ai-mlproductivity

Textin MCP Server

intsig-textin

by intsig-textin

Textin MCP Server: OCR to Markdown for images, PDFs & Word docs — fast document OCR, PDF OCR converter and OCR data extr

A server that enables OCR capabilities to recognize text from images, PDFs, and Word documents, convert them to Markdown, and extract key information.

github stars

28

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Supports both local files and web URLsMultiple output formats (plain text, Markdown, structured JSON)

best for

  • / Content creators digitizing printed materials
  • / Developers building document processing workflows
  • / Researchers extracting data from scanned documents
  • / Teams converting legacy documents to modern formats

capabilities

  • / Extract text from images and documents via OCR
  • / Convert PDFs and Office documents to Markdown
  • / Extract structured information and key-value pairs from documents
  • / Process documents from local files or HTTP/HTTPS URLs
  • / Handle multiple file formats including PDF, Word, Excel, and common image formats

what it does

Performs OCR on images, PDFs, and Word documents to extract text, convert documents to Markdown format, and extract structured information from various document types.

about

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.

how to install

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.

license

MIT

Textin MCP Server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

TextIn OCR MCP

<p align="center"> <img align="center" src="https://ccidownload.blob.core.chinacloudapi.cn/download/2025/LLMS/logo.png" width="800" alt="TextIn"> </p>

English | 中文

TextIn OCR MCP Server

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> -->

Tools

  • recognition_text

    • Text recognition from images, Word documents, and PDF files.
    • Inputs:
      • path (string, required): file path or a URL (HTTP/HTTPS) pointing to a document
    • Return: Text of the document.
    • Supports conversion for:
      • PDF
      • Image (Jpeg, Jpg, Png, Bmp)
  • doc_to_markdown

    • Convert images, PDFs, and Word documents to Markdown.
    • Inputs:
      • path (string, required): file path or a URL (HTTP/HTTPS) pointing to a document
    • Return: Markdown of the document.
    • Supports conversion for:
      • PDF
      • Microsoft Office Documents (Word, Excel)
      • Image (Jpeg, Jpg, Png, Bmp)
  • general_information_extration

    • Automatically identify and extract information from documents, or identify and extract user-specified information.
    • Inputs:
      • path (string, required): file path or a URL (HTTP/HTTPS) pointing to a document
      • key (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.
    • Return: The key information JSON.
    • Supports conversion for:
      • PDF
      • Microsoft Office Documents (Word, Excel)
      • Image (Jpeg, Jpg, Png, Bmp)

When the input is a URL, it does not support handling access to protected resources.

Setup

APP_ID and APP_SECRET

Click here to register for a TextIn account.

Get Textin APP_ID and APP_SECRET by following the instructions here.

NPX

{
  "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
    }
  }
}

License

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.

FAQ

What is the Textin MCP Server MCP server?
Textin MCP Server is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Textin MCP Server?
This profile displays 59 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

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

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

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

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ 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.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.859 reviews
  • Daniel Menon· Dec 28, 2024

    Textin MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Ama Khan· Dec 24, 2024

    Textin MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Liam Bansal· Dec 24, 2024

    I recommend Textin MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Pratham Ware· Dec 12, 2024

    Textin MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • James Huang· Dec 8, 2024

    Useful MCP listing: Textin MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Luis Singh· Dec 4, 2024

    Strong directory entry: Textin MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Emma Torres· Nov 27, 2024

    We evaluated Textin MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.

  • Luis Verma· Nov 27, 2024

    We wired Textin MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Amelia Farah· Nov 23, 2024

    Textin MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Ira Okafor· Nov 15, 2024

    Textin MCP Server reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

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