Text Processing
从文本提取事实性主张，关联脚注/链接/参考文献，标记无来源、弱来源、重复引用和引用范围不清的主张
用三种语言从你的代码中调用此工具。
curl -X POST 'http://127.0.0.1:3003/zh/api/tools/claim-evidence-citation-mapper' \
-H 'Content-Type: application/json' \
-d '{"text":"Global temperatures rose about 1.1°C since 1880 [1]. Sea level may reach +1 m by 2100 (2). Renewable capacity tripled last decade.","citations":"[1] IPCC AR6, 2021.\n[2] NASA Sea Level Change Portal.","markerPattern":"","useAI":true}'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST http://127.0.0.1:3003/zh/api/tools/claim-evidence-citation-mapper| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| text | textarea | 是 | — |
| citations | textarea | 否 | — |
| markerPattern | text | 否 | — |
| useAI | checkbox | 否 | — |
HTML 结果
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}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-claim-evidence-citation-mapper": {
"name": "claim-evidence-citation-mapper",
"description": "从文本提取事实性主张，关联脚注/链接/参考文献，标记无来源、弱来源、重复引用和引用范围不清的主张",
"baseUrl": "http://127.0.0.1:3003/mcp/sse?toolId=claim-evidence-citation-mapper",
"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": "claim-evidence-citation-mapper",
"arguments": {
"text": "Global temperatures rose about 1.1°C since 1880 [1]. Sea level may reach +1 m by 2100 (2). Renewable capacity tripled last decade.",
"citations": "[1] IPCC AR6, 2021.\n[2] NASA Sea Level Change Portal.",
"markerPattern": "",
"useAI": true
}
}
}有问题或反馈？请联系 [email protected]