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
Overview
What is MCP Agent Server?
MCP Agent Server is a Model Context Protocol hub that connects AI clients with intelligent agents, facilitating cross-platform communication across various MCP 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.
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: Integrate custom tools or use existing MCP servers.
- 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 multiple specialized agents for different tasks.
- Facilitating communication between various AI ecosystems.
FAQ from MCP Agent Server?
- Can I create multiple agents?
Yes! You can create and manage multiple specialized agents with different capabilities.
- What are the prerequisites for using MCP Agent Server?
You need Node.js (v16+), an API key for your AI model provider, and any required API keys for specific MCP servers.
- How do I test agents?
You can test agents directly from the command line using the provided CLI commands.
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