Pharo Smalltalk Interop MCP Server

@mumez

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

mumez

提交者

Masashi Umezawa

关于 Pharo Smalltalk Interop MCP Server

MCP server to communicate local Pharo Smalltalk image.

#smalltalk#pharo

Pharo Smalltalk Interop MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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"
      }
    }
  }
}

Pharo Smalltalk Interop MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Pharo Smalltalk Interop Mcp Server?

A local MCP server that communicates with a Pharo Smalltalk image, providing code evaluation, introspection, search, package management, project installation, test execution, UI debugging, and server configuration. It is intended for developers working with Pharo Smalltalk.

How to use Pharo Smalltalk Interop Mcp Server?

Requires Python 3.10+, uv package manager, and a Pharo image with PharoSmalltalkInteropServer installed. Run using uvx (no installation) or after cloning the repository using uv run. Configure with environment variable PHARO_SIS_PORT (default 8086). The server exposes 22 MCP tools.

Key features of Pharo Smalltalk Interop Mcp Server

Execute Smalltalk expressions and return results
Retrieve class and method source code and comments
Search classes, methods, traits, implementors, and references
Export and import packages in Tonel format
Install projects via Metacello
Run test suites at package or class level
Capture screenshots and inspect UI structure for debugging
Retrieve and modify server settings dynamically

Use cases of Pharo Smalltalk Interop Mcp Server

Debug and inspect a live Pharo image from an MCP-compatible client
Automate package export/import and project installation in CI/CD pipelines
Search for method implementors and references during refactoring
Run tests and view results without leaving the development environment
Assist AI‑powered coding assistants to interact with Pharo code

常见问题

What are the prerequisites?

Python 3.10 or later, uv package manager, and a Pharo image with PharoSmalltalkInteropServer installed.

How do I configure the server port?

Set the `PHARO_SIS_PORT` environment variable (default 8086).

Does the server work without a live Pharo instance?

No, a running Pharo image with PharoSmalltalkInteropServer is required. Tests use mocking to avoid this dependency.

What transports or authentication are supported?

The README only describes local execution via stdio (MCP default). No authentication or alternative transports are mentioned.

Can I add custom settings beyond the documented ones?

Yes, the `apply_settings` tool accepts arbitrary key‑value pairs; the documented setting is `stackSize` (default 100).

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