Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,070Paid calls: 1,530Letters: 13Defects: 1,322counted 4 min ago
teppi

Server definition

Hash
sha256:29d76b3afad539cbe85f58b38e037e0367abd4f3d3c81bb6c295c46cc9837df4
What it is
What a remote MCP server returned when asked what it offers: 4 tools

The blob, as servednamed by its sha256

{ "instructions": "stagenth 旗下「文档解析」MCP 服务。客户端通过 Authorization: Bearer <API_TOKEN> 认证。每个工具在对应用户的上下文中执行,用户间数据隔离。提供工具:doc_parse(PDF/Word/PPT → 干净 Markdown + 结构化,按页计费)。", "tools": [ { "description": "把文档切成适合 RAG / 向量嵌入的语义块(按标题层级切,超长块按段落细分)。\n\n 返回 [{index, heading, text, chars}],喂检索/嵌入无需再自己写切块逻辑。\n ", "inputSchema": { "properties": { "data_base64": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "文档内容 base64(与 file_id 二选一)", "title": "Data Base64" }, "file_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "已上传到文件中转站的文档 ID(与 data_base64 二选一)", "title": "File Id" }, "filename": { "default": "", "description": "文件名带扩展名;base64 输入时必填以判类型", "title": "Filename", "type": "string" }, "max_chars": { "default": 1500, "description": "每块最大字符数(200-8000)", "maximum": 8000, "minimum": 200, "title": "Max Chars", "type": "integer" }, "page_range": { "default": "", "description": "页码范围,如 3-10,空=全部(PDF/PPT 有效)", "title": "Page Range", "type": "string" } }, "title": "doc_chunkArguments", "type": "object" }, "name": "doc_chunk", "outputSchema": null }, { "description": "抽取文档内嵌的图片(PDF / .docx / .pptx),打包 ZIP 落文件中转站并返下载 URL。\n\n 过滤 <1KB 的图标噪声;多模态 AI 可配合 doc_parse 的文本一起理解图文文档。\n ", "inputSchema": { "properties": { "data_base64": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "文档内容 base64(与 file_id 二选一)", "title": "Data Base64" }, "file_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "已上传到文件中转站的文档 ID(与 data_base64 二选一)", "title": "File Id" }, "filename": { "default": "", "description": "文件名带扩展名;base64 输入时必填以判类型", "title": "Filename", "type": "string" }, "max_images": { "default": 50, "description": "最多抽取图片数(1-100)", "maximum": 100, "minimum": 1, "title": "Max Images", "type": "integer" } }, "title": "doc_imagesArguments", "type": "object" }, "name": "doc_images", "outputSchema": null }, { "description": "把 PDF / Word(.docx) / PPT(.pptx) / HTML / 纯文本 解析成干净 Markdown + 结构化(按实际解析页数计费,每页 1 credit)。\n\n 纯解析 + 格式转换、不生成任何 AI 内容;扫描件 OCR 暂未支持。\n 支持 page_range 只解析指定页码段(只按解析的页数扣费)。\n ", "inputSchema": { "properties": { "data_base64": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "文档内容 base64(与 file_id 二选一)", "title": "Data Base64" }, "file_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "已上传到文件中转站的文档 ID(与 data_base64 二选一)", "title": "File Id" }, "filename": { "default": "", "description": "文件名带扩展名;base64 输入时必填以判类型(.pdf/.docx/.pptx)", "title": "Filename", "type": "string" }, "max_pages": { "default": 0, "description": "最多解析页数,0=全部", "title": "Max Pages", "type": "integer" }, "page_range": { "default": "", "description": "页码范围,如 3-10 或 5,空=全部(PDF/PPT 有效)", "title": "Page Range", "type": "string" } }, "title": "doc_parseArguments", "type": "object" }, "name": "doc_parse", "outputSchema": null }, { "description": "抽取文档中的表格(PDF / .docx / .pptx),转成 headers+rows 的 JSON 可直接计算。\n\n 与 doc_parse 的区别:表格不再压平成 markdown 竖线文本,而是结构化行列,\n AI 可直接算合计/对比;PDF 用版面识别找表格。\n ", "inputSchema": { "properties": { "data_base64": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "文档内容 base64(与 file_id 二选一)", "title": "Data Base64" }, "file_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "已上传到文件中转站的文档 ID(与 data_base64 二选一)", "title": "File Id" }, "filename": { "default": "", "description": "文件名带扩展名;base64 输入时必填以判类型", "title": "Filename", "type": "string" }, "max_pages": { "default": 50, "description": "PDF 最多扫描页数(1-100)", "maximum": 100, "minimum": 1, "title": "Max Pages", "type": "integer" } }, "title": "doc_tablesArguments", "type": "object" }, "name": "doc_tables", "outputSchema": null } ] }
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