# RAGFlow MCP Server

> Use this tool when you need to manage knowledge base datasets and conduct AI-driven chat sessions, solving problems such as information retrieval and customer support. It enables interaction with the RAGFlow API, accepting inputs like dataset queries and chat assistant configurations, and outputs relevant information and chat responses. Ideal for use cases requiring specialized knowledge base management and AI-driven conversation interfaces.

Canonical page: https://skillsregistry.net/skills/aitech-team-ragflow-mcp-server-continue  
JSON: https://api.skillsregistry.net/v1/skills/aitech-team-ragflow-mcp-server-continue

## Description

Enables interaction with the RAGFlow API to manage knowledge base datasets and conduct AI-driven chat sessions. Users can list datasets, create chat assistants, and retrieve or query information from specialized knowledge bases.

## 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:** api-integration
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g8vzx3bnt7)
- **Repository:** <https://github.com/AITech-Team/ragflow-mcp-server-continue>

## 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": "aitech-team-ragflow-mcp-server-continue"
    }
  }
}
```

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

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