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130,276 tools. Last updated 2026-05-07 03:33

"A tool for storing and accessing shared memories across multiple Claude.ai users" matching MCP tools:

  • Retrieve all shared memory pools in the workspace, showing name, access level, member count, and memory count for collaborative agent memory spaces.
    MIT
  • Retrieve stored memories using structured filters for specific users, agents, or time periods, with pagination support for browsing results.
  • Search stored memories using natural language queries and filters to find relevant information across users, agents, or time periods.
  • Search stored conversation memories using natural language queries and filters to find relevant information across users and agents.
  • Visualize how your knowledge is organized by clustering memories with shared keywords and showing topic distribution. Generate a mindmap diagram to understand your information structure.
    AGPL 3.0

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  • Manage your Canvas coursework with quick access to courses, assignments, and grades. Track upcomin…

  • Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data

  • Generate reusable code modules for cross-workflow automation in McFlow, enabling shared functionality across multiple workflows.
  • Execute federated queries across multiple databases with different SQL dialects. Get a unified result set and per-source provenance for cross-database analysis.
  • Search memories by text across labels, descriptions, and tags. Returns live entries; optionally performs semantic search for meaning-based results.
    MIT
  • Delete memories by ID or trigger auto-forgetting based on importance, heat, and age. Preserves caveat, goal, and pinned memories to avoid accidental loss.
    MIT
  • Check if storing new memory content would duplicate existing memories. Returns matching memories with cosine similarity above the threshold, highest first. Use before memory_store to prevent redundancy.
  • Retrieve project variables and shared library variable sets for Octopus Deploy projects to manage configuration data across deployments.
    Mozilla Public 2.0
  • Create a shared context space for multiple AI agents to collaborate. Grant read/write permissions to specific agents and set tags for organization.
    MIT
  • Store team-shared information in a collective memory pool for collaborative AI agent use, enabling group decisions and project facts to persist across sessions.
    MIT
  • Update multiple memories atomically in a single transaction. Only provided fields are changed, while omitted fields keep their current values.
    MIT
  • Discover all users and agents with stored memories and their memory counts to identify system participants before conducting searches.
    MIT
  • List or search memories in a context space with optional semantic filtering. Returns up to 50 memories.
    MIT
  • Retrieve shared Python functions for security rules and detections. View descriptions, code, and metadata with pagination and filtering options.
    Python
    Apache 2.0
  • Execute multiple coding tasks simultaneously within a shared workspace, with results saved to a designated file for efficient parallel development workflows.
    MIT