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606,818 tools. Updated 2026-09-24 11:36

"Hybrid Memory Models Combining Relational, Graph, and RAG Approaches" matching MCP tools:

  • Perform semantic search over a stored memory namespace to retrieve the most relevant entries. Use this to recall context for RAG pipelines.
    MIT
  • Search verified project memory to retrieve past decisions, conventions, gotchas, and invariants before exploring the codebase. Filter by type, path, or verification status to answer quickly and avoid repeating failed approaches.
    MIT
  • Retrieve current connection status, latency, and version details for Memory Server, RAG Server, and Google services to verify service availability.
    MIT
  • Search hierarchical memory using hybrid ranking to retrieve facts prioritized by user, team, and org precedence.
    Apache 2.0
  • Verify RAG and Memory server availability, including collection and schema auto-creation status. Use detailed mode for protocol and latency details.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to use a hybrid dense+sparse RAG system with tag-based long-term memory (importance, knowledge-type decay, access-frequency boost) via MCP tools for document ingestion, hybrid search, staged reranking, forgetting, and index management.
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    An MCP server that provides a search_docs tool with hybrid retrieval (BM25 + dense vectors) and cross-encoder reranking, backed by evaluation, prompt-injection guardrails, and OpenTelemetry tracing.
    1
    MIT

Matching MCP Connectors

  • The Graph MCP — indexed blockchain data via subgraph GraphQL queries

  • RAG-as-a-service MCP sunucusu — çok-kiracılı koleksiyon yönetimi, metin ingest (chunk+embed+upsert,…

  • Manage and query an entity-relationship knowledge graph for structured facts. Search modes include hybrid, semantic, and keyword to discover relationships between concepts, tools, and patterns.
    MIT
  • Store durable memories in a graph for RAG recall later. Connect related facts and decisions with links to build a searchable knowledge base.
    MIT
  • Perform hybrid web searches combining broad coverage with technical documentation focus. Choose between general web search or documentation-optimized mode to get relevant results with titles, URLs, and snippets.
    MIT
  • Retrieve relevant subgraphs from the memory graph to answer questions using prior context, preferences, and decisions. Uses hybrid retrieval for robust fallback.
    Apache 2.0
  • Sync vector store data to relational tables, making relational queries up to date after document ingestion. Idempotent operation.
    MIT
  • Ranks natural-language query results by combining semantic vector scores with graph centrality and proximity, using hybrid or personalized PageRank modes. Returns explainable ranked lists for Swift codebase knowledge graph queries.
    Elastic 2.0
  • Search your personal knowledge vault using hybrid retrieval that combines semantic search, keyword matching, and knowledge graph traversal. Returns cited passages from your notes.
    MIT
  • Find memories related to a given one by analyzing wiki-links, backlinks, tags, type, and content similarity. Navigate the memory graph through associations.
    MIT
  • Retrieve relevant past decisions, patterns, and bug fixes from persistent memory using hybrid recall across vectors, keyword search, and knowledge graph enrichment.
    MIT
  • Retrieve a focused subgraph of memories to answer a question, avoiding context flooding by walking the graph from hybrid search results within a token budget.
    PolyForm Noncommercial 1.0.0
  • List all IFC models loaded in memory to see which building models are available for querying and analysis.
    MIT
  • Retrieves and compresses relevant memory from a knowledge graph into a compact context pack, resolving conflicts and staying within a token budget for the current task.
    Apache 2.0
  • Delete specific data items, entire datasets, or all stored memory across relational, graph, and vector databases.
    Apache 2.0