# Remote MCP Server on Cloudflare

> Use this tool when you need to deploy custom AI models and connect them to clients without authentication. It solves problems of model deployment and integration, enabling users to create and manage AI tools on Cloudflare Workers. The Remote MCP Server accepts model inputs and outputs AI results, ideal for use cases like building custom AI applications and testing AI models on Cloudflare.

Canonical page: https://skillsregistry.net/skills/sargioboys51-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sargioboys51-mcp

## Description

A deployable Model Context Protocol server that runs on Cloudflare Workers without requiring authentication, allowing users to create custom AI tools and connect them to clients like Claude Desktop and Cloudflare AI Playground.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sani0232hu)
- **Repository:** <https://github.com/sargioboys51/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": "sargioboys51-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sargioboys51-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sargioboys51-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