How to Choose Between MCP Servers and Claude Skills
I built an MCP server for git operations. Took me three hours. Then I realized Claude already knows git commands better than I do. I had over-engineered a simple problem.
That’s when I learned the hard rule: match the tool to the complexity.
The Problem: Two Ways to Extend Claude
When you want Claude to do more than chat, you have two options:
- MCP Servers: External programs that Claude connects to via a protocol
- Claude Skills: Markdown files with instructions Claude follows
Both work. Both have tradeoffs. I kept picking the wrong one.
At first, I thought MCP was “more professional.” So I built MCP servers for everything. Git operations. File management. Running tests. Each one took hours to set up properly.
Then I discovered Skills. A 10-line markdown file replaced my 200-line git MCP server. Same functionality. Fraction of the effort.
The Key Difference
Here’s the mental model that finally clicked:
MCP Servers: Claude doesn’t know the tool. The MCP server acts as a translator, teaching Claude how to use it.
Skills: Claude already knows the tool. The skill just reminds Claude how you want it used.
This distinction matters because it tells you which to use.
When to Use Claude Skills
Use Skills when Claude already understands the tool. This includes:
- git: Claude knows git flags better than most developers
- npm/yarn/pnpm: Standard package managers with clear commands
- docker: Well-documented CLI that Claude has memorized
- File operations: Read, write, move, organize
For these, a Skill is just structured instructions. Here’s one I use:
---name: git-commitdescription: Create git commits with conventional format---
Create a git commit with:1. Conventional commit message format2. Proper author attribution3. Only staged changes4. Reference any related issuesThat’s it. No protocol. No server. No deployment. Claude reads this and follows the instructions.
What Makes Skills Work
Skills work because Claude has already seen thousands of git commands during training. It knows:
- What
git commit -mmeans - How to stage files with
git add - How to check status with
git status - The conventional commit format
The skill just guides Claude to apply that knowledge consistently.
When to Use MCP Servers
Use MCP servers when the tool has complexity that requires translation:
- 100+ operations with interdependent parameters
- Domain expertise needed to compose operations correctly
- Claude doesn’t know the tool’s patterns and gotchas
Examples:
| Tool | Why MCP | Operations |
|---|---|---|
| AWS SDK | 1000+ operations, complex IAM relationships | High |
| Kubernetes API | Hundreds of resource types, dependencies | High |
| Database clients | Transaction handling, connection pooling | Medium-High |
| Enterprise APIs | Custom protocols, auth schemes | Varies |
For these, Claude can’t just “figure it out.” The MCP server provides:
- Schema validation: Ensures parameters are correct
- Domain knowledge: Guides Claude on which operations work together
- Error handling: Translates cryptic API errors into actionable guidance
A Real MCP Server Structure
When you need MCP, you’re building something substantial:
import { Server } from '@modelcontextprotocol/sdk/server';
const server = new Server({ name: 'database-integration', version: '1.0.0'});
// Handles complex operations:// - Connection pooling// - Transaction management// - Query optimization// - Schema migrations// - Relationship traversalThis is not a 10-line markdown file. It’s real code with real complexity.
The Decision Framework
I use a simple heuristic from a Reddit discussion:
“If the tool already has a good CLI, skip MCP and let Claude use the CLI directly. MCP only earns its complexity when the tool has hundreds of operations with parameter relationships that require domain knowledge to compose correctly.”
Here’s my decision flow:
Start with question: Does Claude know this tool?
YES → Use a Skill (5-10 minutes) └── Write instructions in markdown └── Claude applies existing knowledge
NO → Ask: Are there 100+ operations with dependencies?
YES → Use MCP (2-4 hours minimum) └── Build server with schema validation └── Include domain knowledge └── Handle complex error cases
NO → Try Skill first └── May need MCP later if complexity growsCommon Mistakes I Made
Mistake 1: Building MCP for Simple Things
I built an MCP server for file operations. Read, write, move files. Total overkill.
A simple skill would have worked:
---name: file-organizerdescription: Organize files by extension into folders---
Organize the specified directory:1. Scan all files2. Create folders by extension (images/, documents/, code/)3. Move files to appropriate folders4. Report summary of changesClaude knows file operations. It just needed guidance on what I wanted.
Mistake 2: Ignoring YAGNI
I kept adding MCP servers “just in case.” Building infrastructure for problems I might have someday.
The result: maintenance burden, context bloat, slower responses.
Now I follow a different rule: Start with Skills. Graduate to MCP only when proven necessary.
Mistake 3: Under-engineering Complex Integrations
I tried to use a Skill for AWS VPC creation. The prompt was a disaster:
"Use AWS CLI to create VPC with subnets, route tables,security groups, and proper CIDR block allocation..."Claude got confused. CIDR blocks overlapped. Route tables had wrong associations. Security groups didn’t attach properly.
This needed an MCP server with real domain knowledge:
- Validating CIDR block relationships
- Understanding subnet-to-AZ mapping
- Orchestrating resource creation order
- Handling IAM permissions
Some problems need structure, not just instructions.
The Hybrid Approach
My current setup uses both:
| Task Type | Tool | Reason |
|---|---|---|
| git operations | Skill | Claude knows git |
| npm/yarn | Skill | Claude knows package managers |
| docker commands | Skill | Well-documented CLI |
| AWS operations | MCP | Complex, needs validation |
| Database queries | MCP | Connection handling, transactions |
| File organization | Skill | Simple operations |
I also use a routing skill to dispatch to the right tool:
---name: dodescription: Intelligent routing to skills, agents, and pipelines---
Parse user intent from: $ARGUMENTS
Route to appropriate handler:- File operations → file-organizer skill- Database queries → database-mcp server- Code review → code-reviewer agent- Testing → tdd-guide agentThis lets me use /do organize downloads folder without remembering which tool handles what.
Time Investment Comparison
The biggest practical difference is development time:
| Aspect | Skills | MCP Servers |
|---|---|---|
| Initial setup | 5-10 minutes | 2-4 hours minimum |
| File format | Markdown | TypeScript/Python/etc |
| Deployment | Drop in folder | Build, deploy, debug |
| Maintenance | Edit text file | Code changes, dependencies |
| Sharing | Copy file | Deploy infrastructure |
This isn’t to say MCP is bad. MCP is powerful. But power comes with cost.
Development Velocity Impact
I track how long things take:
-
Skill for git workflow: 8 minutes from idea to working
-
MCP server for git: 3 hours, and I abandoned it when I realized Claude already knew git
-
Skill for simple file processing: 5 minutes
-
MCP server for file processing: Would have taken 2+ hours
-
Skill for AWS VPC creation: Didn’t work, wasted 30 minutes trying
-
MCP server for AWS: 4 hours but actually works correctly
The pattern: Skills are fast to try, MCP is slow but handles complexity.
What I Recommend
- Default to Skills: Start here for 80% of use cases
- Watch for complexity: If a skill grows to 500+ lines, reconsider
- Evaluate MCP need: Does the tool have 100+ operations with relationships?
- Use hybrid routing: A
/doskill that dispatches to appropriate tools - Remember YAGNI: Don’t build MCP servers for problems you don’t have yet
Getting Started
If you’re new to extending Claude:
- Try a Skill first for any tool
- If Claude struggles, check if it’s a complexity issue
- Only build MCP when Skills fundamentally can’t handle the task
- Keep Skills small and focused
- Name Skills clearly so you remember what they do
The goal isn’t to use the “right” technology. The goal is to solve problems efficiently.
Final Words + More Resources
My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me
Here are also the most important links from this article along with some further resources that will help you in this scope:
- 👨💻 Model Context Protocol Documentation
- 👨💻 Claude Skills Guide
- 👨💻 Reddit Discussion on MCP vs Skills
- 👨💻 YAGNI Principle
Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!
Comments