# mcp-ragchat

> Use this tool when you need to integrate AI-powered chat functionality into a website, leveraging local content and vector stores to generate embeddable chat widgets. It solves the problem of complex chat server setup by simplifying the process with support for various large language models (LLM) and embedding providers. Ideal for use cases where local content crawling and customized chat integration are required, with inputs including website content and LLM providers, and outputs being embeddable chat widgets.

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

## Description

An MCP server that enables RAG-powered AI chat integration for websites by crawling content, building local vector stores, and generating embeddable chat widgets. It simplifies the setup of local chat servers with support for various LLM and embedding providers.

## 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:** browser-automation
- **Updated:** 2026-04-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/du4s0vh38a)
- **Repository:** <https://github.com/gogabrielordonez/mcp-ragchat>

## 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": "gogabrielordonez-mcp-ragchat"
    }
  }
}
```

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

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