スキルとMCPサーバーによるClaudeの能力拡張
Anthropic社は、Claudeの機能拡張を実現する「スキル」と「MCPサーバー」の連携方法を解説し、外部ツールへの接続と効果的な活用を可能にするエージェント構築のフレームワークを提供している。
キーポイント
スキルとMCPの役割分担
Model Context Protocol(MCP)はClaudeを外部ツールに接続する役割を担い、スキルは接続されたツールを効果的に活用するためのコンテキストと手順を提供する。
連携による実用的なエージェント構築
両者を組み合わせることで、チーム固有のワークフローに従い、外部システムを効果的に活用するエージェントを構築できる。
具体例による説明
NotionへのMCP接続と会議準備スキルの組み合わせ例を通じて、単なる接続から実用的な出力生成までのプロセスを説明している。
オープンスタンダード化
Agent Skillsがオープンスタンダードとして公開され、クロスプラットフォームでの移植性が確保された。
SkillsとMCPの役割分担
MCPサーバーはツールへの接続と基本的な使用方法を提供し、Skillsはワークフローの論理、順序付け、出力形式を定義する。
Skillsの具体的な利点
明確な情報探索手順の定義、予測可能なマルチステップワークフローの実行、チーム基準に合った一貫した出力品質の確保を実現する。
競合する指示の回避
MCPサーバーとSkillsの指示が競合する場合(例:JSON vs マークダウン表)、接続性はMCPに、プレゼンテーションとワークフローはSkillsに任せるべきである。
影響分析・編集コメントを表示
影響分析
この記事は、AIエージェントの実用化における重要な課題である「外部システム連携」と「組織固有のワークフロー適応」を解決するフレームワークを提供している。企業が自社の業務プロセスにAIを統合する際の実践的なガイドラインとなり、AIの業務適用加速に貢献する可能性がある。
編集コメント
AIエージェントの実用化における重要な課題「接続と活用の分離」を明確に定義し、企業向けAI導入の具体的な道筋を示した実践的な内容。
いいえ。スキルとMCPは異なる問題を解決します。MCPは外部ツールやデータへの接続性を提供します。スキルはその接続性を効果的に活用するための手続き的知識を提供します。最も強力なワークフローは両方を併用します。
1つのスキルが複数のMCPサーバーを使用できますか?
はい。単一のスキルが複数のMCPサーバーを同時に調整できます。例えば、技術的競合分析スキルは、Google Driveで内部調査を検索し、GitHubから競合他社のリポジトリを取得し、ウェブ検索を通じて市場データを収集するかもしれません。
1つのMCPサーバーに対して複数のスキルを構築できますか?
はい。スキルは単一のMCP接続から得られる価値を高めることができます。Notionはこのパターンを、会議準備、調査、知識キャプチャ、仕様から実装までの個別スキルで実証しています。こちらでご確認ください。
始めましょう
スキルとMCPで構築する準備はできましたか?始め方は次の通りです:
- claude.aiの設定→機能でスキルを有効にする
- 事前構築済みの例をスキルライブラリで閲覧する
- スキルドキュメントを読む
- ツール用のMCPサーバーを閲覧する
- MCPドキュメントを読む
- MCPクイックスタートで独自のサーバーを構築する
- MCPサーバーを接続し、それを使用するスキルを追加する
関連記事
Claudeのエージェント機能を活用した構築に関するさらなる洞察を探求してください。
- スキルの説明:スキルがプロンプト、プロジェクト、MCP、サブエージェントとどのように比較されるか
- スキルによるフロントエンド設計の改善
- エージェントスキルによる現実世界へのエージェントの装備
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原文を表示
Extending Claude’s capabilities with skills and MCP servers
Learn how skills and MCP work together to build agents that follow your workflows and use external systems and platforms effectively.
ProductClaude appsClaude Developer Platform
DateDecember 19, 2025
Reading time5min
ShareCopy linkhttps://claude.com/blog/extending-claude-capabilities-with-skills-mcp-servers
Update: We've published Agent Skills as an open standard for cross-platform portability. (December 18, 2025) Since launching Skills, two of the biggest questions we’ve heard from customers are: "How do skills and MCP work together? When should I use one versus the other?"
Model Context Protocol (MCP) connects Claude to third-party tools, and skills teach Claude how to use them well. When you combine both, you can build agents that follow your team’s workflows, not generic processes that require constant correction.
For example, an MCP connection to Notion lets Claude search your workspace. Add a skill for meeting prep, and Claude knows which pages to pull from, how to format the prep document, and what your team’s standards are for delivering meeting notes. The connection becomes useful instead of just available.
In this article, we break down the relationship between skills and MCP, how to combine them to build agents that follow your workflows to produce consistent outputs, and walk through a few real-world examples of how they work together in practice.
Understanding skills and MCP
You walk into a hardware store looking to fix a broken cabinet. The store has everything you need (wood glue, clamps, replacement hinges) but knowing what items to buy and how to use them is a different problem.
MCP is like having access to the aisles. Skills, meanwhile, are like an employee's expertise. All the inventory in the world won't help if you don't know which items you need or how to use them. A skill is like the helpful employee who walks you through the repair process, points you to the right supplies, and shows you proper technique.
Put more concretely, an MCP server gives Claude access to your external systems, services, and platforms, while skills provide the context Claude needs to use those connections effectively, teaching Claude what to do now that it has this access. Without the context that skills provide, Claude has to guess at what you want. With a skill, Claude can follow your playbook instead.
Why skills and MCP work well together
MCP handles connectivity: secure, standardized access to external systems. Whether you're connecting to GitHub, Salesforce, Notion, or your own internal APIs, MCP servers give Claude the ability to reach your tools and data.
Skills handle expertise: the domain knowledge and workflow logic that turn raw tool access into reliable outcomes. A skill knows when to query your CRM, what to look for in the results, how to format the output, and which edge cases require different handling. This separation keeps the architecture composable. A single skill can orchestrate multiple MCP servers, while a single MCP server can support dozens of different skills. Add a new connection, and existing skills can incorporate it. Refine a skill, and it works across all your connected tools.
When you combine skills and MCP, you get:
Clear discovery: Claude stops guessing where to look. A meeting prep skill might specify: check the project page first, then previous meeting notes, then stakeholder profiles. A research skill might say: start with the shared drive, cross-reference against the CRM, then fill gaps with web search. The skill encodes institutional knowledge about which sources matter for which tasks.
Reliable orchestration: Multi-step workflows become predictable. Without a skill, Claude might pull data and format it before checking whether it has everything. Skills define the sequence explicitly, so Claude executes the workflow the same way every time.
Consistent performance: Outputs actually meet standards. Generic results need editing. Skills define what "done" looks like for your team: the right structure, the right level of detail, the right tone for your audience.
Over time, teams build up collections of interrelated skills and connections that give Claude expertise in their specific domain.
Further reading: Tim O'Reilly on what MCP and skills mean for open source AI
How skills and MCP work together: MCP provides tool access, skills provide workflow logic.
Where skills and MCP may overlap
MCP servers may contain instructions in the form of tool usage hints and prompts for common tasks. This keeps tool-specific knowledge close to the tool. However, these instructions should be kept generic by design.
The rule of thumb: MCP instructions cover how to use the server and its tools correctly. Skill instructions cover how to use them for a given process or in a multiserver workflow.
For example, a Salesforce MCP server might specify query syntax and API formats. A skill would specify which records to check first, how to cross-reference them against Slack conversations for recent context, and how to structure the output for your team's pipeline review. When combining MCP servers and skills, watch for conflicting instructions. If your MCP server says to return JSON and your skill says to format as markdown tables, Claude has to guess which one is right. Let MCP handle connectivity, and let skills handle presentation, sequencing, and workflow logic.
Further reading: Learn how skills use progressive disclosure to load context on-demand and programmatic tool calling to orchestrate MCP tools efficiently.
Real-world examples of using skills and MCP together
Now let's look at how skills and MCP combine in real workflows. We'll walk through two examples: financial analysts pulling live market data for company valuations, and project managers using Notion's Meeting Intelligence skill for meeting prep.
In both cases, MCP servers provide access to the tools and the skills define what to do with them.
Financial analysis: Automating company valuations skill
Anthropic released a set of pre-built skills for common financial workflows, including comparable company analysis. Comparable company analysis is a standard valuation method. Analysts doing comparable company analysis spend hours pulling financial metrics from multiple sources, applying the same valuation methodology, and formatting outputs to meet compliance standards. It's repetitive, error-prone, and exactly the kind of workflow that benefits from skills and MCP working together.
Skill: Comparable company analysis automates this valuation workflow, pulling data from multiple sources, applying consistent methodology, and formatting outputs to specific standards.
MCP servers: Connections to S&P Capital IQ, Daloopa, and Morningstar for live market data
Skill identifies which data sources to query (Discovery)
MCP connections pull live financial data
Skill applies methodology and formats output (Orchestration)
Skill validates against compliance requirements (Performance)
Meeting preparation: Notion's Meeting Intelligence skill
Meeting prep is tedious. You need to pull context from multiple places, such as project docs, previous meeting notes, and stakeholder info, then synthesize it into a pre-read and an agenda. It's the kind of multi-step process you end up re-explaining every time.
Skill: Meeting Intelligence defines which pages to search, how to structure outputs, what sections to include
MCP server: Notion connection that searches, reads, and creates pages
Skill identifies relevant pages to search, including projects, previous meetings, stakeholder info (Discovery)
MCP connection searches and retrieves content from Notion
Skill structures two documents: internal pre-read and external agenda (Orchestration)
MCP connection saves both documents to Notion, organized and linked
Skill ensures outputs match formatting standards (Performance)
When to use skills vs. MCP
Skills and MCP solve different problems, but deciding which to use for a specific workflow isn't always obvious.
What to use skills for
Skills capture the knowledge that would otherwise live in your head, or that gets re-explained every time someone new joins the team. They work best for:
Multi-step workflows involving tools: Meeting prep that pulls from multiple sources, then creates structured documents
Processes where consistency matters: Quarterly financial analyses that must follow the same methodology every time, compliance reviews with mandatory checkpoints
Domain expertise you want to capture and share: Research methodologies, code review standards, writing guidelines
Workflows that should survive when team members leave: Institutional knowledge encoded in reusable instructions
What to use MCP servers for
MCP extends what Claude can access and use. Use an MCP when you need:
Real-time data access: Searching Notion pages, reading Slack messages, querying databases
Actions in external systems: Creating GitHub issues, updating project management tools, sending notifications
File operations: Reading from and writing to Google Drive, accessing local filesystems
API integrations: Connecting to services that don't have native Claude support
If you're explaining how to do something, that's a skill. If you need Claude to access something, that's MCP.
Quick reference table: How skills and MCP differ
Procedural knowledge
Tool connectivity
Teaches Claude how to do something
Gives Claude access to something
On demand, when relevant
Always available once connected
Instructions, scripts, templates, assets
Tools, resources, prompts
Loads on-demand, preserving context
Definitions loaded upfront
Workflows, standards, methodology
Data access, API calls, external actions
Common questions
Do skills replace MCP?
No. Skills and MCP solve different problems. MCP provides connectivity to external tools and data. Skills provide procedural knowledge for how to use that connectivity effectively. Most powerful workflows use both.
Can one skill use multiple MCP servers?
Yes. A single skill can coordinate multiple MCP servers at once. A technical competitive analysis skill might search Google Drive for internal research, pull competitor repos from GitHub, and gather market data via web search.
Can I build multiple skills for one MCP server?
Yes. A skill can enhance the value you get from a single MCP connection. Notion demonstrates this pattern with separate skills for meeting prep, research, knowledge capture, and spec-to-implementation—check them out here.
Getting started
Ready to build with skills and MCP? Here's how to start:
Enable skills in Settings → Capabilities on claude.ai
Browse the skills library for pre-built examples
Read the skills documentation
Browse MCP servers for your tools
Read the MCP documentation
Build your own server with the MCP quick start
Connect an MCP server, then add a skill that uses it
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