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605,552 tools. Updated 2026-09-24 01:29

"Basic concepts and understanding of memory" matching MCP tools:

  • Save concepts and their definitions into semantic memory for targeted retrieval. Include related concepts and source details to enrich knowledge graphs.
    AGPL 3.0
  • Visualize the semantic topology of your codebase to identify which directories concentrate domain concepts, including entity counts and density, for a quick understanding of codebase layout before detailed analysis.
    MIT
  • Explain code or concepts by providing a snippet or topic with optional context, and receive clear, actionable explanations for learning, documentation, and deeper understanding using GLM.
    MIT
  • Answer a course question using course context and memory. Identify relevant concepts, infer confusion, and update mastery records.
    MIT
  • Retrieve relevant semiconductor knowledge by searching the Neo4j knowledge graph and memory with natural language queries, returning concepts, hypotheses, and decisions.
    MIT
  • Retrieves comprehensive system information including OS, kernel, CPU, memory, disk usage, and update status to provide a clear understanding of the system state.
    MIT

Matching MCP Servers

  • A
    license
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    quality
    A
    maintenance
    Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md
    17
    4,032
    AGPL 3.0

Matching MCP Connectors

  • memoryOAuth

    Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.

  • Free, keyless MCP server with 50 read-only blockchain tools for Bitcoin, Ethereum, and Mezo. No installation, no API key required -- just add the URL to your MCP client and start querying balances, transactions, blocks, ENS names, ERC-20 tokens, smart contracts, and more. Runs on Cloudflare's global edge network via Streamable HTTP. All tools are strictly read-only and stateless.

  • Store user facts, preferences, decisions, and concepts as atomic nodes in a persistent memory graph for future retrieval and reasoning.
    Apache 2.0
  • Search across all memory layers—content, decisions, mistakes, concepts, sessions, and commits—to find relevant information in writing projects.
    MIT
  • Search the Gonka documentation knowledge graph to find relevant concepts and their relationships for understanding LLM inference pricing.
    MIT
  • Get basic system information including OS, Node version, CPU, memory, hostname, and current working directory.
    -
  • Get autocomplete suggestions for partial queries to discover technical terms, memory addresses, instructions, and concepts from indexed C64 documentation.
    -
  • Run read-only SQL SELECT queries on the in-memory catalog to retrieve concepts and links, enabling targeted data inspection without modifying the OKF bundle.
    Apache 2.0
  • Walk the derivation lineage of a memory to see its ancestors and descendants in the knowledge graph, revealing the chain of reasoning from origins to derived insights.
    MIT
  • Evaluate workspace memory store health: receive a quality score, memory count, and breakdown of stale, duplicate, overlong, or never-retrieved memories. Use to diagnose memory quality problems.
    ISC
  • Search Tenzir documentation by keyword to find operators, functions, or concepts, and explore related content through cross-references for comprehensive understanding.
    Apache 2.0
  • Retrieve basic details of a specified voucher, including coin, denomination, product line, total and distributed amounts, to verify or track award information.
    MIT