stagenth · 文档解析
Server Details
Parse PDF/Word/PPT/HTML to Markdown; tables as JSON, image extraction, RAG chunking, page ranges.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4/5 across 4 of 4 tools scored.
Each tool targets a distinct aspect of document processing: parsing to Markdown, chunking for RAG, extracting images, and extracting tables. No overlap is evident.
All tools share a 'doc_' prefix and use snake_case, but the second part mixes verbs and nouns (chunk, images, parse, tables). Mostly consistent with a minor deviation.
Four tools provide a focused and complete set for document parsing without being excessive or insufficient.
Covers core document operations: parsing, chunking, image extraction, and table extraction. Missing OCR for scanned documents and metadata extraction, but these are minor gaps.
Available Tools
4 toolsdoc_chunkInspect
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)。
返回 [{index, heading, text, chars}],喂检索/嵌入无需再自己写切块逻辑。
| Name | Required | Description | Default |
|---|---|---|---|
| file_id | No | 已上传到文件中转站的文档 ID(与 data_base64 二选一) | |
| filename | No | 文件名带扩展名;base64 输入时必填以判类型 | |
| max_chars | No | 每块最大字符数(200-8000) | |
| page_range | No | 页码范围,如 3-10,空=全部(PDF/PPT 有效) | |
| data_base64 | No | 文档内容 base64(与 file_id 二选一) |
doc_imagesInspect
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。
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。
| Name | Required | Description | Default |
|---|---|---|---|
| file_id | No | 已上传到文件中转站的文档 ID(与 data_base64 二选一) | |
| filename | No | 文件名带扩展名;base64 输入时必填以判类型 | |
| max_images | No | 最多抽取图片数(1-100) | |
| data_base64 | No | 文档内容 base64(与 file_id 二选一) |
doc_parseInspect
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)。
纯解析 + 格式转换、不生成任何 AI 内容;扫描件 OCR 暂未支持。
支持 page_range 只解析指定页码段(只按解析的页数扣费)。
| Name | Required | Description | Default |
|---|---|---|---|
| file_id | No | 已上传到文件中转站的文档 ID(与 data_base64 二选一) | |
| filename | No | 文件名带扩展名;base64 输入时必填以判类型(.pdf/.docx/.pptx) | |
| max_pages | No | 最多解析页数,0=全部 | |
| page_range | No | 页码范围,如 3-10 或 5,空=全部(PDF/PPT 有效) | |
| data_base64 | No | 文档内容 base64(与 file_id 二选一) |
doc_tablesInspect
抽取文档中的表格(PDF / .docx / .pptx),转成 headers+rows 的 JSON 可直接计算。
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,
AI 可直接算合计/对比;PDF 用版面识别找表格。
| Name | Required | Description | Default |
|---|---|---|---|
| file_id | No | 已上传到文件中转站的文档 ID(与 data_base64 二选一) | |
| filename | No | 文件名带扩展名;base64 输入时必填以判类型 | |
| max_pages | No | PDF 最多扫描页数(1-100) | |
| data_base64 | No | 文档内容 base64(与 file_id 二选一) |
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!