Skip to main content
Glama
adityarya24

MindSync MCP

by adityarya24
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to MindSync MCP

No user-submitted related servers found.

    Related Servers

    • Agent Nudge

      manazoid4
      A
      license
      Not graded
      quality
      A
      maintenance
      A local-first MCP server for AI coding agents that shares structured execution state, routes context deltas, and provides preflight nudges to prevent conflicts and stale decisions.
      MIT
    • STMA by Matte-AI-LLC

      STMAofficial

      Matte-AI-LLC
      F
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that enables AI coding agents to coordinate by sharing environment snapshots and diffs, surfacing overlapping work, exchanging debug-session messages, handing off tasks, and enforcing policy preflight checks.
      -

    • MemoSaver

      akufikri
      A
      license
      Not graded
      quality
      B
      maintenance
      Local-first MCP server that persists AI coding agent memory and session context, enabling seamless resume across sessions with searchable memories and checkpoints.
      7 npm
      1
      MIT

    • memory-ai-local

      Hsoley1
      F
      license
      Not graded
      quality
      C
      maintenance
      A local-first MCP server that manages developer memory for coding agents, enabling shared project context, permissions, and audit trails across different agents.
      1
      -
    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

    C2.9/5.0

    Scored across 16 tools

    Disambiguation3/5

    Several tool pairs blur together: get_sync_context and pull_truth both pull remote truth, memory_bootstrap and memory_recall both retrieve memory, and route_task plus get_orchestration_policy both serve delegation decisions. The descriptions help clarify intent, but an agent could easily select the wrong tool when aiming for a sync or memory operation.

    Naming Consistency3/5

    Naming follows three conventions: verb_noun for most sync/delegation tools (queue_durable_fact, sync_offline_facts, delegate_task), bare nouns for infrastructure tools (health, job, events, session, list), and a memory_ prefix group (memory_bootstrap, memory_recall, memory_consolidation). Each pattern is readable on its own, but the mix makes the overall surface feel inconsistent.

    Tool Count3/5

    At 16 tools, this sits at the start of the heavy band (16-25) and spans four distinct domains: sync/facts, memory, delegation/orchestration, and events. The breadth is defensible for a unified agent-sync server, but several tools could have been consolidated, pushing it slightly past a well-scoped 3-15 tool set.

    Completeness4/5

    Core lifecycles are well covered: offline fact queueing and flushing, memory sessions with consolidation undo, delegation preview/execute with job lifecycle, and event pub/sub. Minor gaps exist, such as a read-only orchestration policy with no setter, no way to delete a durable fact, and no offline-queue inspection beyond depth in health, but agents can work around these.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

    Resources