# neurodev-mcp

> Use this tool when you need to automate code review, testing, and formatting for Python development, as it provides a smart Model Context Protocol server that integrates with AI assistants to generate high-quality unit tests and ensure code coverage. It solves problems such as manual code review, test creation, and code formatting, streamlining the development process. It takes in Python code as input and outputs reviewed, tested, and formatted code, making it ideal for use in software development projects where efficiency and quality are crucial.

Canonical page: https://skillsregistry.net/skills/ravikant1918-neurodev-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ravikant1918-neurodev-mcp

## Description

NeuroDev MCP is a smart Model Context Protocol server for Python development. It performs deep code review, generates high-quality unit tests, runs test suites with coverage, and formats code automatically — all through an AI assistant like Claude or Cline.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t2zdtih5d1)
- **Repository:** <https://github.com/ravikant1918/neurodev-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": "ravikant1918-neurodev-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ravikant1918-neurodev-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ravikant1918-neurodev-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