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The system stores entities, relationships, and contextual metadata in a graph format, allowing Claude to retrieve and reason over accumulated knowledge without re-sending full conversation history. Uses MCP's resource and tool protocols to expose memory operations as callable functions that Claude can invoke during reasoning.","intents":["I want Claude to remember facts and context across separate conversations without me manually providing history","I need to build a multi-turn agent that learns and accumulates knowledge about a domain over time","I want to enable Claude to reason over a structured knowledge base that grows with each interaction"],"best_for":["developers building long-running Claude agents that need persistent state","teams implementing multi-turn conversational systems with memory requirements","builders creating knowledge management systems where Claude is the reasoning layer"],"limitations":["Graph structure and query performance scales with knowledge base size — no built-in pagination or pruning strategies documented","Memory operations are synchronous through MCP protocol — high-latency graph queries may block Claude's reasoning loop","No built-in conflict resolution for concurrent updates from multiple Claude instances accessing the same knowledge graph","Requires external persistence layer — the MCP server itself doesn't specify how graph data is durably stored"],"requires":["Node.js 16+ (MCP SDK requirement)","Claude API access with MCP client support (Claude 3.5+)","MCP client implementation to connect Claude to the server"],"input_types":["natural language queries from Claude","structured entity/relationship definitions","graph update operations (add/remove nodes and edges)"],"output_types":["graph query results (entities, relationships, paths)","structured memory state snapshots","confirmation of memory mutations"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-memory__cap_1","uri":"capability://tool.use.integration.mcp.compliant.memory.resource.exposure","name":"mcp-compliant memory resource exposure","description":"Exposes the knowledge graph as an MCP resource that Claude can read and write through the Model Context Protocol's resource and tool interfaces. 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Implements graph mutation operations that allow Claude to extract facts from conversations and persist them as structured entities with typed relationships. Uses a graph data model where entities have properties and relationships have semantic labels, enabling Claude to build domain-specific knowledge representations incrementally.","intents":["I want Claude to extract key facts from conversations and store them as reusable entities","I need Claude to build relationships between entities so it can reason over connected knowledge","I want to enable Claude to update or extend existing entities with new properties as it learns more"],"best_for":["developers building knowledge extraction pipelines where Claude is the extraction engine","teams implementing semantic knowledge bases that grow from conversational interactions","builders creating domain-specific reasoning systems that require explicit entity-relationship modeling"],"limitations":["No built-in schema enforcement — entities and relationships can be created with arbitrary properties, risking knowledge graph inconsistency","No deduplication logic — Claude may create duplicate entities if not explicitly prompted to check for existing entities","Graph mutation operations are not transactional — partial failures in multi-step entity creation could leave the graph in inconsistent state"],"requires":["Node.js 16+","MCP server runtime","Claude with ability to call MCP tools"],"input_types":["entity creation requests (name, type, properties)","relationship creation requests (source entity, target entity, relationship type, metadata)"],"output_types":["entity IDs (for reference in subsequent operations)","relationship confirmations","updated graph state"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-memory__cap_3","uri":"capability://memory.knowledge.graph.query.and.retrieval.for.context.injection","name":"graph query and retrieval for context injection","description":"Implements query operations that allow Claude to retrieve relevant entities, relationships, and subgraphs from the knowledge graph to inject into its reasoning context. Supports entity lookup by ID/name, relationship traversal, and potentially graph pattern matching to find connected knowledge relevant to the current task. Results are serialized into natural language or structured formats that Claude can consume as additional context during inference.","intents":["I want Claude to retrieve relevant facts from memory when answering a question","I need Claude to find all entities related to a given entity through relationship traversal","I want to inject memory context into Claude's prompt automatically based on the current conversation topic"],"best_for":["developers building retrieval-augmented generation (RAG) systems with structured knowledge","teams implementing context-aware agents that need to pull relevant memory before reasoning","builders creating domain assistants that should reference accumulated knowledge"],"limitations":["Query performance depends on graph size and structure — no indexing strategy documented for large graphs","No built-in semantic similarity for entity retrieval — queries require exact name/ID matches or explicit relationship traversal","Result serialization format not specified — unclear how complex subgraphs are formatted for Claude consumption","No query result ranking or relevance scoring — all matching results returned equally"],"requires":["Node.js 16+","MCP server runtime","Populated knowledge graph (from entity/relationship creation)"],"input_types":["entity ID or name","relationship type filters","traversal depth parameters"],"output_types":["entity objects with properties","relationship lists","subgraph representations","natural language summaries"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-memory__cap_4","uri":"capability://memory.knowledge.multi.turn.conversation.memory.accumulation","name":"multi-turn conversation memory accumulation","description":"Enables the knowledge graph to accumulate facts and context across multiple separate Claude conversations without requiring manual state management. The MCP server maintains persistent graph state between conversations, allowing Claude to reference and build upon knowledge from previous interactions. Implements conversation-scoped memory operations where Claude can query what it learned in prior turns and add new facts that persist for future conversations.","intents":["I want Claude to remember things I told it in a previous conversation","I need Claude to build a growing knowledge base over many conversations without me managing state","I want Claude to reference 'what we discussed last time' without me providing that context"],"best_for":["developers building long-running chatbots or assistants with memory","teams implementing multi-session user agents that should improve over time","builders creating personalized AI experiences where Claude learns user preferences and context"],"limitations":["No built-in conversation isolation — all conversations share the same knowledge graph, risking cross-contamination of context","No temporal tracking — unclear how to distinguish facts from different time periods or conversation sessions","No user/session scoping documented — unclear how multi-user scenarios are handled","Memory growth is unbounded — no automatic pruning or archival of old facts"],"requires":["Node.js 16+","MCP server with persistent storage backend","Claude with MCP client support","Durable storage for knowledge graph (database, file system, etc.)"],"input_types":["entity/relationship mutations from multiple conversations","query requests across conversation boundaries"],"output_types":["accumulated knowledge graph state","context summaries for new conversations"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-modelcontextprotocolserver-memory__cap_5","uri":"capability://tool.use.integration.mcp.server.lifecycle.and.connection.management","name":"mcp server lifecycle and connection management","description":"Implements the MCP server runtime that handles Claude client connections, request routing, and protocol compliance. Manages server initialization, resource discovery, tool registration, and graceful shutdown. Handles the bidirectional communication protocol between Claude and the memory server, including request/response serialization and error handling through MCP's standard message formats.","intents":["I want to run a memory server that Claude can connect to via MCP","I need the memory server to properly initialize and advertise its capabilities to Claude","I want the server to handle multiple Claude requests concurrently without losing state"],"best_for":["developers deploying MCP servers in production","teams integrating Claude with custom backend services","builders who need reliable server-client communication for memory operations"],"limitations":["No built-in clustering or horizontal scaling — single server instance is a potential bottleneck","No health check or monitoring endpoints documented — unclear how to verify server health in production","Error handling and retry logic not specified — unclear how transient failures are handled","No authentication/authorization layer documented — all Claude clients can access all memory operations"],"requires":["Node.js 16+","@modelcontextprotocol/sdk package","MCP client on Claude's side (Claude 3.5+)"],"input_types":["MCP protocol messages (JSON-RPC format)"],"output_types":["MCP protocol responses","resource listings","tool definitions"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ (MCP SDK requirement)","Claude API access with MCP client support (Claude 3.5+)","MCP client implementation to connect Claude to the server","MCP SDK for Node.js (@modelcontextprotocol/sdk)","Claude 3.5+ with MCP client support","Understanding of MCP resource and tool schemas","Node.js 16+","MCP server runtime","Claude with ability to call MCP tools","Populated knowledge graph (from entity/relationship creation)"],"failure_modes":["Graph structure and query performance scales with knowledge base size — no built-in pagination or pruning strategies documented","Memory operations are synchronous through MCP protocol — high-latency graph queries may block Claude's reasoning loop","No built-in conflict resolution for concurrent updates from multiple Claude instances accessing the same knowledge graph","Requires external persistence layer — the MCP server itself doesn't specify how graph data is durably stored","MCP resource protocol is read-heavy — write operations may require custom tool definitions beyond standard resource semantics","No built-in versioning or audit logging of memory mutations through MCP protocol","Requires MCP client on Claude's side — not compatible with basic REST API integrations","No built-in schema enforcement — entities and relationships can be created with arbitrary properties, risking knowledge graph inconsistency","No deduplication logic — Claude may create duplicate entities if not explicitly prompted to check for existing entities","Graph mutation operations are not transactional — partial failures in multi-step entity creation could leave the graph in inconsistent state","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.3,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.904Z","last_scraped_at":"2026-05-03T14:23:42.211Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-modelcontextprotocolserver-memory","compare_url":"https://unfragile.ai/compare?artifact=npm-modelcontextprotocolserver-memory"}},"signature":"VLqyPcApJ+IEHOrSdYshuSFlOEsxytRiBB86gS6zyUBNVPhMyO4lwGZgIE/z6PNgGukbgrMpt/r+KoGznDVbBg==","signedAt":"2026-06-20T23:36:59.966Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-modelcontextprotocolserver-memory","artifact":"https://unfragile.ai/npm-modelcontextprotocolserver-memory","verify":"https://unfragile.ai/api/v1/verify?slug=npm-modelcontextprotocolserver-memory","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}