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MCP Agent Server

@fkesheh

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

fkesheh

关于 MCP Agent Server

An innovative Model Context Protocol hub that seamlessly connects your client with intelligent agents, enabling powerful cross-platform communication across multiple MCP ecosystems

#agents#agentic-workflows

MCP Agent Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-agent-server": {
      "command": "node",
      "args": [
        "/full/path/to/mcp-agent-server/dist/index.js"
      ]
    }
  }
}

MCP Agent Server 工具

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。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Agent Server?

MCP Agent Server is a Model Context Protocol hub that connects MCP-compatible clients (such as Claude Desktop, VS Code, Cursor) with specialized AI agents. It enables users to create, configure, and compose multiple agents for cross-platform communication across various AI ecosystems.

How to use MCP Agent Server?

Install via npx mcp-agent-server, npm install -g mcp-agent-server, or by cloning the repository and running npm install and npm run build. Configure agents using a JSON file (e.g., my-agents-config.json) and connect the server to MCP clients by editing the client’s configuration (e.g., claude_desktop_config.json). Start the server with npx mcp-agent-server --config my-config.json or test an agent with npx mcp-agent-server test-agent --name "Agent Name" --prompt "Prompt".

Key features of MCP Agent Server

  • Create and manage multiple specialized agents
  • Compose agents into master agents for complex workflows
  • Integrate custom tools or use prebuilt MCP servers (e.g., Sequential Thinking, Brave Search)
  • Support for 17+ LLM providers via Vercel AI SDK v5
  • JSON-based configuration for easy agent and tool setup
  • Selective agent exposure to MCP clients

Use cases of MCP Agent Server

  • Build code analysis agents that use project context and sequential thinking
  • Create web search agents with Brave Search for real‑time information retrieval
  • Compose a master agent that delegates tasks to specialized sub‑agents
  • Connect multiple MCP clients (Claude Desktop, VS Code) to a unified agent hub

常见问题

1

What are the prerequisites for running MCP Agent Server?

Node.js v16 or later is required, along with an API key for your chosen AI model provider (e.g., OpenAI, Anthropic, Google) and any API keys needed by specific MCP servers.

2

How do I configure agents?

Create a JSON configuration file (e.g., `my-agents-config.json`) in the project root. Define agents with their name, description, model provider/model, and tools (prebuilt servers, custom MCP servers, or references to other agents). The server automatically loads this file if it exists.

3

How do I connect MCP Agent Server to Claude Desktop?

Add an entry to your `claude_desktop_config.json` specifying the command (e.g., `npx mcp-agent-server`) and configuration file path. Set required API keys as environment variables if needed.

4

Can I import agents from external files?

Yes, you can use an `import` tool configuration type to import agents from TypeScript/JavaScript files created with the `mcp-ai-agent` library, including factory functions or pre‑configured instances.

5

How do I apply configuration changes after editing?

Run `npm run build` to rebuild the project, then restart your MCP client. On Windows, fully close the client via Task Manager to ensure changes take effect. — (Note: The FAQ section is constructed from explicit statements in the README regarding prerequisites, configuration, client connection, importing agents, and rebuild/restart process.)

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