Textin MCP Server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| APP_ID | Yes | Your TextIn APP_ID obtained from the TextIn account | |
| APP_SECRET | Yes | Your TextIn APP_SECRET obtained from the TextIn account | |
| MCP_SERVER_REQUEST_TIMEOUT | No | Timeout for MCP server requests in milliseconds | 600000 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| recognition_textC | Text recognition from images, Word documents, and PDF files. |
| general_information_extrationC | Automatically and intelligently extract key information from documents. |
| doc_to_markdownB | Convert images, PDFs, and Word documents to Markdown. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool targets a distinct document processing task: converting to Markdown, extracting key information, and recognizing text. There is no clear overlap, so an agent can easily distinguish them.
Tool names mix patterns: 'doc_to_markdown' uses verb_noun, 'general_information_extration' uses adjective_noun_noun (with a misspelling), and 'recognition_text' uses noun_noun. The inconsistency and spelling error reduce coherence.
Three tools is on the lower end for a document processing server. While it covers basic operations, the set feels thin and could benefit from additional tools like format conversion or OCR options.
The server covers core document tasks (conversion, extraction, recognition) but lacks common operations like document classification, summarization, or editing, leaving some gaps for complex workflows.