# Scrapi MCP Server

> Use this tool when you need to convert URLs into clean, readable Markdown or text formats for large language models (LLMs) to process. It solves the problem of messy web data by extracting relevant information and presenting it in a structured way, making it easier for LLMs to understand and generate accurate responses. The Scrapi MCP Server takes URLs as input and outputs cleaned Markdown or text, ideal for use cases where web data needs to be preprocessed for AI agents.

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

## Description

MCP server that converts URLs to clean Markdown/Text for LLM agents.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j4kh050lj2)
- **Repository:** <https://github.com/bamchi/scrapi-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": "bamchi-scrapi-mcp-server"
    }
  }
}
```

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