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Implements query composition to support complex filters (e.g., 'Ethereum opportunities with >10% APY and <$1M TVL') without requiring the LLM to construct raw API calls.","intents":["I want Claude to find Merkl opportunities matching specific criteria (chain, APY, risk level)","I need to filter opportunities by user wallet address or token holdings","I want to search for opportunities on a specific blockchain or protocol"],"best_for":["LLM agents building yield recommendation systems","Portfolio managers querying opportunities programmatically","DeFi dashboards integrating Merkl data with Claude insights"],"limitations":["Filter capabilities limited to Merkl API's supported query parameters — cannot filter by custom metrics not exposed by Merkl","No full-text search across opportunity descriptions — only structured field filtering","Real-time data freshness depends on Merkl API update frequency (typically 1-5 minute lag)","No historical opportunity data — only current/active opportunities available"],"requires":["MCP server running with Merkl tools registered","Merkl API access with sufficient rate limits","Claude or MCP client capable of invoking tools with parameters"],"input_types":["filter parameters: chain (string), token (address), minAPY (number), maxAPY (number), minTVL (number), maxTVL (number), protocol (string), riskLevel (string)"],"output_types":["filtered opportunity list (JSON array of opportunity objects)","opportunity metadata (APY, TVL, protocol, incentive schedule, audit status)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-merkl-mcp__cap_3","uri":"capability://memory.knowledge.merkl.opportunity.context.injection.for.llm.reasoning","name":"merkl opportunity context injection for llm reasoning","description":"Formats Merkl opportunity data (APY, TVL, protocol, risk metrics, incentive schedules) into structured context that Claude can reason over, enabling the LLM to compare opportunities, assess risk-adjusted returns, and generate recommendations. 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