mcp-server-skills▌
gocallum/nextjs16-agent-skills · updated Apr 8, 2026
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Goal: Keep route.ts minimal. Put logic + Zod schemas in lib/* so both the MCP handler and server actions share a single source of truth.
Links
- Model Context Protocol: https://modelcontextprotocol.io/
- mcp-handler (HTTP): https://www.npmjs.com/package/mcp-handler
- Reference implementation (Roll Dice): https://github.com/gocallum/rolldice-mcpserver
- Claude Desktop + mcp-remote bridge: https://www.npmjs.com/package/mcp-remote
Folder Structure (Next.js App Router)
app/
api/[transport]/route.ts # One handler for all transports (e.g., /api/mcp)
actions/mcp-actions.ts # Server actions reusing the same logic/schemas
lib/
dice.ts | tools.ts # Zod schemas, tool definitions, pure logic
components/ # UI that calls server actions for web testing
Goal: Keep route.ts minimal. Put logic + Zod schemas in lib/* so both the MCP handler and server actions share a single source of truth.
Shared Zod Schema + Tool Definition
// lib/dice.ts
import { z } from "zod";
export const diceSchema = z.number().int().min(2);
export function rollDice(sides: number) {
const validated = diceSchema.parse(sides);
const value = 1 + Math.floor(Math.random() * validated);
return { type: "text" as const, text: `🎲 You rolled a ${value}!` };
}
export const rollDiceTool = {
name: "roll_dice",
description: "Rolls an N-sided die",
schema: { sides: diceSchema },
} as const;
Reusable Server Actions (Web UI + Tests)
// app/actions/mcp-actions.ts
"use server";
import { rollDice as rollDiceCore, rollDiceTool } from "@/lib/dice";
export async function rollDice(sides: number) {
try {
const result = rollDiceCore(sides);
return { success: true, result: { content: [result] } };
} catch {
return {
success: false,
error: { code: -32602, message: "Invalid parameters: sides must be >= 2" },
};
}
}
export async function listTools() {
return {
success: true,
result: {
tools: [
{
name: rollDiceTool.name,
description: rollDiceTool.description,
inputSchema: {
type: "object",
properties: { sides: { type: "number", minimum: 2 } },
required: ["sides"],
},
},
],
},
};
}
Server actions call the same logic as the MCP handler and power the web UI, keeping responses aligned.
Lightweight MCP Route
// app/api/[transport]/route.ts
import { createMcpHandler } from "mcp-handler";
import { rollDice, rollDiceTool } from "@/lib/dice";
const handler = createMcpHandler(
(server) => {
server.tool(
rollDiceTool.name,
rollDiceTool.description,
rollDiceTool.schema,
async ({ sides }) => ({ content: [rollDice(sides)] }),
);
},
{}, // server options
{
basePath: "/api", // must match folder path
maxDuration: 60,
verboseLogs: true,
},
);
export { handler as GET, handler as POST };
Pattern highlights
- Route only wires
createMcpHandler; no business logic inline. server.toolconsumes the shared tool schema/description and calls shared logic.basePathshould align with the folder (e.g.,/api/[transport]).- Works for SSE/HTTP transports; stdio can be added separately if needed.
Claude Desktop Config (mcp-remote)
{
"mcpServers": {
"rolldice": {
"command": "npx",
"args": ["-y", "mcp-remote", "http://localhost:3000/api/mcp"]
}
}
}
Best Practices
- Single source of truth — schemas + logic in
lib/*; both MCP tools and server actions import them. - Validation first — use Zod for inputs and reuse the same schema for UI + MCP.
- Keep route.ts light — only handler wiring, logging, and transport config.
- Shared responses — standardize
{ success, result | error }shapes for tools and UI. - Vercel-friendly — avoid stateful globals; configure
maxDurationandruntimeif needed. - Multiple transports — expose
/api/[transport]for HTTP/SSE; add stdio entrypoint when required. - Local testing — hit server actions from the web UI to ensure MCP responses stay in sync.
How to use mcp-server-skills on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add mcp-server-skills
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches mcp-server-skills from GitHub repository gocallum/nextjs16-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate mcp-server-skills. Access the skill through slash commands (e.g., /mcp-server-skills) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★29 reviews- ★★★★★Dhruvi Jain· Dec 20, 2024
We added mcp-server-skills from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Diya Kim· Dec 8, 2024
mcp-server-skills fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Noor Brown· Dec 4, 2024
Useful defaults in mcp-server-skills — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ishan Diallo· Nov 27, 2024
I recommend mcp-server-skills for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Oshnikdeep· Nov 11, 2024
mcp-server-skills reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kwame Gupta· Oct 18, 2024
Solid pick for teams standardizing on skills: mcp-server-skills is focused, and the summary matches what you get after install.
- ★★★★★Ganesh Mohane· Oct 2, 2024
mcp-server-skills is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Diya Iyer· Sep 25, 2024
mcp-server-skills is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Isabella Jain· Sep 5, 2024
mcp-server-skills fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Isabella Smith· Aug 24, 2024
mcp-server-skills has been reliable in day-to-day use. Documentation quality is above average for community skills.
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