# RAGFlow MCP Server

> Use this tool when you need to create and manage chat assistants, or interact with them via API, to solve problems like building conversational interfaces or automating customer support. It takes in dataset listings and API requests as inputs and outputs chat responses and assistant configurations. Ideal for use cases where custom chat assistants are required, such as customer service or language translation applications.

Canonical page: https://skillsregistry.net/skills/wang-junjian-ragflow-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/wang-junjian-ragflow-mcp-server

## Description

Enables listing datasets, creating chat assistants, and chatting with them via RAGFlow API.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ciqlgqs1d5)
- **Repository:** <https://github.com/wang-junjian/ragflow-mcp-server>

## 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": "wang-junjian-ragflow-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wang-junjian-ragflow-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wang-junjian-ragflow-mcp-server/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