AI Tools
围绕主题扩展多语言关键词，检索公开 Reddit 讨论，整理证据、主题、情绪和谨慎结论。
用三种语言从你的代码中调用此工具。
curl -X POST 'https://api.elysiatools.com/zh/api/tools/reddit-search-research' \
-H 'Content-Type: application/json' \
-d '{"topic":"How developers feel about AI coding assistants","outputLanguage":"en","timeRange":"month","sort":"relevance","maxQueries":4,"resultsPerQuery":8,"includeComments":false}'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST https://api.elysiatools.com/zh/api/tools/reddit-search-research| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| topic | textarea | 是 | — |
| outputLanguage | select | 否 | — |
| timeRange | select | 否 | — |
| sort | select | 否 | — |
| maxQueries | number | 否 | — |
| resultsPerQuery | number |
将此工具加入你的 Model Context Protocol 服务，让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置：
{
"mcpServers": {
"elysiatools-reddit-search-research": {
"name": "reddit-search-research",
"description": "围绕主题扩展多语言关键词，检索公开 Reddit 讨论，整理证据、主题、情绪和谨慎结论。",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=reddit-search-research",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后，列出已开放的工具：
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用，参数由其参数表构建：
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "reddit-search-research",
"arguments": {
"topic": "How developers feel about AI coding assistants",
"outputLanguage": "en",
"timeRange": "month",
"sort": "relevance",
"maxQueries": 4,
"resultsPerQuery": 8,
"includeComments": false
}
}
}有问题或反馈？请联系 [email protected]
| 否 |
| — |
| includeComments | checkbox | 否 | — |
JSON 结果
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}