An innovative Model Context Protocol hub that seamlessly connects your client with intelligent agents, enabling powerful cross-platform communication across multiple MCP ecosystems
Overview
What is MCP Agent Server?
MCP Agent Server is a Model Context Protocol (MCP) hub that connects AI clients with intelligent agents, facilitating cross-platform communication across various AI ecosystems.
How to use MCP Agent Server?
To use MCP Agent Server, clone the repository, install dependencies, build the project, and configure your agents in a custom configuration file. Then, connect it to your MCP client (like Claude Desktop or VS Code) to utilize the agents.
Key features of MCP Agent Server?
- Multiple Agent Support: Create and manage various specialized agents.
- Agent Composition: Combine agents into master agents for complex workflows.
- Custom Tool Integration: Use existing tools or create new ones.
- Preconfigured Servers: Access popular MCP servers easily.
- AI SDK Integration: Support for multiple LLM providers through Vercel AI SDK.
Use cases of MCP Agent Server?
- Building AI applications with advanced capabilities.
- Managing workflows with multiple specialized agents.
- Integrating various AI models for diverse tasks.
FAQ from MCP Agent Server?
- Can I create multiple agents?
Yes! You can create and manage multiple specialized agents tailored to different tasks.
- Is there a specific environment required?
Yes, Node.js (v16+) is required along with API keys for your chosen AI model provider.
- How do I test agents?
You can test agents directly from the command line using the provided CLI commands.
Server Config
{
"mcpServers": {
"mcp-agent-server": {
"command": "node",
"args": [
"/full/path/to/mcp-agent-server/dist/index.js"
]
}
}
}