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Cherry Studio Knowledge Base MCP Server

Cherry Studio Knowledge Base MCP Server

by Prism-Future
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Remote

Cherry Studio Knowledge Base MCP Server

一行配置，即刻使用。 让 Claude、Cursor 等 AI 助手直接读取你的 Cherry Studio 知识库。

One-line config, ready to use. Let Claude, Cursor, and other AI assistants read your Cherry Studio knowledge bases directly.

客户端兼容性 / Client Compatibility

客户端 / Client

状态 / Status

备注 / Notes

✅ Codex

已验证可用

—

✅ WorkBuddy

已验证可用

—

⚠️ LobeHub

可能无法使用

已知兼容性问题 / Known compatibility issues

你的客户端不在这个列表？欢迎提交 Issue 反馈使用体验！
Your client not listed? Feel free to open an issue with your experience!

Related MCP server: Open WebUI Knowledge Base MCP Server

使用方法 / Usage

方式一：npx 直接运行（推荐，无需安装）/ Method 1: npx (Recommended, No Installation)

打开你的 AI 客户端配置（Claude Desktop / Cursor 等），粘贴以下 JSON：

Open your AI client config (Claude Desktop / Cursor, etc.), paste this JSON:

{
  "mcpServers": {
    "cherrystudio-knowledgebase": {
      "command": "npx",
      "args": ["-y", "cherrystudio-knowledgebase-mcp"],
      "env": {
        "CHERRYSTUDIO_API_BASE_URL": "http://127.0.0.1:23333",
        "CHERRYSTUDIO_API_KEY": "cs-sk-your-api-key-here"
      }
    }
  }
}

只需替换 cs-sk-your-api-key-here 为你的真实 API Key，保存后重启客户端即可。

Just replace cs-sk-your-api-key-here with your real API Key, save and restart your client.

获取 API Key：在 Cherry Studio 中打开设置，找到 API 密钥并复制。 Get API Key: Open Cherry Studio settings, find and copy the API key.

方式二：本地克隆运行 / Method 2: Clone and Run Locally

git clone https://github.com/Prism-Future/cherrystudio-knowledgebase-mcp.git
cd cherrystudio-knowledgebase-mcp
npm install
npm run build

然后使用本地路径配置：/ Then configure with local path:

{
  "mcpServers": {
    "cherrystudio-knowledgebase": {
      "command": "node",
      "args": ["path/to/cherrystudio-knowledgebase-mcp/dist/index.js"],
      "env": {
        "CHERRYSTUDIO_API_BASE_URL": "http://127.0.0.1:23333",
        "CHERRYSTUDIO_API_KEY": "cs-sk-your-api-key-here"
      }
    }
  }
}

方式三：JSON 配置文件 / Method 3: JSON Config File

如果你不想把 API Key 写在客户端配置里，可以创建一个独立的 JSON 配置文件：

If you don't want to put the API Key in the client config, create a standalone JSON config file:

# 创建配置文件 / Create config file
echo '{"cherryStudioApiKey":"cs-sk-your-api-key-here"}' > config.json

然后客户端配置里不需要写 env：/ Then the client config doesn't need env:

{
  "mcpServers": {
    "cherrystudio-knowledgebase": {
      "command": "npx",
      "args": ["-y", "cherrystudio-knowledgebase-mcp"]
    }
  }
}

配置文件支持放在以下位置（优先级由高到低）：/ Config file can be placed at (priority from high to low):

  1. config.json in project root

  2. ~/.config/cherrystudio-kb-mcp/config.json

完整配置示例见 config.example.json。/ See config.example.json for full example.

前置要求 / Prerequisites

  • Node.js 18+

  • Cherry Studio（已启动并运行 / Running）

  • Cherry Studio API 已启用且知道 API Key / API enabled and you have the API Key

功能 / Features

工具 / Tool

功能 / Function

listKnowledgeBases

列出所有知识库 / List all knowledge bases

searchKnowledgeBases

搜索知识库内容 / Search knowledge bases

getKnowledgeBase

获取知识库详情 / Get knowledge base details

getMcpServers

列出已配置的 MCP 服务器 / List configured MCP servers

常见问题 / FAQ

Q: API Key 在哪里获取？/ Where to get the API Key?

A: 在 Cherry Studio 设置中找到 API 密钥并复制。/ Find and copy the API key in Cherry Studio settings.

Q: Cherry Studio API 地址是什么？/ What is the API address?

A: 默认是 http://127.0.0.1:23333，请确保 Cherry Studio 正在运行。/ Default is http://127.0.0.1:23333, make sure Cherry Studio is running.

Q: 支持哪些客户端？/ Which clients are supported?

A: 任何支持 MCP 协议的客户端，如 Claude Desktop、Cursor、Codex 等。/ Any MCP-compatible client: Claude Desktop, Cursor, Codex, etc.

开发 / Development

npm install      # 安装依赖
npm run dev      # 开发模式
npm run build    # 构建
npm run test     # 测试

项目信息 / Project Info

  • 作者 / Author: Prism-Future

  • 许可证 / License: MIT

  • 技术栈 / Tech Stack: TypeScript, Node.js, MCP SDK, Zod, Axios

相关链接 / Links

Available Tools

4 tools
getKnowledgeBaseA

Get details of a specific knowledge base by ID

Inputs: id (required).

getMcpServersA

List all MCP servers configured in Cherry Studio

Inputs: no named parameters.

listKnowledgeBasesA

List all available knowledge bases in Cherry Studio

Inputs: no named parameters.

searchKnowledgeBasesA

Search across one or more knowledge bases for relevant content

Inputs: query (required), documentCount, knowledgeBaseIds.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 4 tools

    Disambiguation4/5

    Each knowledge base tool is clearly distinct: list, get, and search. However, getMcpServers is an unrelated tool that could confuse the server's purpose, making it slightly less coherent as a set.

    Naming Consistency5/5

    All tools follow a consistent verb + noun pattern in camelCase (list, get, search), with no mixed conventions or vague verbs.

    Tool Count4/5

    With 4 tools, the count is within the ideal range, but it feels slightly thin for a knowledge base server that might be expected to support more operations.

    Completeness2/5

    The knowledge base tools only cover list, get, and search, with no create, update, or delete operations, leaving obvious lifecycle gaps. The inclusion of getMcpServers also distracts from the domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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