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    • A
      license
      A
      quality
      C
      maintenance
      A Model Context Protocol server that exposes a MeshCore node and the mesh reachable through it as a clean, high-signal interface for AI agents or tools.
      30
      16 npm
      2
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients to discover and create agents, durably submit messages with verifiable replies, and search source-linked local memory. Exposes eight authenticated tools with owner-approved OAuth, transcript-backed verification, and explicit control over history import and embedding.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Provides a Model Context Protocol server with tools for knowledge base search, retrieval, and addition, plus system time, resources, and prompts. Supports stdio and Streamable HTTP transports for local and shared deployments.
      4
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP-compatible agents such as Claude and Cursor to retrieve permission-aware, structured context from local or hosted data stores. Exposes tools for semantic search, entity and relationship lookup, memory access, context pack compilation, source attribution, and retrieval explanation.
      1
      Apache 2.0

    TDQS

    A3.9/5.0

    Scored across 24 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes (ctx_save vs ctx_search vs ctx_get vs ctx_list), and the context CRUD tools are well separated. However, there is a notable cluster of session/keyboard-overlapping tools: agent_checkpoint and agent_resume both expose session state, agent_task_upsert and goal_add both handle tasks, and agent_task_tick and goal_advance both flip task status. The descriptions do clarify the session-scoped vs board-level distinction, but a less attentive agent could still misselect.

    Naming Consistency4/5

    The set uses a consistent snake_case convention throughout (ctx_save, agent_boot, goal_add). There is a minor inconsistency in grouping prefixes: context tools use ctx_, agent tools use agent_, and goal tools use goal_ without the agent_ prefix, but all follow a verb_noun or verb_noun_qualifier pattern. The only deviation is a few compound names like agent_task_upsert and ctx_load_tool_group that are slightly more verbose, which is acceptable.

    Tool Count3/5

    24 tools is at the upper end of the reasonable range and borderline heavy for the core purpose of context/memory management. The set is further expanded by meta-tools (ctx_tool_groups, ctx_load_tool_group) that hint at even more tools behind a loading mechanism, making the actual surface feel bloated. A leaner consolidation of session and goal tools could improve usability.

    Completeness5/5

    The surface provides comprehensive coverage for its domain: full CRUD on context entries (save/search/list/get/update/delete), statistics, health checks, memory extraction, agent session lifecycle (start/end/boot/resume/checkpoint/handoff), task management, and goal graph operations. There are no obvious gaps for the stated purpose, and the tool-group mechanism offers a path to additional features without cluttering the default set.