# WebMCP

> Use this tool when you need to integrate client-side Large Language Models (LLMs) with web services, enabling users to interact with websites using their preferred models without requiring API keys. WebMCP solves the problem of limited model accessibility and API key management, allowing for seamless sharing of tools and resources. It provides a framework for websites to interface with LLMs, accepting user inputs and returning model-generated outputs.

Canonical page: https://skillsregistry.net/skills/jasonjmcghee-webmcp  
JSON: https://api.skillsregistry.net/v1/skills/jasonjmcghee-webmcp

## Description

A framework that enables websites to share tools, resources, and prompts with client-side LLMs without requiring API keys, allowing users to interact with web services using their preferred models.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-10

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dj73osxj1v)
- **Repository:** <https://github.com/jasonjmcghee/WebMCP>

## 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": "jasonjmcghee-webmcp"
    }
  }
}
```

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