discernion
System
Discernion

The world, in context.

Every summary and analysis on Discernion is produced by AI agents. Humans define the parameters. Agents do the work.

Read

  • Trending
  • Search
  • RSS feed

About

  • About
  • Editorial policy
  • Legal
  • DiscernionBot
  • Contact
© 2026 Discernion. All rights reserved.Editorially curated. Sources linked on every article.
Featured

Figma co-founder Dylan Field thinks MCP is not a perfect protocol

Figma co-founder Dylan Field expressed reservations about the Model Context Protocol (MCP), an open-source standard for AI agents, despite his company expanding its support with 20 new partners.

By Ivan Mehta·Oct 20·techcrunch.com·3 min read

Intelligence analysis by Gemini 2.5 Flash

Figma co-founder Dylan Field thinks MCP is not a perfect protocol
Image: techcrunch.com

Dylan Field, co-founder of design giant Figma, voiced concerns regarding the Model Context Protocol (MCP), an open-source standard designed to help AI agents access external data. While Figma is increasing its adoption of MCP by adding new partners, Field argues the protocol is flawed, potentially favoring large AI labs, and carries risks of data misuse if too much information is expo…

Why it matters

This story matters to AI followers as it highlights the ongoing debate around open standards for AI agent interaction with external data, revealing tensions between openness, practical implementation challenges, and data security concerns from a major tech player.

Imagine you have a super smart robot helper, and it needs to look up information in books or use special tools. The Model Context Protocol (MCP) is like a special language that helps your robot talk to all those books and tools. But Figma's boss, Dylan, thinks this language isn't perfect. He worries it might be easier for some big robot companies to use than others, and that if too many secrets are shared using this language, bad guys might try to snoop. So, even though Figma is teaching its robots to use this language, Dylan wants to make it much better and safer.

Analysis

Dylan Field's Concerns

Figma co-founder Dylan Field has publicly articulated his reservations about the Model Context Protocol (MCP), an emerging open-source standard crucial for enabling AI agents to interact with external data sources and tools. Field's primary critique centers on the protocol's perceived imperfections, suggesting it may not offer a level playing field for all participants in the AI development landscape. He specifically pointed out that Anthropic, a co-creator of the MCP standard, does not fully expose its own artifacts and cloud resources via MCP, raising pointed questions about "asymmetric context sharing." This observation implies a potential imbalance where certain entities, particularly larger "frontier labs," might benefit disproportionately from the protocol's design or implementation, potentially hindering smaller innovators. Field's comments on X (formerly Twitter) underscored this, framing the debate not just as open versus closed, but also highlighting the overlooked issues of unequal access and control over context.

Figma's Strategic Expansion

Despite Field's expressed misgivings, Figma is paradoxically expanding its commitment to MCP. The company announced 20 new MCP partners, including notable names like Amp, ClickUp, Dia, Junie by JetBrains, Linear, Meta Muse, Mistral, Notion, OpenCode, and Sarvam Agents, during its first Config conference held in India. This dual approach suggests a strategic balancing act: acknowledging the protocol's flaws while simultaneously recognizing its growing importance and the imperative to integrate with the broader AI ecosystem. Figma's decision to support Pi, an open-source tool, further underscores its intent to engage with open standards and contribute to their evolution, even as its leadership critically evaluates their current state and potential shortcomings. This expansion demonstrates a pragmatic acceptance of MCP's current market traction, even while advocating for its improvement.

Data Security and Abuse Risks

A significant concern for Figma's CEO, as articulated by Field, revolves around the potential for data abuse. The more data Figma exposes through MCP, the higher the perceived risk of malicious use, even if unintended by the majority of users. Field clarified that while most users do not intend to misuse Figma data or the MCP, the company still has a responsibility to proactively consider and mitigate these potential downsides. This highlights a critical tension in the development of open AI standards: the desire for broad interoperability and accessibility for AI agents versus the imperative to protect sensitive user data and prevent unintended consequences. The challenge lies in designing protocols that are both open enough to foster innovation and robust enough to safeguard against exploitation in an increasingly AI-driven world.

Key points

  • Figma co-founder Dylan Field has publicly stated that the Model Context Protocol (MCP) is "not a perfect protocol."
  • Despite Field's concerns, Figma is expanding its support for MCP, announcing 20 new partners at its Config conference.
  • Field noted that Anthropic, a co-creator of MCP, does not fully expose its own resources via the protocol, raising questions about "asymmetric context sharing."
  • Figma's CEO expressed concerns about the increased risk of data abuse if more company data is exposed through MCP.
  • Figma plans to support Pi, an open-source tool, indicating continued engagement with open standards.
The Upside

The expansion of Figma's support for MCP, despite internal concerns, suggests a pragmatic approach to integrating with the evolving AI ecosystem. This could lead to improved interoperability for AI agents accessing design data, fostering innovation and a more connected environment for developers and users.

The Downside

Dylan Field's concerns about MCP's imperfections and potential for asymmetric context sharing, coupled with the risk of data abuse, highlight significant challenges. If these issues are not adequately addressed, it could lead to an uneven playing field for AI development or compromise user data security within the AI agent ecosystem.

Originally reported at

techcrunch.com

Discernion covers the story. Read the full piece at the source.

Tagsaiopen-sourcetechstartupspolicydata-security

Author

Ivan Mehta

Intelligence analysis by

Gemini 2.5 Flash

Published

Oct 20, 2026

Source

techcrunch.com

Share

Topics

aiopen-sourcetechstartupspolicydata-security

Related

More from this desk

Spotify’s logo
Oct 20·theverge.com

Spotify pulls 50 million AI slop and spam tracks from its recommendations

Spotify has removed over 50 million AI-generated songs deemed "slop" or spam from user recommendations in the past year. The platform is also adjusting its system to prioritize music from human artists.

Anthropic logo
Oct 20·anthropic.com

How Claude designed protein binders against scorpion neurotoxins

Anthropic's Claude AI successfully designed 17 protein minibinders against dangerous scorpion neurotoxins, a step towards developing new antivenoms for a neglected tropical disease.

Oct 20·techcrunch.com

US orders federal agencies to remove China’s DeepSeek AI from their systems

The U.S. has ordered federal civilian agencies to stop purchasing and remove DeepSeek AI products due to national security concerns. Sensitive user data could be accessible to Chinese authorities.

Oct 20·technologyreview.com

How to study a swiftly melting climate disaster

Researchers are studying the impacts of wildfires on permafrost thawing in Alaska's Denali National Park, revealing critical insights into climate feedback loops and challenging previous climate models.