pharo-smalltalk-interop-mcp-server
MCP server to communicate local Pharo Smalltalk image
README
pharo-smalltalk-interop-mcp-server
A local MCP server to communicate local Pharo Smalltalk image. It supports:
- Code Evaluation: Execute Smalltalk expressions and return results
- Code Introspection: Retrieve source code, comments, and metadata for classes and methods
- Search & Discovery: Find classes, traits, methods, references, and implementors
- Package Management: Export and import packages in Tonel format
- Project Installation: Install projects using Metacello
- Test Execution: Run test suites at package or class level
- UI Debugging: Capture screenshots and inspect UI structure for World morphs, Spec presenters, and Roassal visualizations
- Server Configuration: Retrieve and modify server settings dynamically
Prerequisites
- Python 3.10 or later
- uv package manager
- Pharo with PharoSmalltalkInteropServer installed
Installation
Quick Start (using uvx)
The easiest way to run the server without cloning the repository:
uvx --from git+https://github.com/mumez/pharo-smalltalk-interop-mcp-server.git pharo-smalltalk-interop-mcp-server
Development Installation
To set up for development:
- Clone the repository:
git clone https://github.com/mumez/pharo-smalltalk-interop-mcp-server.git
- Install dependencies using uv:
cd pharo-smalltalk-interop-mcp-server
uv sync --dev
Usage
Running the MCP Server
Using uvx (no installation required):
uvx --from git+https://github.com/mumez/pharo-smalltalk-interop-mcp-server.git pharo-smalltalk-interop-mcp-server
Using uv (after cloning the repository):
uv run pharo-smalltalk-interop-mcp-server
Environment Variables
You can configure the server using environment variables:
PHARO_SIS_PORT: Port number for PharoSmalltalkInteropServer (default: 8086)
Examples:
Using uvx:
PHARO_SIS_PORT=8086 uvx --from git+https://github.com/mumez/pharo-smalltalk-interop-mcp-server.git pharo-smalltalk-interop-mcp-server
Using uv:
PHARO_SIS_PORT=9999 uv run pharo-smalltalk-interop-mcp-server
Cursor MCP settings
Using uvx (recommended):
{
"mcpServers": {
"smalltalk-interop": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/mumez/pharo-smalltalk-interop-mcp-server.git",
"pharo-smalltalk-interop-mcp-server"
],
"env": {
"PHARO_SIS_PORT": "8086"
}
}
}
}
Using uv (after cloning):
{
"mcpServers": {
"smalltalk-interop": {
"command": "uv",
"args": [
"--directory",
"/your-path/to/pharo-smalltalk-interop-mcp-server",
"run",
"pharo-smalltalk-interop-mcp-server"
],
"env": {
"PHARO_SIS_PORT": "8086"
}
}
}
}
Note: The env section is optional and can be used to set environment variables for the MCP server.
Claude Code Configuration
Using uvx (recommended):
claude mcp add -s user smalltalk-interop -- uvx --from git+https://github.com/mumez/pharo-smalltalk-interop-mcp-server.git pharo-smalltalk-interop-mcp-server
Using uv (after cloning):
claude mcp add -s user smalltalk-interop -- uv --directory /path/to/pharo-smalltalk-interop-mcp-server run pharo-smalltalk-interop-mcp-server
MCP Tools Available
This server provides 22 MCP tools that map to all PharoSmalltalkInteropServer APIs:
Code Evaluation
eval: Execute Smalltalk expressions and return results
Code Introspection
get_class_source: Retrieve source code of a classget_method_source: Retrieve source code of a specific methodget_class_comment: Retrieve comment/documentation of a class
Search & Discovery
search_classes_like: Find classes matching a patternsearch_methods_like: Find methods matching a patternsearch_traits_like: Find traits matching a patternsearch_implementors: Find all implementors of a method selectorsearch_references: Find all references to a method selectorsearch_references_to_class: Find all references to a class
Package Management
list_packages: List all packages in the imagelist_classes: List classes in a specific packagelist_extended_classes: List extended classes in a packagelist_methods: List methods in a packageexport_package: Export a package in Tonel formatimport_package: Import a package from specified path
Project Installation
install_project: Install a project using Metacello with optional load groups
Test Execution
run_package_test: Run test suites for a packagerun_class_test: Run test suites for a specific class
UI Debugging
read_screen: UI screen reader for debugging Pharo interfaces with screenshot and structure extraction
Server Configuration
get_settings: Retrieve current server configurationapply_settings: Modify server configuration dynamically
read_screen Tool
The read_screen tool captures screenshots and extracts UI structure for debugging Pharo UI issues.
Parameters:
target_type(string, default: 'world'): UI type to inspect ('world' for morphs, 'spec' for windows, 'roassal' for visualizations)capture_screenshot(boolean, default: true): Include PNG screenshot in response
Returns: UI structure with screenshot and human-readable summary
Usage Examples:
# Inspect all morphs in World
read_screen(target_type='world')
# Inspect Spec presenter windows
read_screen(target_type='spec', capture_screenshot=false)
# Inspect Roassal visualizations without screenshot (faster)
read_screen(target_type='roassal', capture_screenshot=false)
Extracted Data Includes:
World (morphs):
- Class name and type identification
- Bounds (x, y, width, height coordinates)
- Visibility state
- Background color
- Owner class
- Submorph count
- Text content (if available)
Example output:
{
"totalMorphs": 12,
"displayedMorphCount": 1,
"morphs": [
{
"class": "MenubarMorph",
"visible": true,
"bounds": {"x": 0, "y": 0, "width": 976, "height": 18},
"backgroundColor": "(Color r: 0.883... alpha: 0.8)",
"owner": "WorldMorph",
"submorphCount": 8
}
]
}
Spec (presenters):
- Window title and class name
- Geometry (extent, position)
- Window state (maximized, minimized, resizable)
- Decorations (menu, toolbar, statusbar presence)
- Presenter hierarchy (recursive with max depth of 3 levels)
- Presenter class name, child count, and content properties (label, text, value, etc.)
- Enablement and visibility state
Example output:
{
"windowCount": 1,
"presenters": [
{
"class": "SpWindowPresenter",
"title": "Welcome",
"extent": "(700@550)",
"hasMenu": false,
"presenter": {
"class": "StWelcomeBrowser",
"childCount": 2,
"isVisible": true,
"children": []
}
}
]
}
Roassal (visualizations):
- Canvas bounds and visibility state
- Canvas class identification
- Background color and zoom level
- Shape details (color, position, extent, label, text)
- Edge details (source, target, color, label)
- Node and edge counts
Example output:
{
"canvasCount": 1,
"canvases": [
{
"class": "RSAthensMorph",
"canvasClass": "RSCanvas",
"bounds": {"x": 203, "y": 145, "width": 490, "height": 467},
"backgroundColor": "Color blue",
"zoomLevel": "1.0",
"shapeCount": 5,
"shapes": [
{
"class": "RSCircle",
"color": "(Color r: 1.0 g: 0.0 b: 0.0 alpha: 0.2)",
"position": "(0.0@0.0)",
"extent": "(5.0@5.0)"
}
],
"edgeCount": 0,
"edges": [],
"nodeCount": 0
}
]
}
Server Configuration Tools
The get_settings and apply_settings tools provide dynamic server configuration management.
get_settings
Retrieve the current server configuration.
Parameters: None
Returns: Dictionary containing current server settings
Usage Example:
# Get current settings
get_settings()
# Returns: {"stackSize": 100, "customKey": "customValue"}
Response Format:
{
"success": true,
"result": {
"stackSize": 100,
"customKey": "customValue"
}
}
apply_settings
Modify server configuration dynamically. Settings take effect immediately during the current session.
Parameters:
settings(dict): Dictionary containing settings to modify
Returns: Success confirmation message
Usage Example:
# Apply new settings
apply_settings(settings={"stackSize": 200, "customKey": "customValue"})
# Returns: "Settings applied successfully"
Common Settings:
| Setting | Type | Default | Description |
|---|---|---|---|
stackSize |
integer | 100 | Maximum stack trace depth for error reporting |
Note: The server accepts arbitrary key-value pairs beyond documented settings, allowing custom configuration options.
Development
Running Tests
The project includes comprehensive unit tests with mock-based testing to avoid requiring a live Pharo instance:
# Run all tests
uv run pytest
# Run tests with verbose output
uv run pytest -v
# Run specific test file
uv run pytest tests/test_core.py -v
Code Quality
# Run linting
uv run ruff check
# Run formatting
uv run ruff format
# Run all pre-commit hooks
uv run pre-commit run --all-files
Project Structure
pharo-smalltalk-interop-mcp-server/
├── pharo_smalltalk_interop_mcp_server/
│ ├── __init__.py
│ ├── core.py # HTTP client and core functions
│ └── server.py # FastMCP server with tool definitions
├── tests/
│ ├── __init__.py
│ ├── test_core.py # Tests for core HTTP client functionality
│ └── test_server.py # Tests for MCP server integration
├── pyproject.toml # Project configuration
├── pytest.ini # Test configuration
└── README.md
Testing Strategy
The test suite uses mock-based testing to ensure:
- No external dependencies: Tests run without requiring a live Pharo instance
- Comprehensive coverage: All 22 endpoints and error scenarios are tested
- Fast execution: Tests complete in under 1 second
- Reliable results: Tests are deterministic and don't depend on external state
Test coverage includes:
- HTTP client functionality (
PharoClientclass) - All 22 Pharo interop operations
- Error handling (connection errors, HTTP errors, JSON parsing errors)
- MCP server initialization and tool registration
- Integration between core functions and MCP tools
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