# AI Optimizer MCP

> Use this tool when you need to optimize and test AI code efficiently, as it solves problems related to code improvement and objective management across various environments. The AI Optimizer MCP takes in AI code and testing objectives as inputs and outputs optimized code improvements and test results through its integration with VSCode, CLI tools, and autonomous agents. It is ideal for use cases where automated code refinement and multi-environment testing are required.

Canonical page: https://skillsregistry.net/skills/barackndenga-ai-task-optimizer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/barackndenga-ai-task-optimizer-mcp

## Description

A multi-task MCP server for AI code optimization and testing that integrates with VSCode/Cursor, CLI tools, and autonomous agents. It provides tools for running tests, generating code improvements, and managing objectives across different environments.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zson29zjm9)
- **Repository:** <https://github.com/BarackNdenga/AI-Task-Optimizer-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": "barackndenga-ai-task-optimizer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/barackndenga-ai-task-optimizer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/barackndenga-ai-task-optimizer-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
