MCP's Evolution: From Developer Tool to Open Standard

The Copy-Paste Problem That Started It All

When David Soria Parra joined Anthropic, he was tasked with making AI tools more useful for engineers and researchers. What he found was a frustrating reality: powerful AI models trapped in isolation, unable to connect to the systems that mattered most.

"I have to go and copy in and out code snippets, or documents into the application, and then get the answer out and copy it out," Parra explains. "I have this amazing AI system, this brain, but it's kind of put into a jar and can't reach out to the world."

This frustration led to what he initially called "Claude Connect" - a simple application that would sit alongside Claude Desktop and enable connections to external sources. But conversations with co-creator Justin Spahr-Summers revealed a deeper need: this wasn't just a tool problem, it was a protocol problem.

The Protocol Pattern Emerges

The realization was classic end-times-M: multiple clients (IDEs, Claude Desktop, Claude Code) needed to talk to multiple servers (file systems, web search, databases, APIs). A protocol would solve this elegantly.

MCP's three original primitives - prompts, resources, and tools - were designed around different interaction patterns. The key insight was that with an intelligent model on the other side, you could be flexible about tool definitions. "You can be very flexible with the different parameters," Parra notes. "Traditional protocols often have these are the parameters or these are the things you must provide. We are fairly simple and open in that regard."

Security: The Inherent Challenge

MCP amplifies existing LLM security problems. Since AI interfaces are just text, there's no distinction between trustworthy and untrustworthy sources. When you allow applications to connect to external systems, you multiply the attack surface.

The protocol provides guidance for client implementers and is working on stricter definitions for sensitive domains like healthcare. But Parra is clear: "A good chunk of [security concerns] are inherent problems to LLMs."

Supply chain attacks remain a fundamental issue. Local MCP servers face the same problems as any registry - you're downloading code you must trust. Remote servers introduce trust questions similar to website authentication. "HTTP doesn't tell you what is trustworthy and what's not, because it cannot," Parra explains.

The Open Source Journey

MCP's evolution from company project to open standard accelerated when Anthropic donated it to the Linux Foundation. The move ensures MCP stays truly open - no company can close it down or sue others for implementation.

"Finding partners to make this next step to truly do what we actually always meant to do - build an open standard everybody can implement, everybody can use, and give people in the industry the security that they can lean into this" was crucial, Parra says.

The Future: Scalability and Extensions

The biggest current focus is horizontal scalability. Major tech companies need MCP to scale to thousands or millions of servers and users, requiring protocol changes to transport mechanisms.

Other priorities include:

• Discoverability: Making MCP servers findable through web standards like .well-known URLs
• Extensions: Allowing domain-specific functionality without bloating the core protocol
• MCP Apps: Interactive patterns where servers provide HTML/React components for richer user experiences

Parra emphasizes the goal of building a sustainable open source project that doesn't rely on Anthropic's resources. "We still fully committed to it and we still do a lot of the work there, but we really want to make this an open project that everybody feels welcomed and can contribute to."

The Bigger Picture

MCP represents more than just a technical solution - it's about enabling AI to connect meaningfully with the tools and data that matter. Whether it becomes the dominant standard or not, Parra hopes the industry moves toward standardization rather than fragmentation.

"The worst outcome could be that if the current standard goes away, that there will be no other standard, and I think that will be a net negative for the industry," he concludes.

The journey from solving a personal frustration to creating an open ecosystem shows how addressing developer pain points can lead to broader industry impact. MCP's story is still being written, but its foundation as an open, community-driven protocol positions it well for the AI-connected future.