# Quack MCP Server

> Use this tool when you need to automate code analysis and testing for Python projects, solving problems such as code quality issues and bugs through continuous integration. It takes in Python code as input and outputs detailed reports on linting and static type analysis, helping developers identify and fix errors. Ideal for use in software development workflows where code reliability and maintainability are crucial.

Canonical page: https://skillsregistry.net/skills/nidhisharma18-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/nidhisharma18-mcp-server

## Description

A continuous integration server that automates code analysis and testing for Python code, providing tools for linting and static type analysis.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r1c7e5by8h)
- **Repository:** <https://github.com/nidhisharma18/MCP_server>

## 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": "nidhisharma18-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nidhisharma18-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nidhisharma18-mcp-server/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