What is MCP-of-MCPS?
MCP-of-MCPS is a meta-server that merges all your individual MCP servers into a single endpoint, providing tool discovery, selective schema loading, and code-based tool orchestration.
@eliavamar
基本信息
MCP of MCPs is a meta-server that merges all your MCP servers into a single smart endpoint. It gives AI agents instant tool discovery, selective schema loading, and massively cheaper execution, so you stop wasting tokens and time.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-of-mcps": {
"autoApprove": [],
"disabled": false,
"timeout": 60,
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@dbestai/mcp-of-mcps",
"--config",
"[{\"name\":\"weather\",\"command\":\"npx\",\"args\":[\"-y\",\"@h1deya/mcp-server-weather\"]},{\"name\":\"time\",\"command\":\"uvx\",\"args\":[\"mcp-server-time\"]}]"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
MCP-of-MCPS is a meta-server that merges all your MCP servers into a single smart endpoint. It gives AI agents instant tool discovery, selective schema loading, and massively cheaper execution, turning chaotic multi-server setups into a fast, efficient, hallucination-free workflow.
Install the package via npx @dbestai/mcp-of-mcps and add it to your Cline MCP settings file. Configure it with either an inline JSON array of servers or a config file path. Use the four provided tools in sequence: get_mcps_servers_overview for a lightweight list, semantic_search_tools to search by intent, get_tools_overview to load only needed schemas, and run_functions_code to execute workflows.
MCP-of-MCPS is a meta-server that merges all your individual MCP servers into a single endpoint, providing tool discovery, selective schema loading, and code-based tool orchestration.
You need Node.js, npm or yarn, and configured MCP servers that you want to aggregate.
Add it to your Cline MCP settings with either an inline `--config` argument listing the server definitions or a `--config-file` argument pointing to a JSON config file.
It uses `run_functions_code` to keep data flows between tools as native objects in memory, returning only the final result to the model, and it loads only the needed tool schemas instead of all of them.
It provides four tools: `semantic_search_tools` (semantic search), `get_mcps_servers_overview` (list tool names), `get_tools_overview` (load specific tool schemas), and `run_functions_code` (execute JavaScript workflows).
A search tool helps dev to solve the naming things problem.

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