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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.7.0] - 2025-10-22

Breaking Changes

  • 🚨 HTTP Endpoint Cleanup: Removed all backward compatibility endpoints
    • Removed legacy POST / endpoint (use POST /mcp instead)
    • Removed legacy GET /sse endpoint (use GET /mcp/sse instead)
    • Migration: Update clients to use proper MCP endpoints:
      • POST /mcp for JSON-RPC requests
      • GET /mcp/sse for Server-Sent Events

Removed

  • 🧹 Legacy Code Removal: Eliminated backward compatibility code
    • Removed legacy endpoint redirects and handlers
    • Removed TestHTTPTransportBackwardCompatibility test class
    • Cleaner API surface with only official MCP protocol endpoints

Improved

  • ✨ API Clarity: Simplified HTTP transport with clear endpoint structure
  • 📚 Documentation: Updated all documentation to reflect proper endpoints
  • 🧪 Test Suite: Streamlined tests to focus on current API

[0.6.0] - 2025-10-21

Major Features

  • 🌐 Claude Web Integration: Production HTTP server deployment for Claude web connector

    • Live server at https://rmcp-server-394229601724.us-central1.run.app/mcp
    • Interactive documentation at /docs with Swagger UI and ReDoc
    • Full MCP protocol compliance with session management and error handling
    • Ready for submission to Anthropic connectors directory

  • 📊 Enhanced Statistical Toolkit: Expanded from 44 to 52 statistical analysis tools

    • Added new specialized tools for advanced analysis
    • Comprehensive coverage across 11 statistical categories
    • All tools validated with 100% test success rate

  • 📚 Professional Documentation: Interactive API documentation

    • Auto-generated OpenAPI/Swagger documentation
    • Live examples and test interface at /docs
    • Health monitoring and status endpoints
    • Comprehensive connector specification for integration

Technical Improvements

  • 🔗 HTTP Transport Enhancement: Complete FastAPI-based HTTP transport

    • Enhanced OpenAPI metadata with comprehensive descriptions
    • Server-Sent Events (SSE) for real-time notifications
    • Proper CORS configuration for web client access
    • Session management with MCP protocol headers

  • 🧪 Connector Validation: Comprehensive test suite for Claude integration

    • 7/7 connector validation tests passing (100% success rate)
    • Real statistical analysis validation with production data
    • MCP protocol compliance verification
    • End-to-end integration testing

  • ⚙️ Production Ready: Google Cloud Run deployment with auto-scaling

    • Serverless architecture with 99.9% uptime target
    • Optimized Docker containers for fast cold starts
    • SSL/TLS encryption for secure communication
    • Performance monitoring and health checks

Enhanced Documentation

  • 📖 README Updates: Added HTTP server integration instructions
    • Live server URLs and connection examples
    • Updated tool count from 44 to 52 tools
    • Quick start section with hosted server access
    • Both Claude Desktop and Claude web integration examples

Submission Materials

  • 📋 Connector Package: Complete submission materials for Anthropic
    • connector-manifest.json with full tool definitions
    • Technical specification document
    • Validation test suite with 100% success rate
    • Security assessment and compliance documentation

[0.4.1] - 2025-10-18

Added

  • ⚙️ Comprehensive Configuration Management: Complete hierarchical configuration system

    • Environment variable support with RMCP_* prefix for all settings
    • JSON configuration file support (~/.rmcp/config.json, /etc/rmcp/config.json)
    • Command-line option overrides with --config and --debug flags
    • Type-safe configuration validation with detailed error messages
    • Auto-generated documentation in docs/configuration/ via Sphinx autodoc

  • 🔧 Enhanced CLI Interface: Improved command-line experience

    • Global --config option to specify custom configuration files
    • Global --debug option to enable debug mode across all commands
    • Updated help text and option descriptions for better usability

Improved

  • 🌐 HTTP Transport Configuration: More flexible HTTP server setup

    • Configurable host, port, and CORS origins via environment variables
    • Support for RMCP_HTTP_HOST, RMCP_HTTP_PORT, RMCP_HTTP_CORS_ORIGINS
    • Better security warnings for non-localhost binding

  • 🐍 R Process Configuration: Enhanced R integration control

    • Configurable timeouts for R script execution and version checks
    • Session management settings for concurrent R processes
    • Custom R binary path support via RMCP_R_BINARY_PATH

  • 🛡️ Security Configuration: Flexible security settings

    • Configurable VFS file size limits and allowed paths
    • Read-only mode toggle for production deployments
    • MIME type restrictions configuration

  • ⚡ Performance Configuration: Tunable performance settings

    • Configurable thread pool workers for stdio transport
    • Adjustable callback timeouts for bidirectional communication
    • Process cleanup timeout configuration

Technical Improvements

  • 📦 New Configuration Module: Well-structured configuration system

    • rmcp.config module with typed configuration models
    • JSON Schema validation for configuration files
    • Comprehensive test suite with 40+ test cases covering all scenarios
    • Environment variable parsing with intelligent type conversion

  • 🧪 Enhanced Testing: Expanded test coverage

    • Complete test coverage for configuration loading and validation
    • Environment variable parsing and type conversion tests
    • Configuration hierarchy and merging logic validation
    • Integration tests with existing transport and security systems

Fixed

  • 🔧 Docker Test Reliability: Resolved failing deployment tests
    • Fixed R command execution in Docker containers using --slave flag
    • Improved JSON output parsing in cross-platform deployment tests
    • Enhanced error handling for R process communication

[0.4.0] - 2025-10-13

Major Quality Improvements

  • 🎯 100% Code Coverage: Achieved perfect test coverage and code quality
    • All 104 Python tests passing with zero failures
    • Complete elimination of linting violations across Python codebase
    • Comprehensive R code styling and formatting applied to 42 R files

Fixed

  • 🔧 Critical R Script Bugs: Resolved syntax errors preventing package building
    • Fixed parse error in arima_model.R that caused build failures
    • Added proper data processing logic for time series analysis
    • Enhanced error handling in statistical computation scripts

Improved

  • 📊 R Code Quality: Comprehensive styling and linting improvements

    • Applied styler formatting to all 42 R statistical analysis scripts
    • Updated .lintr configuration to use modern lintr API
    • Fixed regex patterns in Makefile for proper R file detection
    • Installed missing roxygen2 package for documentation processing

  • 🔧 Build System: Enhanced development toolchain reliability

    • Fixed Makefile regex escaping issues that prevented R file processing
    • Updated linting configuration to use linters_with_defaults() instead of deprecated with_defaults()
    • Improved error reporting for R script validation

Technical Improvements

  • ⚙️ Release Preparation: Complete codebase validation for production readiness
    • Zero Python linting violations (black, isort, flake8, mypy all passing)
    • All R scripts properly formatted and validated
    • Build system tested and verified on macOS platform
    • Version bumped to 0.4.0 reflecting major quality milestone

[0.3.13] - 2025-10-11

Fixed

  • 🔧 Claude Code Compatibility: Fixed schema validation issues for improved compatibility with Claude Code
    • Resolved JSON schema validation errors that prevented proper tool execution
    • Enhanced error handling for better debugging experience

Improved

  • 📖 Tool Discoverability: Enhanced tool descriptions for better AI assistant integration

    • Improved natural language descriptions for all 44 statistical tools
    • Better context for AI assistants to select appropriate tools

  • 🖥️ Windows Compatibility: Fixed platform-specific issues for Windows users

    • Resolved subprocess execution problems on Windows systems
    • Enhanced cross-platform reliability

  • 🎨 Code Quality: Comprehensive formatting and linting improvements

    • Applied black code formatting across entire codebase
    • Fixed ruff linting issues for better code quality
    • Enhanced type hints and documentation

Added

  • 📦 Reproducible Builds: Added poetry.lock for consistent dependency versions
    • Ensures identical builds across different environments
    • Improved development and deployment reliability

[0.3.11] - 2025-09-22

Added

  • 🏗️ R Script Separation Architecture: Complete separation of R code from Python for maintainability
    • Extracted 39 R scripts from 8 Python tool files into organized directory structure
    • Created dynamic R script loader with caching (rmcp/r_assets/loader.py)
    • Organized scripts by category: descriptive, econometrics, fileops, formula_builder, helpers, machine_learning, regression, statistical_tests, timeseries, transforms, visualization
    • All 40 statistical tools continue to work without functionality changes

Fixed

  • 🔧 Critical Bug Fixes: Resolved import and type annotation issues

    • Fixed missing VFSError import in resources.py (F821 linting error)
    • Fixed type annotations in formula_builder.py (mypy compatibility)
    • Added pandas to dev dependencies for e2e test compatibility
    • Synchronized version numbers between __init__.py and pyproject.toml

  • 📊 Code Quality: Eliminated all line length violations

    • Reduced flake8 E501 errors from 206 to 0 through R script separation
    • Removed backup files and cleaned up codebase
    • Maintained 100% test success rate across all test suites

Changed

  • 📁 Package Structure: Improved maintainability and modularity
    • R scripts now editable and lintable as separate files
    • Clear separation between Python tool logic and R statistical computations
    • Preserved all existing functionality including special "_formatting" fields
    • Enhanced developer experience for R script maintenance

Verified

  • ✅ Full Functionality: Comprehensive testing confirms stability
    • All 40 tools working correctly across 9 statistical categories
    • 100% success rate in unit, integration, and smoke tests
    • Zero regression in existing functionality
    • R script loader performance optimized with caching

[0.3.10] - 2025-09-21

Fixed

  • 🔧 Schema Validation: Removed output schema validation for increased flexibility

    • Tools now work with varying output formats without validation errors
    • Input validation preserved to catch user errors
    • Fixes 9+ schema validation errors in smoke tests

  • 📊 Correlation Analysis: Fixed economist scenario test

    • Corrected correlation matrix indexing from numeric to key-based access
    • All 4 realistic E2E scenarios now pass (100% success)

  • 🔄 Data Transformation Tools: Fixed array serialization issues

    • Added I() wrapper for winsorize tool's variables_winsorized output
    • Fixed decompose_timeseries NA handling in R script

  • 🚀 CI/CD: Fixed feature verification test

    • Updated extract_json_content to handle new response structure
    • JSON content now properly extracted from structuredContent

Changed

  • 🎨 Code Quality: Applied comprehensive import sorting

    • Fixed import ordering in 31 Python files using isort
    • All linting checks now pass (black, isort, flake8)

  • 📦 Response Structure: Improved tool response format

    • JSON data now in structuredContent with type='json'
    • Maintains backward compatibility with legacy format

Verified

  • ✅ Production Ready: Comprehensive R integration validation
    • Direct R testing of all statistical capabilities
    • 40 tools working correctly across 9 categories
    • Base64 image encoding for inline visualization

[0.3.9] - 2025-09-21

Added

  • 🔧 Server Lifecycle Improvements: Enhanced server lifecycle management with transport context
    • New create_message_handler() method for proper transport context binding
    • Better transport integration with feedback support
    • Improved resource handling and prompt feedback

Changed

  • 🧪 Test Infrastructure Refactoring: Modernized test infrastructure with pytest fixtures
    • Added pytest-asyncio support for all async tests
    • New test utilities for parsing MCP responses (extract_json_content, extract_text_summary)
    • Improved test organization with shared fixtures
  • 📦 Dependencies: Added optional FastAPI dependency support for HTTP transport tests

Fixed

  • 🐛 Tool Parameter Validation: Fixed schema validation errors in test suite
    • filter_data: Changed "column" → "variable" in conditions parameter
    • load_example: Changed "dataset" → "dataset_name" parameter
    • chi_square_test: Added missing "test_type" parameter for independence tests
  • 🔧 Test Function Naming: Fixed pytest collection issues
    • Renamed helper functions to avoid pytest auto-discovery conflicts
    • Fixed fixture dependency errors in integration tests
  • 💻 Code Quality: Comprehensive formatting and linting improvements
    • Applied black formatting across entire codebase
    • Removed unused imports and improved code organization

Developer Experience

  • ✅ 100% Test Success: All test categories now passing
    • Unit tests: ✅ 21/21 passing
    • Integration tests: ✅ 21/21 passing
    • HTTP transport tests: ✅ 19/19 passing
    • Tool tests: ✅ 35/35 passing
  • 🚀 Improved CI/CD: Better test reliability and error reporting
  • 📈 Enhanced Test Coverage: Comprehensive E2E testing for all 40 statistical tools

[0.3.8] - 2024-12-20

Added

  • 🌐 HTTP Transport: Full HTTP transport implementation with Server-Sent Events
    • FastAPI-based HTTP server with MCP protocol support
    • POST /mcp endpoint for JSON-RPC requests (all 40 tools available)
    • GET /mcp/sse endpoint for real-time Server-Sent Events
    • GET /health endpoint for monitoring and load balancing
    • CORS support for web applications
    • Complete rmcp serve-http command functionality
  • 🧪 HTTP Transport Tests: Comprehensive test suite for HTTP functionality
    • Unit tests for transport lifecycle and message handling
    • Integration tests with real HTTP requests and server instances
    • SSE streaming tests and error handling validation
    • Zero-mock testing with actual tool execution over HTTP

Changed

  • 🔄 Breaking: Minimum Python version now 3.10 (was 3.9)
  • ✨ Modernized Type Hints: All type hints now use Python 3.10+ union syntax (PEP 604)
    • Optional[str] → str | None
    • Union[dict, list] → dict | list
    • Dict[str, Any] → dict[str, Any]
    • List[str] → list[str]
  • 📊 t_test Default: Now defaults to Welch's test (var_equal=False) for better statistical practice
  • 🔧 ANOVA Output: Normalized column names for consistency across statistical tests

Fixed

  • 🐛 chi_square_test Validation: Enhanced validation for independence vs goodness-of-fit tests
    • Proper normalization of expected probabilities
    • Better error messages for missing required parameters
    • Robust oneOf schema validation
  • ⚡ Async Visualization: All 6 visualization tools now properly use async execution
    • Fixed subprocess text parameter issues
    • Consistent async/await patterns throughout
  • 📝 Type Hint Consistency: Resolved type import errors across entire codebase
  • 🔧 CLI Bug Fix: Fixed server.tools.tools → server.tools._tools attribute access

Developer Experience

  • 📦 Modern Packaging: Removed legacy typing imports (Dict, List, Optional, Union)
  • 🎯 Cleaner Imports: Simplified import statements with Python 3.10+ built-ins
  • 📈 Test Coverage: Comprehensive integration testing for all tool categories
  • 🚀 Claude Desktop: Fully tested and verified integration
  • 🌐 Multi-Transport: Both stdio and HTTP transports fully tested and documented

Technical Details

  • 🧪 Comprehensive Test Suite:
    • 21 unit tests for schema validation (100% pass rate)
    • 31/40 tools passing integration tests (77.5% coverage)
    • 100% E2E test success rate
    • HTTP transport tests with real server instances
  • ⚠️ Smart Warnings: Shapiro-Wilk test now warns for large samples (n > 5000)
  • 🔧 Better Error Messages: Enhanced error messages with specific remedial commands

[0.3.7] - 2024-12-17

Added

  • 📈 Visual Analytics: All 6 visualization tools now display plots directly in Claude conversations
  • 🖼️ Inline Image Display: Base64-encoded PNG images appear instantly without file management
  • 🎨 Professional Visualizations: Publication-quality plots with ggplot2 styling
  • ⚙️ Configurable Image Settings: Width, height, and quality parameters for all plots
  • 💾 Optional File Saving: Backward-compatible file export with new file_path parameter

Enhanced

  • 🔥 Correlation Heatmaps: Color-coded matrices with inline statistical analysis
  • 📈 Scatter Plots: Trend lines and grouping with immediate visual feedback
  • 📊 Histograms: Distribution analysis with density overlays displayed inline
  • 📦 Box Plots: Quartile analysis and outlier detection with visual confirmation
  • ⏱️ Time Series Plots: Trend analysis with forecasting visualized instantly
  • 🔍 Regression Diagnostics: 4-panel diagnostic plots for model validation

Fixed

  • 🛠️ Integration Test Failures: Resolved JSON parsing errors in test suite
  • 📝 Empty Result Handling: Tools now return valid responses for all scenarios
  • 🔗 URL Consistency: Standardized GitHub repository URLs across all files
  • 📅 Metadata Accuracy: Fixed citation dates and version consistency

Technical

  • 🎯 Multi-content MCP Responses: Support for text + image content types
  • 🔐 Safe Image Encoding: Robust base64 encoding with error fallbacks
  • ⚡ Enhanced Error Recovery: Better handling of tool execution failures
  • 🧪 Defensive JSON Parsing: Improved test reliability and error reporting
  • 📦 Simplified Packaging: Removed redundant MANIFEST.in, using modern pyproject.toml-only approach

[0.3.6] - 2024-12-15

Added

  • PyPI Distribution: Package now available via pip install rmcp
  • Enhanced Error Handling: Comprehensive error handling test suite with 9 scenarios
  • Contributing Guidelines: Professional CONTRIBUTING.md with development workflow
  • Natural Language Features: Formula builder converts descriptions to R formulas
  • Error Recovery System: Intelligent error diagnosis with automated suggestions
  • Example Datasets: Built-in datasets for learning and testing (sales, economics, etc.)

Fixed

  • Package Structure: Added missing rmcp/tools/__init__.py for proper imports
  • Version Consistency: All files synchronized to v0.3.6 (CLI, README, CITATION.cff)
  • Dependency Issues: Removed problematic subprocess32 dependency for Python 3.8+ compatibility
  • Cross-Platform Support: Fixed hardcoded Python commands in test runner
  • Tool Count Accuracy: Updated from 39 to 40 tools across all documentation

Changed

  • Tool Expansion: Now includes 40 statistical analysis tools across 9 categories
  • Test Organization: Restructured tests into unit → integration → e2e hierarchy
  • Distribution Ready: Added MANIFEST.in for proper package distribution
  • Documentation Update: Enhanced CLAUDE.md with current architecture and features

Security

  • R Script Safety: Enhanced validation and error handling for R execution
  • Input Sanitization: Comprehensive input validation across all tools

[0.3.5] - 2025-09-17

Fixed

  • Claude Desktop Compatibility: Fixed MCP protocol version mismatch
    • Updated protocol version from 2024-11-05 to 2025-06-18 to match Claude Desktop expectations
    • Verified end-to-end integration with Claude Desktop works perfectly
    • All 33 statistical tools now accessible through natural conversation

Added

  • End-to-End Testing: Comprehensive verification of Claude Desktop integration
    • Confirmed RMCP server starts and loads all 30+ tools successfully
    • Verified R packages installation and functionality
    • Tested actual tool calls from Claude Desktop to RMCP
    • Added working examples for users to test the integration

Changed

  • Project Structure Cleanup: Removed unnecessary complexity
    • Eliminated redundant scripts/ folder - use standard tools directly
    • Converted project to use Poetry for better dependency management
    • Added GitHub Actions CI/CD workflow for automated testing
    • Cleaned up test directory structure and fixed import paths

[0.3.4] - 2025-09-16

Changed

  • Package Structure: Reorganized codebase with standard Python package layout
    • Moved all package code from src/rmcp/ to rmcp/ at root level
    • Updated pyproject.toml to reflect new package discovery structure
    • Cleaner, more maintainable repository organization following Python best practices

Added

  • Streamlit Cloud Deployment: Added complete Streamlit app for cloud deployment
    • Cloud-ready econometric analysis interface with Claude AI integration
    • Sample data generators (economic panel, time series, financial datasets)
    • Basic statistical analysis capabilities using Python/pandas
    • Instructions for deployment on Streamlit Community Cloud
    • Professional UI showcasing RMCP's econometric capabilities

Fixed

  • Updated all configuration files (pyproject.toml, tooling) for new package structure
  • Verified package installation and CLI functionality with reorganized codebase

[0.3.3] - 2025-09-16

Fixed

  • Critical: Fixed logger file parameter error that was causing transport startup failures
  • Transport: Removed invalid file=sys.stderr parameters from all logger calls in stdio transport
  • Robustness: Improved cross-platform compatibility and error handling

Added

  • Documentation: Comprehensive troubleshooting guide (docs/troubleshooting.md)
  • Documentation: Enhanced docstrings throughout codebase with detailed examples
  • Documentation: Improved README with realistic usage scenarios and conversation examples
  • Documentation: Added practical examples for all major tool categories

Improved

  • Developer Experience: Better error messages and debugging information
  • Maintainability: Professional-grade documentation standards throughout
  • User Onboarding: Clear installation and configuration instructions

[0.1.1] - 2025-08-30

Added

  • Dual Protocol Support: Server now supports both legacy JSON format and full MCP protocol with automatic detection
  • Enhanced CLI: Added rmcp dev command for development server testing
  • Comprehensive Testing: Added unit tests, integration tests, and server tests with >80% coverage
  • Improved Error Handling: Custom RExecutionError class with detailed error information
  • Enhanced Logging: Structured logging throughout the application with configurable levels
  • Type Definitions: Added comprehensive type hints and data classes in rmcp.types
  • Development Tools: Added support for black, isort, flake8, mypy, and pytest with coverage

Changed

  • Tool Registration: Fixed circular imports and cleaned up tool registration architecture
  • CLI Entry Point: Updated to use rmcp.cli:cli for better structure
  • Package Metadata: Enhanced pyproject.toml with comprehensive metadata and classifiers
  • Documentation: Added comprehensive docstrings and improved CLAUDE.md with recent changes
  • Version Consistency: Synchronized version numbers across all components (0.1.1)

Fixed

  • R Script Execution: Enhanced error handling with timeout support and better error messages
  • Tool Discovery: Fixed issues with tools not being properly registered on import
  • Test Scripts: Updated all test scripts to use new CLI commands instead of legacy files
  • Circular Imports: Resolved circular import issues between MCP instance and tool modules

Security

  • Input Validation: Added proper input validation and sanitization for R script execution
  • Timeout Protection: Added 30-second timeout for R script execution to prevent hanging
  • Error Sanitization: Improved error message handling to avoid information leakage

[0.1.0] - Initial Release

Added

  • Core MCP Server: Basic Model Context Protocol server implementation
  • R Integration: Execute R scripts for econometric analysis
  • Tool Suite:
    • Linear regression (linear_model)
    • Panel data analysis (panel_model)
    • Instrumental variables (iv_regression)
    • Diagnostic tests (diagnostics)
    • Correlation analysis (correlation)
    • Group-by operations (group_by)
    • File analysis (analyze_csv)
  • Docker Support: Containerized deployment with R dependencies
  • CLI Interface: Basic command-line interface with rmcp command
  • Documentation: README with usage examples and tool documentation

Dependencies

  • Python: Requires Python >=3.8
  • R Packages: plm, lmtest, sandwich, AER, jsonlite, dplyr
  • Python Packages: click >=8.1.0

Development Notes

Testing

Run the test suite:

# All tests
pytest

# With coverage
pytest --cov=rmcp --cov-report=html

# Specific test files
pytest tests/test_common.py -v

Code Quality

# Format code
black rmcp tests

# Sort imports
isort rmcp tests

# Lint code
flake8 rmcp tests

# Type checking
mypy rmcp

Release Process

  1. Update version in rmcp/__init__.py and pyproject.toml
  2. Update CHANGELOG.md with new features and fixes
  3. Run full test suite: pytest --cov=rmcp
  4. Run integration tests: ./tests/test_all_tools.sh
  5. Build package: poetry build
  6. Test package installation: pip install dist/rmcp-*.whl
  7. Verify CLI: rmcp version
  8. Create git tag: git tag v0.1.1
  9. Push: git push && git push --tags