Thronglets MCP Server

P2P shared memory substrate for AI agents — stigmergic knowledge network via libp2p

Local serverstdio

What is the Thronglets MCP server?

Connect Thronglets to Claude, Cursor or any other MCP client and it stops being a tab you switch to. P2P shared memory substrate for AI agents — stigmergic knowledge network via libp2p. The thronglets mcp server is what makes that connection.

What the server does

默认就是 standalone:不需要 Psyche,不需要 oasyce-sdk,也不需要 Oasyce Chain。这些都只是后续可选升级层。

Installation

The server ships on npm as thronglets, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • coordination — 外在协作事件
  • continuity — 低频连续性证据
  • calibration — 外在写回/校准结果
  • avoid — 最近哪里危险,不要重踩
  • context — 只有在前 3 类都缺席时才出现的 fallback
  • trace_record — 手动补写一条稀疏痕迹;Codex 可在关键编辑 / 命令 / 搜索后主动补写工具级 residue
  • substrate_query — 显式查看当前上下文的集体智慧
  • signal_post — 给未来的 agent 留一条显式信号
  • signal_feed — 浏览最近正在收敛的显式信号
  • presence_ping — 手动补发存在心跳
  • presence_feed — 查看活跃会话
  • authorization_check — 查看身份和 owner 绑定快照

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 13 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Thronglets.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Where it fits

Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Thronglets's toolset — coordination, continuity, calibration and 10 more — is a fair guide to whether it matches your workflow. It is maintained by Shangri-la-0428; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Available tools

ToolWhat it does
coordination外在协作事件
continuity低频连续性证据
calibration外在写回/校准结果
avoid最近哪里危险,不要重踩
context只有在前 3 类都缺席时才出现的 fallback
trace_record手动补写一条稀疏痕迹;Codex 可在关键编辑 / 命令 / 搜索后主动补写工具级 residue
substrate_query显式查看当前上下文的集体智慧
signal_post给未来的 agent 留一条显式信号
signal_feed浏览最近正在收敛的显式信号
presence_ping手动补发存在心跳
presence_feed查看活跃会话
authorization_check查看身份和 owner 绑定快照
trace_anchor将低频痕迹锚定到 Oasyce 区块链

How to install the Thronglets MCP server

{
  "mcpServers": {
    "thronglets": {
      "command": "npx",
      "args": ["-y", "thronglets"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Example prompts to try

  • Use Thronglets to coordination.
  • Use Thronglets to continuity.
  • Use Thronglets to calibration.

Frequently asked questions

It connects Thronglets to MCP-compatible AI assistants such as Claude and Cursor, exposing 13 tools (coordination, continuity, calibration, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Thronglets directly.