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127,264 tools. Last updated 2026-05-05 12:28

"Techniques for Enhancing Memory and Augmenting Cognitive Thinking" matching MCP tools:

  • Retrieve a meta-view of your engagement with a domain over time: total conversations, thinking stage distribution, importance peaks, and cognitive patterns.
    MIT
  • Reconstruct your cognitive state for any domain: retrieve where you left off, including thinking stage, open questions, decisions, concepts, and emotional tone to resume your train of thought.
    MIT
  • Analyze thinking process statistics to track cognitive patterns and reasoning performance within memory management systems.
    MIT
  • Change thinking processes between analytical, intuitive, creative, critical, or meta-cognitive modes to adapt reasoning approaches for different tasks.
    MIT
  • Monitor cognitive memory metrics including short-term and long-term memory counts, strength levels, and retrieval statistics for AI agents.

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  • Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…

  • AI memory with 56 tools. Knowledge Graph, semantic search, OAuth 2.1 + Magic Link. Free tier.

  • Retrieve information from cognitive memory using RAG queries across short-term and long-term memory stores, triggering rehearsal on relevant results.
  • Retrieve all shared memory pools in the workspace, showing name, access level, member count, and memory count for collaborative agent memory spaces.
    MIT
  • Monitors OpenSIPS shared-memory and per-process package-memory usage to detect out-of-memory errors and module leaks. Tracks shm for cross-process state and pkg for private memory, preventing silent call failures.
  • Retrieve full MITRE ATLAS records for up to 50 techniques in a single request, reducing API calls. Accepts an array of technique IDs and returns per-item status with detailed info.
    MIT
  • Record numbered thinking steps for structured reasoning, enabling complex problems to be broken into sequential steps with branching and revision. Manage session history, reset when needed, and finalize to persist outcomes to Memory Bank.
    MIT
  • Clear the current thinking session to start fresh with a new problem when previous reasoning becomes irrelevant.
    MIT
  • Adjust runtime server settings like model selection, thinking depth, and temperature to optimize video research and analysis performance.
    MIT
  • Search the MITRE ATLAS catalog for AI/ML attack techniques using keyword, tactic, or maturity filters. Returns results with technique IDs, names, and descriptions to identify threats targeting AI systems.
    MIT
  • Retrieve past sessions using natural language queries. Matches fuzzy time references and project names, returns problem-fix episodes, code diffs, and thinking blocks in a single call.
    MIT
  • Retrieve detailed product specifications including available placements, printing techniques, sizes, colors, and design requirements for Printful catalog items.
    MIT
  • Retrieve match telemetry for both teams: total tokens consumed, per-turn thinking time, number of tool calls, and turn count. Use for post-game analysis or mid-game cost monitoring.