# WebLLMRelay

> WebLLMRelay — mbaozi-webllmrelay. Use this tool when you need to integrate AI agents with web-based large language models without requiring API keys or incurring fees. WebLLMRelay enables text conversations and image generation through a unified interface, leveraging existing web logins for seamless access. It solves problems of accessibility and cost for AI agents, providing a convenient and cost-effective solution for various applications.

Canonical page: https://skillsregistry.net/skills/mbaozi-webllmrelay  
JSON: https://api.skillsregistry.net/v1/skills/mbaozi-webllmrelay

## Description

Enables AI agents to access web-based large language models through a unified MCP interface, reusing existing web logins to perform text conversations and image generation without API keys or fees.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e6gd8se0dg)
- **Repository:** <https://github.com/mbaozi/WebLLMRelay>

## 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": "mbaozi-webllmrelay"
    }
  }
}
```

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