This blog post summarizes the author’s perspective on Anthropic’s MCP (Model Control Plane), as outlined in their original article. The author expresses initial skepticism, highlighting several notable concerns. They point to the Python SDK’s unnecessary complexity, which they argue could complicate its application. Furthermore, the author critiques the limited reusability of existing API surfaces, suggesting a shortfall in practical design. They also find the system’s architectural choices unsuited to the demands of modern, stateless API usage, raising doubts about its effectiveness. Security implications are another area of concern, alongside the extensive range of options presented to the language model, which the author deems excessive. Ultimately, the author concludes that standard tool-calling mechanisms offer a more reliable approach for connecting APIs with large language models, preferring them over MCP based on their current evaluation.
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