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BridgeToAgent — AI Readiness

Is a website ready for AI shopping agents? Readiness score (0-100) + agent shopping simulation.

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "combridgetoagent-ai-readiness": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "combridgetoagent-ai-readiness": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "combridgetoagent-ai-readiness": { "command": "npx", "args": [] } } }

TRY THIS MCP

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About This MCP Server

The com.bridgetoagent/ai-readiness Model Context Protocol server assesses whether a website is ready for AI shopping agents by providing a readiness score ranging from 0 to 100 and simulating agent shopping experiences. This server connects to websites to evaluate their compatibility with AI-powered shopping tools, enabling developers to identify areas for improvement. Developers would use this server to test and optimize their website's AI readiness, particularly when integrating AI shopping agents or preparing for e-commerce applications that rely on AI-driven interactions.

Is a website ready for AI shopping agents? Readiness score (0-100) + agent shopping simulation.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the streamable-http transport.

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the streamable-http transport.

What tools does it provide?

The BridgeToAgent — AI Readiness server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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