SearchAPI Agent
About
An MCP agent that integrates various search tools using the SearchAPI service. Requires SearchAPI and Google API keys.
Details
- Author
- rmmargt
- Categories
- Search, Other, API
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配置环境变量 Configure Environment Variables
创建.env文件并设置以下环境变量： Create a.envfile and set the following environment variables:
SEARCHAPI_API_KEY=your_searchapi_key_here GOOGLE_API_KEY=your_google_api_key_here
Claude For Desktop 配置示例 Claude For Desktop Configuration Example
在 Claude for Desktop 的配置文件中添加以下内容： Add the following to your Claude for Desktop configuration file:
{ "mcpServers": { "searchapi": { "command": "uv", "args": [ "run", "--with", "mcp[cli]", "/path/to/searchapi-mcp-agent/mcp_server.py" ], "env": { "SEARCHAPI_API_KEY": "your_api_key_here", "GOOGLE_API_KEY": "your_google_api_key_here" } } } }
- macOS:~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:%APPDATA%\Claude\claude_desktop_config.json
本项目采用 MIT 许可证 - 详见 LICENSE 文件 This project is licensed under the MIT License - see the LICENSE file for details
- Model Context Protocol - 协议规范 | Protocol specification
- A2A Protocol - Agent-to-Agent 协议规范 | Agent-to-Agent protocol specification
- FastMCP - Python MCP 实现 | Python MCP implementation
- SearchAPI.io - 搜索服务提供商 | Search service provider
- Google A2A - Agent-to-Agent 协议参考实现 | A2A protocol reference implementation
注意：本服务器会与外部 API 进行交互。在使用 MCP 客户端确认操作之前，请始终验证请求的操作是否合适。Note: This server interacts with external APIs. Always verify that requested operations are appropriate before confirming them in MCP clients.
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启动 Google A2A 项目的 Host Agent 和 SearchAPI Agent
按照以下步骤启动完整的 A2A 环境，包括 Host Agent 和 SearchAPI Agent:
# 在searchapi-mcp-agent目录下 python -m searchapi_mcp_agent --host localhost --port 10001
# 切换到 Google A2A 样例目录 cd path/to/A2A/samples/python # 运行 Host Agent (选择一种) uv run hosts/cli # 命令行界面 # 或 uv run hosts/multiagent # 多代理环境
在 UI 中，点击机器人图标添加 SearchAPI Agent，使用以下地址:
可以通过以下方式发送请求： You can send requests in the following ways:
{ "query": "查找从纽约到洛杉矶的航班" }
Agent会使用LLM自动将查询路由到合适的工具。 The agent will use LLM to automatically route the query to the appropriate tool.
{ "tool_name": "search_google_flights", "parameters": { "departure_id": "NYC", "arrival_id": "LAX", "outbound_date": "2024-12-01" } }
本项目已完全实现 A2A 协议，可以作为 AI 助手的服务端点。API 符合 A2A 规范，支持任务创建、状态查询和流式响应。
This project fully implements the A2A protocol and can serve as a service endpoint for AI assistants. The API complies with the A2A specification, supporting task creation, status queries, and streaming responses.
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