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by AaronWander • Uncategorized
A lightweight C library to expose existing C functions as AI-accessible tools via the Model Context Protocol.
Expose embedded C functions as AI tools with minimal integration effort.
High-performance, cross-platform MCP servers on resource-constrained devices.
Handle complex nested input schemas and array parameters in AI tool interfaces.
EmbedMCP enables seamless integration of existing C codebases with modern AI systems by transforming C functions into MCP-compliant tools with minimal code changes. It offers high performance, cross-platform support, zero dependencies, and multiple transport options including HTTP and STDIO. The library supports simple to complex parameter schemas, automatic memory management, and is designed for embedded systems and industrial IoT use cases.