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Model Context Protocol (MCP) Server

by infinyte
index.html5.92 kB
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>MCP Client</title> <style> body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Arial, sans-serif; max-width: 800px; margin: 0 auto; padding: 20px; line-height: 1.6; } h1 { text-align: center; margin-bottom: 30px; } .container { display: flex; flex-direction: column; gap: 20px; } .form-group { display: flex; flex-direction: column; gap: 5px; } label { font-weight: bold; } select, textarea, input { padding: 8px; border: 1px solid #ccc; border-radius: 4px; font-size: 16px; } textarea { min-height: 120px; resize: vertical; } button { background-color: #4CAF50; color: white; border: none; padding: 10px 15px; text-align: center; text-decoration: none; font-size: 16px; cursor: pointer; border-radius: 4px; margin-top: 10px; } button:hover { background-color: #45a049; } #response { background-color: #f9f9f9; border: 1px solid #ddd; padding: 15px; border-radius: 4px; white-space: pre-wrap; min-height: 200px; } .loading { text-align: center; font-style: italic; color: #666; } </style> </head> <body> <h1>MCP Client</h1> <div class="container"> <div class="form-group"> <label for="provider">Provider:</label> <select id="provider"> <option value="anthropic">Anthropic</option> <option value="openai">OpenAI</option> </select> </div> <div class="form-group"> <label for="model">Model:</label> <input type="text" id="model" placeholder="e.g., claude-3-opus-20240229 or gpt-4o"> </div> <div class="form-group"> <label for="message">Message:</label> <textarea id="message" placeholder="Type your message here..."></textarea> </div> <div class="form-group"> <label for="context">System Context (optional):</label> <textarea id="context" placeholder="Optional system message or context..."></textarea> </div> <button id="send">Send Request</button> <div class="form-group"> <label for="response">Response:</label> <div id="response"></div> </div> </div> <script> document.getElementById('provider').addEventListener('change', function() { const provider = this.value; const modelInput = document.getElementById('model'); if (provider === 'anthropic') { modelInput.placeholder = 'e.g., claude-3-opus-20240229'; } else if (provider === 'openai') { modelInput.placeholder = 'e.g., gpt-4o'; } }); document.getElementById('send').addEventListener('click', async function() { const provider = document.getElementById('provider').value; const model = document.getElementById('model').value; const message = document.getElementById('message').value; const context = document.getElementById('context').value; const responseElement = document.getElementById('response'); if (!message) { alert('Please enter a message'); return; } responseElement.textContent = 'Loading...'; responseElement.classList.add('loading'); try { const response = await fetch(`/mcp/${provider}`, { method: 'POST', headers: { 'Content-Type': 'application/json', }, body: JSON.stringify({ messages: [ { role: 'user', content: message } ], ...(model && { model }), ...(context && { context }) }), }); const data = await response.json(); responseElement.classList.remove('loading'); responseElement.textContent = JSON.stringify(data, null, 2); // Extract and display the actual response content for easier reading if (provider === 'anthropic' && data.content && data.content.length > 0) { const text = data.content[0].text; responseElement.textContent = text + '\n\n--- Full Response ---\n\n' + JSON.stringify(data, null, 2); } else if (provider === 'openai' && data.choices && data.choices.length > 0) { const text = data.choices[0].message.content; responseElement.textContent = text + '\n\n--- Full Response ---\n\n' + JSON.stringify(data, null, 2); } } catch (error) { responseElement.classList.remove('loading'); responseElement.textContent = `Error: ${error.message}`; } }); </script> </body> </html>

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