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Ddddocr Captcha MCP
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Ddddocr Captcha MCP

A CAPTCHA recognition MCP server based on ddddocr, providing text OCR, object detection, and slider matching functions
Artificial intelligence chatbotsDeveloper tools#CAPTCHA Recognition#OCR Recognition#Slider Matching#Object Detection.TypeScript
2.5 points
0
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Overview

Content Details

Alternatives

What is the ddddocr CAPTCHA Recognition Server?

This is an AI-based CAPTCHA recognition service specifically designed to automatically recognize and process various types of CAPTCHAs. It can read the text in CAPTCHAs, identify specific objects in images, and match the position of slider CAPTCHAs, allowing you to pass verification without manual operation.

How to use the ddddocr CAPTCHA Recognition Server?

You can use this service through simple API calls or by integrating it into your application. Just send the CAPTCHA image to the server, and it will return the recognition result. It supports multiple usage methods, including direct installation into the AI toolchain, local deployment, or use through an online service.

Applicable Scenarios

Suitable for various scenarios that require automated CAPTCHA processing, such as web crawler data collection, automated testing, batch account registration, automated office processes, research and analysis, and other occasions that need to bypass CAPTCHA restrictions.

Main Features

Text Recognition
Automatically recognize the text content in the CAPTCHA image, supporting various fonts and distorted text
Object Detection
Detect specific objects in the CAPTCHA image, such as traffic signs, animals, daily necessities, etc.
Slider Matching
Accurately match the position of the slider CAPTCHA and calculate the distance the slider needs to move
High-Performance Processing
Optimized based on the ONNX runtime, with fast processing speed and rapid response
Easy to Integrate
Fully compatible with the Model Context Protocol and can be easily integrated into various AI toolchains
Advantages
High recognition accuracy based on advanced deep learning models
Fast processing speed, supporting real-time CAPTCHA recognition
Supports multiple types of CAPTCHAs, with wide applicability
Easy to integrate and use, providing clear API interfaces
Open source and free, allowing self-deployment and modification
Limitations
The recognition rate may decrease for particularly complex or dynamically changing CAPTCHAs
Requires certain computing resources for support
Some advanced functions require a Python environment for support
Limited effectiveness against specially designed anti-recognition CAPTCHAs

How to Use

Install the Service
Install it with one click through the Smithery platform or deploy it locally
Prepare the CAPTCHA Image
Obtain the CAPTCHA image to be recognized and ensure the image is clear
Call the Recognition Function
Select the appropriate recognition tool according to the CAPTCHA type
Get the Recognition Result
Receive the recognition result returned by the server and apply it to your application

Usage Examples

Automated Website Login
Automatically process the text CAPTCHA during login to achieve unattended website login
Bypass CAPTCHA in Data Collection
Automatically recognize CAPTCHAs in web crawlers to ensure the continuity of data collection
Automation of Slider CAPTCHA
Automatically calculate the distance the slider needs to move to complete the slider verification

Frequently Asked Questions

Is this service free?
What is the recognition accuracy?
What kind of operating environment is required?
What types of CAPTCHAs are supported?
How to handle the situation of recognition failure?

Related Resources

GitHub Repository
Project source code and detailed documentation
ddddocr Official Documentation
Technical documentation for the core recognition library
Model Context Protocol Official Website
Official introduction and specifications of the MCP protocol
Smithery Platform
A platform for one-click installation and deployment of the MCP server

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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