# Pharo

> Use this tool when you need to interact with a Pharo Smalltalk environment, execute code, and inspect objects. It solves problems related to automating development tasks, testing, and debugging in Pharo, providing a programmable interface to the environment. It accepts code inputs and returns object inspections and execution results, ideal for use cases requiring dynamic interaction with a Smalltalk workspace.

Canonical page: https://skillsregistry.net/skills/pharo-evref-bl  
JSON: https://api.skillsregistry.net/v1/skills/pharo-evref-bl

## Description

Provides MCP-based access to a running Pharo Smalltalk environment, allowing AI assistants to execute code, inspect objects, and manage the development workspace. Actively maintained with regular commits, making it one of the few Smalltalk-native MCP server implementations available.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pharo-evref-bl)
- **Repository:** <https://github.com/evref-bl/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pharo-evref-bl"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pharo-evref-bl` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pharo-evref-bl/pull`

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