原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Agent Mesh

作者:google版本 0.2.0i★ –i在你的电脑上运行
注册名称io.github.google/agentmesh

安装

概览

作者提供的说明(英文原文)

Discover and call remote MCP tools as your own authenticated Agent Mesh member.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:AGENTMESH_CONTROL_PLANE_URL, AGENTMESH_BOOTSTRAP_TOKEN_PATH, AGENTMESH_JWT_PATH

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: AGENTMESH_CONTROL_PLANE_URL, AGENTMESH_BOOTSTRAP_TOKEN_PATH, AGENTMESH_JWT_PATH, AGENTMESH_STATE_DIR, AGENTMESH_INSECURE_CONTROL_PLANE

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "agentmesh": {
      "command": "npx",
      "args": [
        "-y",
        "@agentmesh-p2p/sdk"
      ],
      "env": {
        "AGENTMESH_CONTROL_PLANE_URL": "your-value",
        "AGENTMESH_BOOTSTRAP_TOKEN_PATH": "your-value",
        "AGENTMESH_JWT_PATH": "your-value",
        "AGENTMESH_STATE_DIR": "your-value",
        "AGENTMESH_INSECURE_CONTROL_PLANE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add agentmesh --env AGENTMESH_CONTROL_PLANE_URL=your-value --env AGENTMESH_BOOTSTRAP_TOKEN_PATH=your-value --env AGENTMESH_JWT_PATH=your-value --env AGENTMESH_STATE_DIR=your-value --env AGENTMESH_INSECURE_CONTROL_PLANE=your-value -- npx -y @agentmesh-p2p/sdk

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "agentmesh": {
      "command": "npx",
      "args": [
        "-y",
        "@agentmesh-p2p/sdk"
      ],
      "env": {
        "AGENTMESH_CONTROL_PLANE_URL": "your-value",
        "AGENTMESH_BOOTSTRAP_TOKEN_PATH": "your-value",
        "AGENTMESH_JWT_PATH": "your-value",
        "AGENTMESH_STATE_DIR": "your-value",
        "AGENTMESH_INSECURE_CONTROL_PLANE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "agentmesh": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@agentmesh-p2p/sdk"
      ],
      "env": {
        "AGENTMESH_CONTROL_PLANE_URL": "your-value",
        "AGENTMESH_BOOTSTRAP_TOKEN_PATH": "your-value",
        "AGENTMESH_JWT_PATH": "your-value",
        "AGENTMESH_STATE_DIR": "your-value",
        "AGENTMESH_INSECURE_CONTROL_PLANE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • AGENTMESH_CONTROL_PLANE_URL 必填 env
    Control plane URL supplied by your mesh operator. HTTPS is required beyond loopback unless explicitly permitted below.
  • AGENTMESH_BOOTSTRAP_TOKEN_PATH 机密 env
    Absolute path to a bootstrap token file for first enrollment. Set this OR AGENTMESH_JWT_PATH; leave both empty only when resuming saved credentials.
  • AGENTMESH_JWT_PATH 机密 env
    Absolute path to an OIDC/workload token file. Alternative to the bootstrap token; reread during credential refresh.
  • AGENTMESH_STATE_DIR env
    Absolute directory for this client identity. Use a distinct directory per client and mesh. If omitted, uses ~/.config/agentmesh/mcp.
  • AGENTMESH_INSECURE_CONTROL_PLANE env
    Allow plaintext HTTP beyond loopback. Development only: exposes enrollment traffic to the network.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 google 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32364 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32364 个服务器的 89% 更新
  • 基础检查结果等于或优于此分类中其他 32364 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Agent Mesh 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:AGENTMESH_CONTROL_PLANE_URL, AGENTMESH_BOOTSTRAP_TOKEN_PATH, AGENTMESH_JWT_PATH

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.2.0)于3天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, AlphaGrowth

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

AlphaGrowth

作者:alphagrowth.io

Free crypto data for AI agents: TVL, fees, funding, investors, yields, token unlocks, DAO treasuries

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

@agentmesh-p2p/sdk

Native JavaScript SDK for joining an Agent Mesh from inside the agent process. It replaces the agentmesh-node sidecar for agents written for Node.js or running in a browser page: the agent enrolls with the control plane, joins the mesh through a router, finds services and calls them, answers A2A requests for the agent itself, and follows the control plane's keys, bans and policy while it runs. It publishes no service; a tool or a model others should find by name runs behind a agentmesh-node.

Guide: google.github.io/agentmesh/docs/guides/native-sdks, from an empty machine to two programs on a mesh. Source: github.com/google/agentmesh/tree/main/sdk/js.

Install

npm install @agentmesh-p2p/sdk @modelcontextprotocol/sdk zod

Requires Node.js 22.18 or later. In a browser, bundle it with the page (the package's browser field selects the browser files); the guide's In a browser section has the details and an example page.

MCP client over stdio

The package's agentmesh executable joins as its own mesh member and exposes five MCP tools: get_mesh_info, discover_remote_services, find_remote_tools, describe_remote_tool and call_remote_tool. A stdio-capable MCP client starts and stops the process; no node daemon is needed for this caller. Providers still publish their services through agentmesh-node.

To try the executable from a source checkout:

cd sdk/js

npm ci npm run build

Use absolute paths in your MCP client's configuration:

{

"mcpServers": { "agentmesh": { "command": "node", "args": ["/absolute/path/to/agentmesh/sdk/js/dist/cli.js"], "env": { "AGENTMESH_CONTROL_PLANE_URL": "https://your-control-plane.example", "AGENTMESH_BOOTSTRAP_TOKEN_PATH": "/absolute/path/to/join-token", "AGENTMESH_STATE_DIR": "/absolute/path/to/this-client-identity" } } } }

Get the control plane URL and token file from your mesh operator or agentmesh-one. Alternatively, set AGENTMESH_JWT_PATH to a workload/OIDC token file; do not set both token paths. Credentials are read from files, never command-line values.

The first run enrolls and saves its identity; later runs resume from the state directory without the bootstrap token. JWT enrollment rereads the token file when refreshing. Use a distinct state directory for each client identity and mesh; do not run multiple processes against the same directory. The default is ~/.config/agentmesh/mcp. Plain HTTP is allowed on loopback only unless AGENTMESH_INSECURE_CONTROL_PLANE=true explicitly permits it elsewhere.

Stdout contains only MCP messages; diagnostics go to stderr. Closing stdin or sending SIGINT/SIGTERM shuts down the mesh session. Tool calls use the member's existing authenticated streams and policy, including provider label checks. Remote tool results retain text, non-text content, structured output and errors. Discovery follows tool pagination, rejects looping catalogs and bounds each search to 64 providers, 256 services per provider, 256 tools per service and 1024 results. Requests have a 10-second deadline; narrow a large search by peer or service. intent is accepted but ignored, matching the node's current tool.

This member publishes no services, so it has no list_local_services tool. Inference and A2A discovery return metadata, but this executable provides no HTTP proxy, /v1 endpoint, local socket or local_proxy_url. Use an SDK client or an agentmesh-node HTTP proxy to invoke those protocols.

Use

Both programs below are in examples/ and run against a real mesh in the repository's tests. They read the mesh from AGENTMESH_CONTROL_PLANE_URL and the enrollment token from AGENTMESH_BOOTSTRAP_TOKEN_PATH; the guide shows how to get both from agentmesh-one or from the operator of an existing mesh.

Find a service and call it:

// Calls something on the mesh: a tool of an MCP service or a path of an

// inference or A2A service someone published, found by name, or an agent that // published nothing, reached by its peer ID. // // node call.js mcp://everything echo '{"message": "hi"}' // node call.js inference://ollama /v1/models // node call.js 12D3KooW... a2a://agent /card // // AGENTMESH_CONTROL_PLANE_URL names the mesh. The first run enrolls with the file // AGENTMESH_BOOTSTRAP_TOKEN_PATH (a token the mesh operator gave you) or // AGENTMESH_JWT_PATH (a workload identity token your platform issues, such as a // Kubernetes projected service account token), and keeps the identity and // credential in AGENTMESH_STATE_DIR; later runs resume from there without it. import { homedir } from "node:os"; import { AgentMesh, type DiscoveredProvider } from "@agentmesh-p2p/sdk";

let argv = process.argv.slice(2); // A first argument that is not a service target is the peer ID of an agent. let peerId: string | undefined; if (argv[0] !== undefined && !argv[0].includes("://")) { [peerId, ...argv] = argv as [string, ...string[]]; } const [service = peerId !== undefined ? "a2a://agent" : "mcp://everything", toolOrPath = peerId !== undefined ? "/card" : "echo", args = '{"message": "hi"}'] = argv;

const mesh = await AgentMesh.enroll({ controlPlaneUrl: process.env.AGENTMESH_CONTROL_PLANE_URL ?? "https://mesh.example.com", bootstrapTokenPath: process.env.AGENTMESH_BOOTSTRAP_TOKEN_PATH, jwtPath: process.env.AGENTMESH_JWT_PATH, stateDir: process.env.AGENTMESH_STATE_DIR ?? ${homedir()}/.config/agentmesh/caller, // A plaintext http:// control plane is otherwise accepted only on loopback. allowInsecure: process.env.AGENTMESH_INSECURE_CONTROL_PLANE === "true", }); const session = await mesh.join(); console.log(on the mesh as ${session.peerId});

// The peer to call: an agent named by ID, or a provider of a published service. let provider: DiscoveredProvider = { peerId: peerId ?? "", addrs: [] }; if (peerId !== undefined) { // An agent is not in the discovery table; the SDK finds the path to its // peer ID through the routers. await session.connect(peerId); } else { const providers = await session.discover(service); if (providers.length === 0) { throw new Error(no member of the mesh serves ${service}); } // A provider record can outlive its member; the first that answers is used. let reached = false; for (const candidate of providers) { try { await session.connect(candidate); provider = candidate; reached = true; break; } catch (err) { console.error(${candidate.peerId}: ${(err as Error).message}); } } if (!reached) { throw new Error(no provider of ${service} is reachable); } } console.log(${service} is served by ${provider.peerId});

if (service.startsWith("mcp://")) { const tools = await session.listTools(provider, service); console.log(tools: ${tools.map((t) => t.name).join(", ")}); const result = await session.callTool(provider, service, toolOrPath, JSON.parse(args)); console.log(result.text.join("\n")); } else { const response = await session.request(provider, service, toolOrPath); console.log(response.status, response.text()); }

await session.close();

<!-- /embed -->

Be an agent others can call. Nothing is published; a caller reaches the agent by its peer ID, the one it prints, through a router:

// An agent on the mesh: joins, then answers A2A requests from other members

// until stopped. It publishes nothing. There is no service name to look up; a // caller reaches the agent by its peer ID, through a router, as a2a://agent. // The mesh policy decides which members may call; the SDK turns the others // away before anything reaches this code. // // node agent.js # answered by the handler below // node agent.js http://127.0.0.1:9999 # forwarded to an A2A server beside it // // AGENTMESH_CONTROL_PLANE_URL names the mesh. The first run enrolls with the file // AGENTMESH_BOOTSTRAP_TOKEN_PATH (a token the mesh operator gave you) or // AGENTMESH_JWT_PATH (a workload identity token your platform issues, such as a // Kubernetes projected service account token), and keeps the identity and // credential in AGENTMESH_STATE_DIR; later runs resume from there, as the same // peer, without it. import { homedir } from "node:os"; import { AgentMesh } from "@agentmesh-p2p/sdk";

const [backendURL] = process.argv.slice(2);

const mesh = await AgentMesh.enroll({ controlPlaneUrl: process.env.AGENTMESH_CONTROL_PLANE_URL ?? "https://mesh.example.com", bootstrapTokenPath: process.env.AGENTMESH_BOOTSTRAP_TOKEN_PATH, jwtPath: process.env.AGENTMESH_JWT_PATH, stateDir: process.env.AGENTMESH_STATE_DIR ?? ${homedir()}/.config/agentmesh/agent, // A plaintext http:// control plane is otherwise accepted only on loopback. allowInsecure: process.env.AGENTMESH_INSECURE_CONTROL_PLANE === "true", }); const session = await mesh.join();

// Answers every path with who was asked and who asked; a real agent runs an // A2A server here, or beside this process at backendURL. const target = await session.acceptA2A( backendURL !== undefined ? { url: backendURL } : { handler: (request, caller) => Response.json({ name: "agent", path: new URL(request.url).pathname, caller: caller.peerId }) }, ); console.log(accepting ${target} as ${session.peerId});

const stop = () => void session.close().then(() => process.exit(0)); process.on("SIGINT", stop); process.on("SIGTERM", stop);

<!-- /embed -->

enroll reuses the identity and credential saved in stateDir when they are still valid for that control plane, and needs exactly one of bootstrapTokenPath, bootstrapToken, jwtPath or jwt (a token string or a () => string | Promise callback invoked at enrollment and on every refresh) otherwise. Read tokens from a file, a callback or the environment; do not put them on a command line. labels are attested at enrollment; join({ egressRequireLabels }) is the floor every peer the session calls must attest, all of it, held for the session.

A plaintext http:// control plane is accepted only on loopback. Pass allowInsecure: true for a network you trust.

License

Apache-2.0. Issues and contributions at github.com/google/agentmesh.

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