mcp2brave

一个MCP服务器，基于Brave API让你的Claude Cline以及Langchain实现网络搜索功能。An MCP server that use Brave API allows your Claude Cline and Langchain to implement network search functions.

1 stars PythonAI & Machine Learning Updated Mar 29, 2025

Documentation

mcp2brave

一个基于MCP协议的服务器，使用Brave API实现网络搜索功能。

系统要求

Python 3.11+
UV包管理器
Brave API密钥

安装步骤

1. 克隆项目

bash

git clone 
cd mcp2brave

2. 创建并编辑环境变量文件

bash

# 添加Brave API密钥到.env文件
.env

3. 使用UV创建虚拟环境

bash

# 创建并激活虚拟环境
uv venv
# Windows系统使用:
.venv\Scripts\activate
# Linux/Mac系统使用:
source .venv/bin/activate

4. 安装依赖

bash

uv sync

使用方法

安装为Claude扩展

bash

fastmcp install mcp2brave.py

开发模式与MCP检查器

要使用MCP检查器测试功能：

bash

fastmcp dev mcp2brave.py

运行后，可以在浏览器访问MCP检查器：http://localhost:5173

可用工具

`search_web(query: str)`: 使用Brave API搜索网络
`search_web_info(query: str)`: 同上，带中文描述

环境变量

`Brave_API_KEY`: 你的Brave API密钥（必需）

注意事项

确保在使用前已正确设置API密钥
虚拟环境激活后才能运行相关命令
如遇到编码问题，请确保系统使用UTF-8编码

手动添加Cline Continue Claude

打开Cline Continue Claude的MCP服务器配置文件，加入以下信息

json

"mcp2brave": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "fastmcp",
        "--with",
        "python-dotenv",
        "--with",
        "beautifulsoup4",
        "--with",
        "requests",
        "fastmcp",
        "run",
        "C:\\Users\\你的真实路径\\mcp2brave.py"
      ],
      "env": {
        "BRAVE_API_KEY": "API密钥"
      }
    }

详细操作步骤

Cline集成

使用示例

Frequently asked questions

What is mcp2brave?

mcp2brave is 一个MCP服务器，基于Brave API让你的Claude Cline以及Langchain实现网络搜索功能。An MCP server that use Brave API allows your Claude Cline and Langchain to implement network search functions.

How do I install mcp2brave?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is mcp2brave open source?

Yes — it is hosted on GitHub at https://github.com/mcp2everything/mcp2brave and has 1 stars.

Related MCP tools

openhands

🙌 OpenHands: Code Less, Make More for the Model Context Protocol. Enhance AI assistants with powerful integrations. Python-based implementation.

64,677 Python

agentartificial-intelligencechatgpt+6

mem0

Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management. Python-based implementation.

42,646 Python

agentsaiai-agents+12

chatgpt-on-wechat

基于大模型搭建的聊天机器人，同时支持微信公众号、企业微信应用、飞书、钉钉等接入，可选择ChatGPT/Claude/DeepSeek/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

39,573 Python

aiai-agentchatgpt+17

gpt-researcher

An LLM agent that conducts deep research (local and web) on any given topic and generates a long report with citations. Built for the Model Context Protocol to

24,026 Python

agentaiautomation+8

fastmcp

🚀 The fast, Pythonic way to build MCP servers and clients Trusted by 19900+ developers. Trusted by 19900+ developers. Trusted by 19900+ developers.

19,927 Python

agentsfastmcpllms+6

maxkb

🔥 MaxKB is an open-source platform for building enterprise-grade agents. MaxKB 是强大易用的开源企业级智能体平台。 for the Model Context Protocol. Enhance AI assistants with po

19,062 Python

agentagentic-aichatbot+11

Run your own MCP server? See who uses it and what to fix.

Measure it with TrackMCP