10 months ago
developer-toolsBridge package enabling seamless integration between Model Context Protocol (MCP) servers and AI SDK tools. Supports multiple server types, real-time communication, and TypeScript.
Overview
What is AISDK MCP Bridge?
AISDK MCP Bridge is a bridge package that facilitates seamless integration between Model Context Protocol (MCP) servers and AI SDK tools, enabling efficient communication and tool execution.
How to use AISDK MCP Bridge?
To use AISDK MCP Bridge, install it via npm and configure your mcp.config.json file to define the MCP servers you want to connect to. Then, import the bridge in your code and initialize it to start using the tools.
Key features of AISDK MCP Bridge?
- Seamless integration between MCP servers and AI SDK
- Support for various MCP server types (Node.js, Python, UVX)
- Multi-server support with independent configuration
- TypeScript support with full type definitions
- Robust error handling and logging
- Easy-to-use API for tool execution
Use cases of AISDK MCP Bridge?
- Integrating multiple AI tools from different MCP servers.
- Real-time communication between AI models and external services.
- Executing functions on MCP servers directly from your application.
FAQ from AISDK MCP Bridge?
- What types of servers does AISDK MCP Bridge support?
It supports various server types including Node.js, Python, and UVX.
- Is there TypeScript support?
Yes, AISDK MCP Bridge includes full TypeScript definitions.
- How do I handle errors?
The bridge includes robust error handling and logging features.