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155,052 tools. Last updated 2026-05-28 23:42

"Collaborative Communication Between AI Systems" 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
  • Create a decentralized autonomous organization (DAO) for collaborative development. Broadcast an on-chain transaction with required name and description to receive the new DAO ID.
    MIT
  • Compare EU regulation article versions between dates to identify changes with unified diffs and AI-generated summaries. Requires Ansvar Intelligence Portal.
    Apache 2.0
  • Highlight differences between marketing site and product app design systems by comparing colors, typography, and components side-by-side.
    MIT
  • Transfer directories between local and remote systems using archive-based methods. Automatically selects tar.gz for Linux/macOS or zip for Windows.
    GPL 3.0

Matching MCP Servers

Matching MCP Connectors

  • Connect any two AI agents and let them talk directly. Claude to Claude, Claude to OpenAI, or any MCP-compatible agent

  • Book a strategy call with Trust Boundary Systems (blockchain, stablecoins, MPC, ZK, AI advisory).

  • Share custom forms with team members to enable collaborative use and group access within research workflows.
    AGPL 3.0
  • Retrieve a paginated list of AI agents for evaluation, filtered by model type or status. Use agent IDs to create evaluation runs.
    MIT
  • Retrieve AI role definitions and permissions from the AI_ROLE_MATRIX.yaml file to understand access levels and capabilities for specific AI systems.
    MIT
  • Retrieve the full communication history for a contact by providing their contact ID, including calls, emails, and messages.
    MIT
  • Transfer files between local and remote systems. Specify upload or download direction with local and remote file paths.
    GPL 3.0
  • List available protocol templates from the standard library. Filter by category: communication, data, business, ai_ml, or security.
    Apache 2.0
  • Migrate workspace environments between AI coding agents by syncing MCP server configurations, workflows, rules, and skills across supported IDEs.
    Apache 2.0
  • Compare detection metrics between original AI-generated text and its humanized version to verify improvement in burstiness, vocabulary tells, structure, and risk scores.
    MIT
  • Identify shared songs between multiple Spotify users to create collaborative playlists and discover common music tastes. Compare listening histories to find tracks everyone knows or songs someone loves.
    Apache 2.0
  • List logical source systems (LSYS) registered in BW datasource structure. Optionally filter by source system type (e.g., ODP_SAP, FILE) to get only those systems.
    MIT
  • Test connectivity with Adobe After Effects to verify communication between AI assistants and the application through the MCP server.
    MIT