legends-mcp

// MCP Tool: suggest // Lightweight proactive suggestion tool - designed to be called on EVERY user question // Returns quick recommendations for legends and party_mode import { getAllLegends } from '../legends/loader.js'; import { safeString } from '../utils/sanitize.js'; // Topic keywords with associated legend IDs and confidence boosters const TOPIC_MAP = { // High confidence triggers (specific domains) crypto: { legends: ['cz-binance', 'vitalik-buterin', 'balaji-srinivasan'], boost: 3 }, bitcoin: { legends: ['jack-dorsey', 'balaji-srinivasan'], boost: 3 }, ethereum: { legends: ['vitalik-buterin', 'hayden-adams'], boost: 3 }, solana: { legends: ['anatoly-yakovenko', 'mert-mumtaz'], boost: 3 }, defi: { legends: ['hayden-adams', 'andre-cronje'], boost: 3 }, startup: { legends: ['paul-graham', 'sam-altman', 'peter-thiel'], boost: 3 }, founder: { legends: ['elon-musk', 'jeff-bezos', 'brian-chesky'], boost: 3 }, fundrais: { legends: ['paul-graham', 'marc-andreessen', 'bill-gurley'], boost: 3 }, pitch: { legends: ['paul-graham', 'peter-thiel'], boost: 3 }, yc: { legends: ['paul-graham', 'sam-altman'], boost: 3 }, invest: { legends: ['warren-buffett', 'charlie-munger', 'ray-dalio'], boost: 3 }, stock: { legends: ['warren-buffett', 'peter-lynch', 'cathie-wood'], boost: 3 }, portfolio: { legends: ['ray-dalio', 'howard-marks'], boost: 2 }, ai: { legends: ['sam-altman', 'demis-hassabis', 'jensen-huang'], boost: 3 }, artificial: { legends: ['sam-altman', 'demis-hassabis'], boost: 2 }, // Medium confidence (general business) business: { legends: ['jeff-bezos', 'warren-buffett', 'charlie-munger'], boost: 2 }, company: { legends: ['jeff-bezos', 'satya-nadella', 'tobi-lutke'], boost: 2 }, product: { legends: ['steve-jobs', 'brian-chesky', 'tobi-lutke'], boost: 2 }, design: { legends: ['steve-jobs', 'brian-chesky'], boost: 2 }, scale: { legends: ['reid-hoffman', 'patrick-collison'], boost: 2 }, growth: { legends: ['reid-hoffman', 'gary-vaynerchuk'], boost: 2 }, lead: { legends: ['satya-nadella', 'jeff-bezos'], boost: 2 }, manage: { legends: ['satya-nadella', 'andy-grove'], boost: 2 }, team: { legends: ['reid-hoffman', 'patrick-collison'], boost: 2 }, hire: { legends: ['paul-graham', 'reid-hoffman'], boost: 2 }, culture: { legends: ['brian-chesky', 'tobi-lutke'], boost: 2 }, market: { legends: ['seth-godin', 'gary-vaynerchuk'], boost: 2 }, brand: { legends: ['gary-vaynerchuk', 'steve-jobs'], boost: 2 }, social: { legends: ['gary-vaynerchuk', 'jack-dorsey'], boost: 2 }, // Lower confidence (life/philosophy) life: { legends: ['naval-ravikant', 'tim-ferriss'], boost: 1 }, success: { legends: ['naval-ravikant', 'tim-ferriss'], boost: 1 }, wealth: { legends: ['naval-ravikant', 'warren-buffett'], boost: 1 }, happiness: { legends: ['naval-ravikant'], boost: 1 }, decision: { legends: ['charlie-munger', 'ray-dalio', 'jeff-bezos'], boost: 2 }, think: { legends: ['charlie-munger', 'naval-ravikant'], boost: 1 }, mental: { legends: ['charlie-munger', 'naval-ravikant'], boost: 2 }, philosophy: { legends: ['naval-ravikant', 'charlie-munger'], boost: 1 }, // Question patterns that suggest advice-seeking 'should i': { legends: ['charlie-munger', 'naval-ravikant'], boost: 2 }, 'how do i': { legends: ['paul-graham', 'naval-ravikant'], boost: 2 }, 'how to': { legends: ['paul-graham', 'tim-ferriss'], boost: 1 }, 'what would': { legends: ['charlie-munger', 'warren-buffett'], boost: 2 }, 'advice': { legends: ['naval-ravikant', 'paul-graham'], boost: 2 }, }; // Questions that benefit from multiple perspectives (party mode) const PARTY_MODE_TRIGGERS = [ 'debate', 'different perspective', 'what do .* think', 'various view', 'multiple opinion', 'compare', 'contrast', 'pros and cons', 'should i .* or', 'best approach', 'trade-?off', ]; /** * Analyze a message and suggest relevant legends */ export function suggest(input) { const msg = safeString(input.message, '').toLowerCase(); if (!msg || msg.length < 5) { return { should_invoke: false, confidence: 'low', recommended_legends: [], use_party_mode: false, suggested_actions: [], primary_action: null, instruction: 'No legend recommendation for this message.', }; } // Score legends based on keyword matches const scores = new Map(); for (const [keyword, data] of Object.entries(TOPIC_MAP)) { if (msg.includes(keyword)) { for (const legendId of data.legends) { const current = scores.get(legendId) || { score: 0, reasons: [] }; current.score += data.boost; current.reasons.push(keyword); scores.set(legendId, current); } } } // Get top matches const sorted = Array.from(scores.entries()) .sort((a, b) => b[1].score - a[1].score) .slice(0, 3); // Determine confidence const topScore = sorted[0]?.[1].score || 0; let confidence = 'low'; if (topScore >= 5) confidence = 'high'; else if (topScore >= 3) confidence = 'medium'; // Check if party mode would be beneficial let usePartyMode = false; let partyModeReason = ''; for (const pattern of PARTY_MODE_TRIGGERS) { if (new RegExp(pattern, 'i').test(msg)) { usePartyMode = true; partyModeReason = `Question suggests wanting multiple perspectives (matched: "${pattern}")`; break; } } // Also suggest party mode for complex questions with multiple high-scoring legends if (sorted.length >= 2 && sorted[0][1].score >= 3 && sorted[1][1].score >= 3) { usePartyMode = true; partyModeReason = partyModeReason || 'Multiple legends have strong expertise in this area'; } // Build recommendations const allLegends = getAllLegends(); const recommended = sorted.map(([id, data]) => { const legend = allLegends.find(l => l.id === id); return { id, name: legend?.name || id, why: data.reasons.join(', '), }; }); // Build suggested actions with ready-to-use parameters const suggestedActions = []; let instruction = ''; if (recommended.length > 0 && topScore >= 2) { // Always add party_mode option if 2+ legends match if (recommended.length >= 2) { suggestedActions.push({ tool: 'party_mode', params: { question: input.message, legends: recommended.slice(0, 3).map(l => l.id), max_legends: Math.min(recommended.length, 3), }, description: `Get perspectives from ${recommended.slice(0, 3).map(l => l.name).join(', ')}`, }); } // Always add summon_legend for top match suggestedActions.push({ tool: 'summon_legend', params: { legend_id: recommended[0].id, context: input.message, }, description: `Ask ${recommended[0].name} (expert in ${recommended[0].why})`, }); // Add second legend option if available if (recommended.length >= 2) { suggestedActions.push({ tool: 'summon_legend', params: { legend_id: recommended[1].id, context: input.message, }, description: `Ask ${recommended[1].name} (expert in ${recommended[1].why})`, }); } // Always add auto_match for deeper exploration suggestedActions.push({ tool: 'auto_match', params: { question: input.message, max_matches: 3, include_prompts: false, }, description: `Deep dive: Get detailed analysis of which legends best match this question`, }); } // Determine primary action and instruction let primaryAction = null; if (suggestedActions.length > 0) { if (usePartyMode && suggestedActions.find(a => a.tool === 'party_mode')) { primaryAction = suggestedActions.find(a => a.tool === 'party_mode'); instruction = `🎯 **RECOMMENDED: Use party_mode** for multiple perspectives from ${recommended.slice(0, 3).map(l => l.name).join(', ')}.\n\nCall: \`party_mode({ question: "${input.message.slice(0, 100)}${input.message.length > 100 ? '...' : ''}", legends: ${JSON.stringify(recommended.slice(0, 3).map(l => l.id))} })\``; } else { primaryAction = suggestedActions.find(a => a.tool === 'summon_legend'); instruction = `🎯 **RECOMMENDED: Summon ${recommended[0].name}** (${recommended[0].why}).\n\nCall: \`summon_legend({ legend_id: "${recommended[0].id}", context: "${input.message.slice(0, 80)}${input.message.length > 80 ? '...' : ''}" })\``; } // Add alternatives if (suggestedActions.length > 1) { instruction += '\n\n**Alternatives:**\n'; suggestedActions.slice(0, 3).forEach((action, i) => { if (action !== primaryAction) { instruction += `${i + 1}. ${action.description}\n`; } }); } } else { instruction = 'No legend recommendation for this message.'; } return { should_invoke: topScore >= 2, confidence, recommended_legends: recommended, use_party_mode: usePartyMode, party_mode_reason: partyModeReason || undefined, suggested_actions: suggestedActions, primary_action: primaryAction, instruction, }; } /** * Format suggestion for display */ export function formatSuggestion(suggestion, originalMessage) { if (!suggestion.should_invoke) { return ''; // Return empty - no suggestion needed } const lines = [ '# 💡 Legend Suggestion', '', suggestion.instruction, '', '---', '', ]; // Show all available actions if (suggestion.suggested_actions.length > 0) { lines.push('## Ready-to-Use Actions'); lines.push(''); suggestion.suggested_actions.forEach((action, i) => { const isPrimary = action === suggestion.primary_action; lines.push(`### ${isPrimary ? '⭐ ' : ''}Option ${i + 1}: ${action.tool}`); lines.push(`${action.description}`); lines.push('```json'); lines.push(JSON.stringify(action.params, null, 2)); lines.push('```'); lines.push(''); }); } lines.push('---'); lines.push(`*Confidence: ${suggestion.confidence}* | *Legends matched: ${suggestion.recommended_legends.length}*`); if (suggestion.party_mode_reason) { lines.push(''); lines.push(`*Party mode reason: ${suggestion.party_mode_reason}*`); } return lines.join('\n'); } // MCP Tool Definition - Note the description tells Claude to use this PROACTIVELY export const suggestTool = { name: 'suggest', description: `🔮 **PROACTIVE LEGEND SUGGESTER** - Returns ready-to-execute actions! **⚡ USE THIS PROACTIVELY** on questions about: business, startups, investing, crypto, AI, leadership, decisions, life advice **HOW IT WORKS:** 1. Pass user's message → \`suggest({ message: "..." })\` 2. Get back \`primary_action\` with ready-to-use params 3. **EXECUTE the suggested action** (party_mode or summon_legend) **RETURNS READY ACTIONS:** \`\`\`json { "primary_action": { "tool": "party_mode", // or "summon_legend" "params": { ... }, // Ready to pass directly! "description": "Get perspectives from Paul Graham, Marc Andreessen" }, "suggested_actions": [ ... ], // All options "instruction": "🎯 RECOMMENDED: Use party_mode..." } \`\`\` **EXAMPLE FLOW:** \`\`\` User: "How do I raise my seed round?" 1. Call: suggest({ message: "How do I raise my seed round?" }) 2. Response includes: primary_action.tool = "party_mode" primary_action.params = { question: "...", legends: ["paul-graham", "marc-andreessen", "bill-gurley"] } 3. Execute: party_mode(primary_action.params) → Multiple legends discuss the question! \`\`\` **OR for single legend:** \`\`\` primary_action.tool = "summon_legend" primary_action.params = { legend_id: "paul-graham", context: "..." } Execute: summon_legend(primary_action.params) → Paul Graham responds in character! \`\`\` **WHEN TO USE EACH TOOL:** - **party_mode**: Complex questions, "pros/cons", "different perspectives", debates - **summon_legend**: Specific expertise needed, single mentor preferred - **auto_match**: Deep analysis, unsure which legend, want detailed matching **ALL 3 ARE ALWAYS SUGGESTED** - pick the best fit for the user's needs! DISCLAIMER: AI personas for educational purposes only.`, inputSchema: { type: 'object', properties: { message: { type: 'string', description: 'The user\'s message or question to analyze for legend relevance', }, }, required: ['message'], }, }; //# sourceMappingURL=suggest.js.map