AISDK MCP Bridge
Enables seamless integration and communication between Model Context Protocol (MCP) servers and AI SDK tools.
About
The AISDK MCP Bridge facilitates seamless communication and tool execution between Model Context Protocol (MCP) servers and AI models. It supports multiple server types (Node.js, Python, UVX), real-time communication via SSE, and flexible configuration through `mcp.config.json`. With TypeScript support, robust error handling, and an easy-to-use API, it simplifies the integration of MCP tools with AI SDK for enhanced AI-powered applications.
Key Features
- Seamless integration between MCP servers and AI SDK
- Flexible configuration through `mcp.config.json`
- Support for various MCP server types (Node.js, Python, UVX)
- 11 GitHub stars
- Multi-server support with independent configuration
- TypeScript support with full type definitions
Use Cases
- Integrating diverse MCP servers with AI SDK for a unified tool ecosystem.
- Facilitating real-time communication between AI models and external services.
- Enabling AI models to utilize tools provided by MCP servers.
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