ragflow-mcp-server-fixed
A fixed MCP server that interacts with RAGFlow for dataset management and chat operations, handling legacy endpoint errors and providing a fallback to OpenAI-compatible endpoints.
README
ragflow-mcp-server-fixed
A fixed RAGFlow MCP server for stdio MCP clients.
It keeps the executable name ragflow-mcp-server, so clients can switch from
the original package by changing only the package source.
What This Fixes
Some RAGFlow deployments return errors from the legacy chat endpoint, for example:
'NoneType' object is not subscriptable
required argument are missing: messages
This server handles that by:
- calling RAGFlow HTTP APIs directly;
- parsing stream responses defensively;
- falling back to the OpenAI-compatible RAGFlow endpoint when needed;
- returning clearer error messages from RAGFlow.
Tools
| Tool | Purpose |
|---|---|
list_datasets |
List RAGFlow datasets. |
create_chat |
Create a chat assistant and session for a dataset. |
chat |
Ask a question in a session returned by create_chat. |
ask_configured_chat |
Ask a server-configured RAGFlow chat assistant directly. |
retrieve |
Retrieve matching chunks directly from a dataset. |
For most usage, configure --default-chat-name or --default-chat-id, then use
ask_configured_chat.
Quick Start
{
"command": "uvx",
"args": [
"--from",
"git+https://github.com/FoundZiGu/ragflow-mcp-server-fixed.git@v0.1.2",
"ragflow-mcp-server",
"--api-key",
"ragflow-REPLACE_WITH_YOUR_KEY",
"--base-url",
"http://<RAGFLOW_HOST>:9380",
"--default-chat-name",
"<CHAT_NAME>"
]
}
If your MCP client supports environment variables:
{
"command": "uvx",
"args": [
"--from",
"git+https://github.com/FoundZiGu/ragflow-mcp-server-fixed.git@v0.1.2",
"ragflow-mcp-server"
],
"env": {
"RAGFLOW_API_KEY": "ragflow-REPLACE_WITH_YOUR_KEY",
"RAGFLOW_BASE_URL": "http://<RAGFLOW_HOST>:9380",
"RAGFLOW_DEFAULT_CHAT_NAME": "<CHAT_NAME>"
}
}
Use chat ID instead of name when possible:
{
"command": "uvx",
"args": [
"--from",
"git+https://github.com/FoundZiGu/ragflow-mcp-server-fixed.git@v0.1.2",
"ragflow-mcp-server",
"--api-key",
"ragflow-REPLACE_WITH_YOUR_KEY",
"--base-url",
"http://<RAGFLOW_HOST>:9380",
"--default-chat-id",
"<CHAT_ID>"
]
}
Server Options
| Option | Environment variable | Description |
|---|---|---|
--api-key |
RAGFLOW_API_KEY |
RAGFlow API key. |
--base-url |
RAGFLOW_BASE_URL |
RAGFlow base URL. |
--default-chat-id |
RAGFLOW_DEFAULT_CHAT_ID |
Existing RAGFlow chat assistant ID for ask_configured_chat. |
--default-chat-name |
RAGFLOW_DEFAULT_CHAT_NAME |
Existing RAGFlow chat assistant name for ask_configured_chat. |
--default-session-name |
RAGFLOW_DEFAULT_SESSION_NAME |
Session name created for the configured chat. |
Local Development
uv run ragflow-mcp-server --help
export RAGFLOW_API_KEY="ragflow-REPLACE_WITH_YOUR_KEY"
export RAGFLOW_BASE_URL="http://<RAGFLOW_HOST>:9380"
export RAGFLOW_DEFAULT_CHAT_NAME="<CHAT_NAME>"
uv run python tests/smoke_test.py
Security
- Do not commit API keys.
- Prefer environment variables for secrets.
- Rotate keys that have appeared in logs, screenshots, public issues, or chat transcripts.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。