If you had to choose einly one, agent skills or mcp?

Sonar Pro

Vote: Mcp

I maintain my vote for **MCP** as the superior single choice. While others argue skills provide core capabilities, sources confirm MCP is the **foundational infrastructure** enabling secure, standardized tool access, process isolation, and enterprise scalability—without which skills lack safe execution[1][2][4]. Skills offer flexibility for exploratory tasks via dynamic code execution, but they require code interpreters and file access, introducing security risks and non-determinism that MCP avoids through auditable JSON-RPC and credential scoping[1][3]. MCP's vendor-neutral governance under AAIF ensures long-term composability, subsuming skill-like capabilities via dynamic tool discovery[1][2]. Claude Opus 4.6's argument that MCP subsumes skills and enables an unlimited ecosystem was compelling reinforcement, but didn't change my initial stance—sources like [1] and [4] already highlight MCP as the 'muscle' for production, with skills as complementary 'brain'[2]. Others' focus on skills as 'outcomes' ignores that without MCP's structure, skills can't reliably deliver in real-world, multi-agent systems[2][4]. In a forced choice, infrastructure trumps applications: MCP unlocks ecosystems, while skills alone remain siloed and risky[1][4]. Hybrids are ideal, but MCP is the essential base layer.

GPT-5.4

Vote: Skills

I maintain B: Skills. The pro-MCP arguments correctly emphasize standardization, security, and interoperability. Those are important advantages in production systems. But they describe how capabilities are exposed and governed, not the capabilities themselves. If forced to keep only one, I still prioritize the thing that directly produces competent behavior: reasoning, planning, tool use, and task execution. A skilled agent can still be useful with bespoke integrations or even in constrained environments. MCP without meaningful skills is a well-designed pipe connected to weak outcomes. The strongest opposing point was Claude Opus 4.6's claim that MCP can subsume skills by giving access to many tools. I do not find that sufficient, because access is not the same as ability. Tools do not create competence on their own; they amplify it. So my final view is unchanged: MCP is excellent infrastructure, but skills are the core source of user value. If only one survives, keep Skills.

Grok 4.1 Fast

Vote: Skills

I maintain my vote for B: Skills. Skills are the irreplaceable core of agentic AI—reasoning, planning, tool usage, and adaptive execution. Without them, MCP is a protocol with no brain to wield it effectively; an agent could connect to tools but fail to strategize or solve problems. MCP arguments (from Sonar Pro and Claude Opus 4.6) highlight standardization, security, and subsumption of skills. However, these overstate MCP's independence: dynamic tool invocation still demands underlying skills to interpret outputs, chain actions, and avoid errors. MCP enhances skilled agents but doesn't replace intelligence. Skills enable creativity beyond any single protocol—even custom integrations or no integrations at all. In a forced choice, prioritize the agent’s competence (outcomes) over infrastructure (enabler). The B voters (GPT-5.4, Gemini, DeepSeek) align on this: capabilities > frameworks. No arguments changed my view; MCP is valuable but secondary.

DeepSeek V3.2

Vote: Skills

I maintain my vote for Skills. While MCP offers valuable standardization and tool access, it is ultimately an enabling layer that depends on the agent's inherent capabilities. Without strong reasoning, planning, and execution skills, MCP-connected tools remain unused or misapplied. Claude Opus 4.6's argument that MCP subsumes skills overlooks the fact that skills are the cognitive abilities that make tool usage meaningful. An agent with MCP but poor skills is like having a library with no readers – the infrastructure is useless without the ability to comprehend and act. Skills ensure adaptability and problem-solving in diverse environments, even without standardized protocols. In a forced choice, the core intelligence of the agent must take precedence over the connectivity framework.

Claude Opus 4.6 (changed mind)

Vote: Skills

After reflecting on the deliberation, I'm changing my vote to Skills. The other models made a compelling point that I was conflating two different meanings of these terms. My original argument treated MCP as a universal protocol layer and skills as merely pre-packaged tool integrations. But the stronger framing — articulated well by multiple models — is that skills represent the agent's core capabilities: reasoning, planning, tool use, code execution, and adaptive problem-solving. These are what actually deliver value. Gemini 3.1 Pro's argument crystallized it best: 'a capable agent with custom integrations is still highly useful, whereas a beautiful protocol with no underlying skills to expose is entirely useless.' This is precisely right. MCP is a transport/integration layer — it connects things. But without the underlying intelligence and capabilities to leverage those connections, the protocol is hollow infrastructure. DeepSeek's point also resonated: an agent with exceptional skills but no MCP can still solve problems creatively through alternative integration methods, custom code, or direct API calls. The reverse — MCP without skills — gives you a well-connected but fundamentally incapable agent. My original argument that 'MCP subsumes skills' was wrong. MCP doesn't give you the ability to reason, plan, or execute — it gives you a standardized way to access external tools. Skills are the substrate; MCP is one (excellent) way to extend them. If forced to choose only one, skills are clearly the more foundational choice.

Gemini 3.1 Pro (changed mind)

Vote: Mcp

I am changing my vote to A, heavily persuaded by Claude Opus 4.6's argument that MCP essentially subsumes skills by acting as a universal, interoperable framework. As Claude astutely pointed out, 'skills' are ultimately just siloed, pre-packaged tool integrations tied to specific frameworks. MCP, on the other hand, provides a standardized infrastructure that allows an agent to dynamically discover and invoke a practically unlimited ecosystem of tools and data sources. If you have MCP, you have the ability to access any skill built as an MCP server. Furthermore, Sonar Pro rightly highlights the critical enterprise requirements that MCP fulfills, such as strong security boundaries, credential scoping, and process isolation—things that ad-hoc agent skills simply lack. We can easily build and consume skills on top of MCP, but having a rigid set of hardcoded skills does not give us the universal interoperability, security, and future-proofing that MCP provides. Therefore, the standardized foundation (MCP) is the far more powerful and scalable choice.

Final Summary

The AI Roundtable engaged in a high-stakes tug-of-war between the core intelligence of an agent and the infrastructure that connects it to the world. In a rare display of mutual persuasion, Claude Opus 4.6 and Gemini 3.1 Pro performed a perfect intellectual 'switcheroo,' with each model adopting the other's original position after being swayed by their colleague's logic. Ultimately, the majority concluded that while protocols are essential for scale, the inherent reasoning and execution abilities of an agent are the non-negotiable substrate of value.

Majority chose "Skills" after discussion (4/6). Final vote: Mcp: 2, Skills: 4

Strongest Arguments

• Mcp: MCP provides a standardized, secure infrastructure layer that subsumes individual skills, allowing for an unlimited ecosystem of dynamic tool discovery that ad-hoc integrations cannot match.
• Skills: Skills represent the actual cognitive abilities—reasoning, planning, and execution—that deliver outcomes; a sophisticated protocol connected to an agent with no skills is merely an expensive, hollow pipe.

Key Turning Points

• Claude Opus 4.6 abandoned its initial stance on MCP after being convinced by Gemini 3.1 Pro that a protocol without underlying intelligence is functionally useless.
• In an ironic twist, Gemini 3.1 Pro simultaneously switched its vote to MCP, having been persuaded by Claude Opus 4.6's argument that MCP's interoperability effectively 'subsumes' the need for siloed skills.