MCP originated from the need to address limitations in existing tools at Anthropic. Developed over a month and a half, it focuses on cloud desktops and IDE integrations. Its design draws inspiration from the Language Server Protocol (LSP) while avoiding over-specification, allowing full leverage of LLMs with unstructured data. Compared to OpenAPI, MCP offers purpose-built tools that are more suitable for LLMs, although translators between the two exist. Building MCP servers involves selecting programming languages and SDKs, enabling richer user experiences through composability and model independence. Agents in MCP balance simplicity and tool nesting, giving users control over subsets of tools. Trust and authorization remain challenges, but the official repo provides core servers for contributions. The future roadmap includes transitioning to stateless servers and exploring OAuth 2.1 for authorization. Community involvement is crucial for MCP's development, emphasizing open-source governance and collaboration. The creators express a desire for more clients supporting the full specification and discuss potential integrations with platforms like the Godot Engine and Cloudflare.