Skills Plugins MCP Prompt Model 导航 博客 资讯 我的中心
Knowledge & Memory (RAG) #JavaScript#混合部署#MIT

MeshSeeks

Multi-Agent Mesh Network MCP server that spawns specialized AI agents working in parallel to solve complex coding problems, providing 3.64x faster performance through distributed intelligence.

Knowledge & Memory (RAG) npm 0 platforms 0 features

Install

npx -y @thomaswalichiewicz/meshseeks-mcp-server

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

{
  "mcpServers": {
    "meshseeks": {
      "command": "npx",
      "args": [
        "-y",
        "@thomaswalichiewicz/meshseeks-mcp-server"
      ],
      "env": {
        "CLAUDE_CLI_PATH": "<CLAUDE_CLI_PATH>",
        "MCP_MAX_RETRIES": "<MCP_MAX_RETRIES>",
        "MCP_CLAUDE_DEBUG": "<MCP_CLAUDE_DEBUG>",
        "MCP_MESH_TIMEOUT": "<MCP_MESH_TIMEOUT>",
        "MCP_MESH_VERBOSE": "<MCP_MESH_VERBOSE>",
        "MCP_USE_ROOMODES": "<MCP_USE_ROOMODES>",
        "MCP_RETRY_DELAY_MS": "<MCP_RETRY_DELAY_MS>",
        "MCP_WATCH_ROOMODES": "<MCP_WATCH_ROOMODES>"
      }
    }
  }
}

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。