Textin MCP Server: OCR to Markdown for images, PDFs & Word docs — fast document OCR, PDF OCR converter and OCR data extr
by Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Slack
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Backlog
Backlog integrates project issue tracking software and collaboration for efficient task management directly in conversat
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Textin MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Textin MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Textin MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Textin MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Useful MCP listing: Textin MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.
Strong directory entry: Textin MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We evaluated Textin MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.
We wired Textin MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Textin MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Textin MCP Server reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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Claude Desktop configuration
{
"mcpServers": {
"textin-ocr": {
"command": "npx",
"args": [
"-y",
"@intsig/server-textin"
],
"env": {
"APP_ID": "\u003CYOUR_APP_ID\u003E",
"APP_SECRET": "\u003CYOUR_APP_SECRET\u003E",
"MCP_SERVER_REQUEST_TIMEOUT": "600000"
}
}
}
}Performs OCR on images, PDFs, and Word documents to extract text, convert documents to Markdown format, and extract structured information from various document types.
Textin MCP Server is an official MCP server published by intsig-textin that provides AI assistants with tools and capabilities via the Model Context Protocol. Textin MCP Server: OCR to Markdown for images, PDFs & Word docs — fast document OCR, PDF OCR converter and OCR data extr It is categorized under ai ml, productivity.
You can install Textin MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
English | 中文
TextIn MCP Server is a tool for extracting text and performing OCR on documents, including document text recognition, ID recognition, and invoice recognition. It also supports converting documents into Markdown format.
<!-- <a href="https://glama.ai/mcp/servers/@intsig-textin/textin-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@intsig-textin/textin-mcp/badge" alt="Textin Server MCP server" /> </a> -->recognition_text
path (string, required): file path or a URL (HTTP/HTTPS) pointing to a documentdoc_to_markdown
path (string, required): file path or a URL (HTTP/HTTPS) pointing to a documentgeneral_information_extration
path (string, required): file path or a URL (HTTP/HTTPS) pointing to a documentkey (string[], optional): The non-tabular text information that the user wants to identify, input format is an array of strings.table_header (string[], optional): The table information that the user wants to identify, input format is an array of strings.When the input is a URL, it does not support handling access to protected resources.
Click here to register for a TextIn account.
Get Textin APP_ID and APP_SECRET by following the instructions here.
{
"mcpServers": {
"textin-ocr": {
"command": "npx",
"args": [
"-y",
"@intsig/server-textin"
],
"env": {
"APP_ID": "<YOUR_APP_ID>",
"APP_SECRET": "<YOUR_APP_SECRET>",
"MCP_SERVER_REQUEST_TIMEOUT": "600000"
},
"timeout": 600
}
}
}
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
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