Doramagic.ai Chinese

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Turn open-source projects into portable, testable, verifiable AI capabilities

Doramagic discovers projects from GitHub, community signals, and public evidence, then compiles five capability assets people can bring into Claude, Codex, Cursor, ChatGPT, and other AI hosts.

Core categories

Your core installable capabilities

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Latest projects

Latest projects

Browse projects
MCP Tool Integration Public

scrapingdog-mcp

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

0pen1/scrapingdog-mcp
MCPTool callingHost configuration
MCP Tool Integration Public

shapelex

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

AldoDior/shapelex
MCPTool callingHost configuration
MCP Tool Integration Public

agentchat-mcp

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

agentchatme/agentchat-mcp
MCPTool callingHost configuration
MCP Tool Integration Public

gnosem

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

gnosem/gnosem
MCPTool callingHost configuration
MCP Tool Integration Public

presentation-md

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

isatimur/presentation-md
MCPTool callingHost configuration
Software Development & Delivery Public

pipelex

Declarative language for composable Al workflows. Devtool for agents and mere humans.

Pipelex/pipelex
MCP Tool Integration Public

web_search_mcp

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

jimmytbc/web_search_mcp
MCPTool callingHost configuration
MCP Tool Integration Public

hebbrix-mcp

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

Hebbrix/hebbrix-mcp
MCPTool callingHost configuration
Data Analysis & Investment Research Public

kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

kedro-org/kedro

Service flow

From discovery to publication

01

Submit an open-source project

Enter a GitHub repository so Doramagic can identify the project and its public sources.

02

Collect evidence

Check official docs, community discussion, popularity signals, and known failure modes.

03

Compile five assets

Produce Quick Start, Prompt Preview, Human Manual, AI Context Pack, and Boundary & Risk Card.

04

Publish after verification

Do not fill evidence gaps with guesswork; do not package unverified capabilities as proven recommendations.