MCP Agent Server

by fkesheh

8 stars

887 downloads

Not rated

GitHub

About

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

Details

Author: fkesheh
GitHub stars: 8
Downloads: 887
Categories: AI, Automation

- 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

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name MCP Agent Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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".

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

MCP Agent Server

A Model Context Protocol (MCP) hub that seamlessly connects AI clients with intelligent agents, enabling powerful cross-platform communication across multiple AI ecosystems.

Overview

MCP Agent Server creates a bridge between MCP-compatible clients (like Claude Desktop, VS Code, Cursor, etc.) and specialized AI agents. It enables you to:

- Create and configure multiple specialized agents with different capabilities
- Connect these agents to your MCP clients
- Compose agents into master agents for complex workflows
- Build AI applications with advanced capabilities MCP servers

This project leverages the mcp-ai-agent framework to simplify agent creation and management.

Features

- Multiple Agent Support: Create and manage different specialized agents
- Agent Composition: Combine specialized agents into master agents
- Custom Tool Integration: Create your own tools or use existing MCP servers
- Preconfigured Servers: Easy access to popular MCP servers like Sequential Thinking, Brave Search, and Memory
- AI SDK Integration: Support for 17+ LLM providers including OpenAI, Anthropic, Google (Generative AI & Vertex), Amazon Bedrock, Azure, Cohere, Mistral, Fireworks, Groq, Perplexity, Together AI, xAI, DeepSeek, Cerebras, DeepInfra, and Replicate through Vercel AI SDK v5

Prerequisites

- Node.js (v16+) installed
- An API key for your chosen AI model provider (OpenAI, Anthropic, Google, etc.)
- Any API keys required by specific MCP servers you want to use

Installation

Option 1: Using npx (Recommended)

You can run MCP Agent Server directly using npx without installation:

```bash

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About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

MCP Agent Server

Overview

Features

Prerequisites

Installation

Option 1: Using npx (Recommended)

Install

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