# Remote MCP Server for Cloudflare

> Use this tool when you need to deploy custom AI models on Cloudflare Workers without authentication, allowing clients to connect to serverless MCP implementations. It solves problems of secure and scalable AI model deployment, enabling seamless integration with clients like Claude Desktop. The tool accepts AI model inputs and outputs API responses, ideal for use cases requiring on-demand AI processing and low-latency deployments.

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

## Description

A serverless MCP (Model Context Protocol) implementation that can be deployed on Cloudflare Workers without authentication, allowing clients like Claude Desktop to connect to custom AI tools.

## 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/iwpjzstu17)
- **Repository:** <https://github.com/ibretsam/pandaw-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": "ibretsam-pandaw-mcp"
    }
  }
}
```

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