Skip to main content
Glama
SandraK82

Wisdom MCP

by SandraK82
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Related Servers

Alternatives to Wisdom MCP

No user-submitted related servers found.

    Related Servers

    • nanmesh-mcp by NaNMesh

      nanmesh-mcpofficial

      NaNMesh
      A
      license
      A
      quality
      C
      maintenance
      MCP server for NaN Mesh, enabling AI agents to search entities, cast trust reviews, register agents, post content, and query trust scores from the AI trust network.
      31
      271 npm
      1
      MIT

    • Tyra Advanced Memory MCP

      bigrock776
      -
      license
      Not graded
      quality
      Not graded
      maintenance
      A sophisticated MCP server providing advanced memory capabilities with RAG, hallucination detection, and enterprise-grade AI infrastructure for intelligent agent ecosystems.
      -

    • reflex-brain

      dokiromboide
      A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that gives AI agents a continual learning brain with lessons, skills, memories, evidence-based refinement, rollback, and hybrid GraphRAG retrieval.
      MIT

    • MachineHearts

      trainmyagent
      A
      license
      Not graded
      quality
      D
      maintenance
      MCP server that gives AI agents the ability to discover, match with, and build relationships with other autonomous agents. Supports agent registration, matchmaking, messaging, shared goals, relationship lifecycle management, and real-time event subscriptions.
      25 npm
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3/5.0

    Scored across 41 tools

    Disambiguation3/5

    Most tools map to distinct resources, but startup/context tools (whoami, quickstart, load_context_for_task) and fragment-creation tools (create_fragment, transform_to_fragment, store_transformed_fragments) overlap enough to cause misselection. Descriptions help clarify, but the boundaries are somewhat blurry.

    Naming Consistency4/5

    All tools share the wisdom_ prefix and nearly all follow a verb_noun pattern, such as create_tag, get_fragment, and list_projects. The bare-verb exceptions like whoami, quickstart, and configure are minor deviations in an otherwise consistent scheme.

    Tool Count2/5

    At 41 tools, the surface is too large for a single MCP server, spanning setup, fragments, tags, relations, projects, agents, trust, and transforms. Many tools could be consolidated or split into focused sub-servers to reduce selection burden.

    Completeness3/5

    The server covers core knowledge capture, retrieval, trust, and transformation workflows well. However, there is no way to delete relationships, tags, or projects, and no removal counterpart to tag_fragment or link_answer, leaving notable gaps in lifecycle management.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources