPC 2.0 protocol implementation
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* Tool schema generation from function signatures
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* Support for include/exclude endpoint filters
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* Customizable server name, version, and mount path
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### MCP Protocol Support
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* `initialize` - Server initialization and capabilities
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* `tools/list` - List available API endpoints as tools
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* `tools/call` - Execute API endpoints through MCP
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* `ping` - Server health check
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### Documentation
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* Basic README with installation and usage
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* Example Plumber API files
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* GitHub Actions CI/CD setup

R/plumber2mcp-package.R

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#' @keywords internal
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"_PACKAGE"
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#' plumber2mcp: Add Model Context Protocol Support to Plumber APIs
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#'
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#' @description
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#' The plumber2mcp package extends Plumber APIs with Model Context Protocol (MCP)
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#' support, enabling AI assistants (like Claude, ChatGPT, etc.) to discover and
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#' interact with your R functions through three key MCP primitives:
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#'
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#' \itemize{
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#' \item \strong{Tools}: AI assistants can call your API endpoints directly
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#' \item \strong{Resources}: AI assistants can read documentation, data, and analysis results
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#' \item \strong{Prompts}: AI assistants can use pre-defined templates to guide interactions
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#' }
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#'
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#' @section Main Functions:
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#'
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#' \strong{Core MCP Setup:}
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#' \itemize{
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#' \item \code{\link{pr_mcp}}: Add MCP support to a Plumber router (main function)
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#' \item \code{\link{pr_mcp_http}}: Add MCP support with HTTP transport
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#' \item \code{\link{pr_mcp_stdio}}: Add MCP support with stdio transport
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#' }
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#'
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#' \strong{Resources:}
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#' \itemize{
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#' \item \code{\link{pr_mcp_resource}}: Add a custom resource
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#' \item \code{\link{pr_mcp_help_resources}}: Add built-in R help resources
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#' }
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#'
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#' \strong{Prompts:}
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#' \itemize{
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#' \item \code{\link{pr_mcp_prompt}}: Add a prompt template
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#' }
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#'
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#' @section Quick Start:
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#'
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#' \strong{HTTP Transport (for testing):}
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#' \preformatted{
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#' library(plumber)
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#' library(plumber2mcp)
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#'
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#' pr("plumber.R") \%>\%
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#' pr_mcp(transport = "http") \%>\%
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#' pr_run(port = 8000)
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#' }
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#'
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#' \strong{Stdio Transport (for MCP clients):}
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#' \preformatted{
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#' library(plumber)
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#' library(plumber2mcp)
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#'
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#' pr("plumber.R") \%>\%
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#' pr_mcp(transport = "stdio")
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#' }
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#'
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#' @section Adding Features:
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#'
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#' \strong{Add a Resource:}
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#' \preformatted{
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#' pr \%>\%
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#' pr_mcp(transport = "stdio") \%>\%
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#' pr_mcp_resource(
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#' uri = "/data/summary",
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#' func = function() summary(mtcars),
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#' name = "Dataset Summary"
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#' )
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#' }
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#'
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#' \strong{Add a Prompt:}
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#' \preformatted{
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#' pr \%>\%
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#' pr_mcp(transport = "stdio") \%>\%
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#' pr_mcp_prompt(
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#' name = "analyze-data",
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#' description = "Guide for data analysis",
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#' arguments = list(
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#' list(name = "dataset", description = "Dataset name", required = TRUE)
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#' ),
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#' func = function(dataset) {
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#' paste("Please analyze the", dataset, "dataset")
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#' }
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#' )
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#' }
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#'
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#' @section MCP Protocol:
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#'
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#' This package implements the Model Context Protocol (MCP) specification version
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#' 2024-11-05. It provides:
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#'
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#' \itemize{
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#' \item \strong{Automatic endpoint discovery}: Scans your Plumber API and converts endpoints to MCP tools
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#' \item \strong{Rich schema generation}: Creates detailed JSON schemas from roxygen documentation
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#' \item \strong{JSON-RPC 2.0}: Handles all MCP communication via JSON-RPC
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#' \item \strong{Multiple transports}: HTTP (for testing) and stdio (for MCP clients)
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#' \item \strong{Enhanced documentation}: Extracts parameter descriptions, types, and defaults
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#' }
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#'
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#' @section Supported MCP Methods:
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#'
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#' \strong{Core Protocol:}
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#' \itemize{
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#' \item \code{initialize}: Server initialization and capability negotiation
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#' \item \code{ping}: Health check
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#' }
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#'
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#' \strong{Tools:}
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#' \itemize{
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#' \item \code{tools/list}: List available API endpoints
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#' \item \code{tools/call}: Execute an API endpoint
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#' }
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#'
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#' \strong{Resources:}
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#' \itemize{
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#' \item \code{resources/list}: List available resources
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#' \item \code{resources/read}: Read a specific resource
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#' \item \code{resources/templates/list}: List resource templates
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#' }
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#'
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#' \strong{Prompts:}
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#' \itemize{
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#' \item \code{prompts/list}: List available prompt templates
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#' \item \code{prompts/get}: Get a specific prompt with arguments
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#' }
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#'
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#' @section Configuration:
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#'
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#' Customize your MCP server with:
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#' \itemize{
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#' \item \code{path}: Custom mount path (default: "/mcp")
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#' \item \code{include_endpoints}: Whitelist specific endpoints
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#' \item \code{exclude_endpoints}: Blacklist specific endpoints
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#' \item \code{server_name}: Custom server name
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#' \item \code{server_version}: Custom server version
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#' \item \code{debug}: Enable debug logging (stdio only)
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#' }
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#'
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#' @section Learn More:
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#'
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#' \itemize{
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#' \item MCP Specification: \url{https://modelcontextprotocol.io}
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#' \item GitHub Repository: \url{https://github.com/armish/plumber2mcp}
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#' \item Plumber Documentation: \url{https://www.rplumber.io}
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#' }
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#'
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#' @examples
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#' \dontrun{
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#' # Basic HTTP server
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#' library(plumber)
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#' library(plumber2mcp)
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#'
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#' pr <- plumber::pr()
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#' pr$handle("GET", "/echo", function(msg = "hello") {
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#' list(message = msg)
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#' })
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#'
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#' pr %>%
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#' pr_mcp(transport = "http") %>%
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#' pr_run(port = 8000)
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#'
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#' # Full-featured stdio server
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#' pr %>%
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#' pr_mcp(transport = "stdio") %>%
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#' pr_mcp_resource(
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#' uri = "/docs/api",
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#' func = function() "API Documentation",
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#' name = "API Docs"
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#' ) %>%
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#' pr_mcp_prompt(
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#' name = "help",
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#' description = "Get help with the API",
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#' func = function() "How can I help you use this API?"
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#' )
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#' }
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#'
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#' @docType package
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#' @name plumber2mcp-package
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NULL

cran-comments.md

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## R CMD check results
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0 errors | 0 warnings | 0 notes
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## Test environments
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* GitHub Actions (ubuntu-latest): R-release, R-devel
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* GitHub Actions (windows-latest): R-release
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* GitHub Actions (macOS-latest): R-release
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* local: R 4.5.2
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## Downstream dependencies
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There are currently no downstream dependencies for this package.
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## Comments
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This is version 0.3.0 of plumber2mcp, which adds comprehensive MCP Prompts support,
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enhanced testing (121 total tests), and improved documentation.
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The package extends Plumber APIs with Model Context Protocol (MCP) support,
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enabling AI assistants to interact with R APIs through tools, resources, and prompts.

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