{"uid":"cap_05FqHDcWRHcfB8oNxQJeO","slug":"memory-summarizer-mcp-285f910b","name":"Memory Summarizer MCP","description":"The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.","url":"https://api.m2mcent.com/memory-summarizer-mcp/api/process?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_SqmgJLUZWx7HYXCzUaOKx","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Summarizes and condenses memory or text data for AI agents, reducing token usage while preserving key context","exampleAgentPrompt":"Summarize this accumulated conversation history and memory so it fits within a smaller context window without losing the important details: [paste your memory text here].","exampleUseCases":[{"title":"Long-running agent context compression","prompt":"My AI agent has been running for a while and the context window is getting full — can you summarize all this accumulated memory and conversation history into something much shorter that still captures the key facts?"},{"title":"Summarizing chatbot session history","prompt":"I have a multi-turn customer support chat log that's getting too long. Summarize it down to the essential points so I can pass it as context to the next session without hitting token limits."},{"title":"Distilling research notes for agent recall","prompt":"Here are the raw notes my research agent collected over the last hour. Condense them into a compact memory summary that the agent can reference quickly in future steps."}],"resultDescription":"A condensed, summarized version of the input text or memory content, preserving key information while significantly reducing length and token count.","failureModes":["Empty or missing 'data' field returns an error","Extremely large input may time out or be truncated","Non-text or binary input may not be processed correctly","Ambiguous or very short input may yield a trivially short summary","Payment failure (x402) if USDC balance is insufficient"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to compress accumulated memory or long text to fit within a context window, when token costs need to be reduced for downstream LLM calls, or when a concise distillation of session history is needed for handoff between agent steps.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:03:00.204Z","isFirstParty":false,"canonicalSlug":"memory-summarizer-mcp-285f910b"}