秘塔搜索

by HundunOnline

710 downloads

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About

秘塔搜索是一个基于 MCP (Model Context Protocol) 的 Metaso AI 搜索引擎服务器，使用官方 FastMCP SDK 构建。它提供多维搜索和网页内容解析功能，可供 Claude Desktop 等 MCP 客户端集成调用。

Details

Author: HundunOnline
Downloads: 710
Categories: Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name 秘塔搜索

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

From the repository

安装 Python 3.10+ 和依赖，设置环境变量 METASO_API_KEY，然后运行 python server.py 启动服务器。可通过 Claude Desktop 的 DXT 扩展一键安装或手动编辑配置文件集成。

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "\u79d8\u5854\u641c\u7d22": {
            "mcp-metaso": {
                "command": "python",
                "args": [
                    "/path/to/mcp-metaso/server.py"
                ],
                "env": {
                    "METASO_API_KEY": "your-api-key-here"
                }
            }
        }
    }
}

McpServers

{
    "mcp-metaso": {
        "command": "python",
        "args": [
            "/path/to/mcp-metaso/server.py"
        ],
        "env": {
            "METASO_API_KEY": "your-api-key-here"
        }
    }
}

MCP Metaso

> 一个基于 MCP (Model Context Protocol) 的 Metaso AI 搜索引擎服务器，使用官方 FastMCP SDK 构建。

✨ 功能特性

- 🔍 多维搜索：支持网页、文库、学术、图片、视频、播客六种搜索类型
- 📄 网页解析：提取网页内容并转换为 Markdown 或 JSON 格式
- ⚡ 高性能：基于 FastMCP SDK，异步处理，类型安全
- 🔌 标准兼容：完全符合 MCP 协议规范，可与 Claude Desktop 等客户端集成

🚀 快速开始

1. 安装依赖

pip install -r requirements.txt

2. 配置 API 密钥

export METASO_API_KEY="your-api-key-here"

3. 启动服务器

python server.py

4. 测试功能

python test_all_scopes.py

🔧 Claude Desktop 集成

DXT扩展安装（最简单的方式）🌟

Claude Desktop现在支持DXT扩展格式，让安装变得像安装浏览器扩展一样简单！

1. 下载DXT扩展文件
- 从发布页面下载 mcp-metaso-1.1.0.dxt

2. 双击安装
- 打开Claude Desktop应用
- 导航到 设置 > 扩展
- 点击"从.dxt文件安装"并选择下载的文件
- 在配置界面输入您的Metaso API密钥
- 点击"安装"完成

3. 立即使用
- 重启Claude Desktop
- 开始使用："搜索人工智能的最新发展"

自动安装工具（传统方式）

如果您更喜欢传统的安装方式：

```bash

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秘塔搜索

About

Details

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Setting up with Highlight

Setting up with Cursor

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Setting up with Claude Desktop

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Setting up with Windsurf

JSON

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Setting up with Cline

JSON

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Setting up with Goose

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From the repository

Claude Desktop / Cursor

McpServers

MCP Metaso

✨ 功能特性

🚀 快速开始

1. 安装依赖

2. 配置 API 密钥

3. 启动服务器

4. 测试功能

🔧 Claude Desktop 集成

DXT扩展安装（最简单的方式）🌟

自动安装工具（传统方式）

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

MCP Metaso

✨ 功能特性

🚀 快速开始

1. 安装依赖

2. 配置 API 密钥

3. 启动服务器

4. 测试功能

🔧 Claude Desktop 集成

DXT扩展安装（最简单的方式）🌟

自动安装工具（传统方式）

Install

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