Skip to main content
Glama
TetreesEX

Tetrees AI

Official
by TetreesEX

Related Servers

Alternatives to Tetrees AI

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Agent network intelligence for trust verification, broker discovery, and capability matching. Ed25519 identity, graph-based trust scoring, USDC payments, and MCP tools for agent registration, search, and trust attestation.
      284 npm
      5
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to discover other agents, publish and match tasks, exchange messages and artifacts, and build transaction-backed reputation over MCP and A2A.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Persistent memory graph, knowledge marketplace, and MCP tool gateway for autonomous AI agents. Agents store experiences, trade knowledge via micropayments, and discover capabilities across the Hive network.
      4 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server for autonomous agent minting, crossbreeding, and evolution. Mint new AI agents with genetic lineage tracking, cross-breed capabilities between agents, run evolution cycles, and discover complementary agents in the HiveBazaar marketplace.
      MIT

    TDQS

    A3.7/5.0

    Scored across 26 tools

    Disambiguation5/5

    Each tool targets a distinct resource/action: acquisition, terms, drafts, audition, growth, runtime, and reporting. Tools that sound similar, such as the two report tools, are clearly separated by buyer-facing versus owner-only scope.

    Naming Consistency5/5

    The overwhelming majority use a consistent snake_case verb_noun pattern with the ai_pack domain prefix. The few exceptions like list_agent_models and execute_client_extension still follow the same general verb_noun style, so there is no real convention clash.

    Tool Count3/5

    At 26 tools, the server is on the heavy side and may feel dense. However, the volume is largely justified by the broad AI Pack lifecycle spanning drafting, auditing, publishing, runtime execution, and growth management.

    Completeness4/5

    The surface covers the main lifecycle well: create, upload, audition, publish, run, grow, search, acquire, download, and report. Notable minor gaps include no explicit delete/revoke tool for drafts or entitlements and no direct paid-pack purchase flow, but most core workflows are complete.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive