MCPInstall

mcp-development

MCP server development including tool design, resource endpoints, prompt templates, and transport configuration

Installs
181
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/rohitg00/awesome-claude-code-toolkit --skill mcp-development
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads mcp-development automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

MCP Development

MCP Server with Tools

import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";

const server = new McpServer({
  name: "project-tools",
  version: "1.0.0",
});

server.tool(
  "search_files",
  "Search for files matching a glob pattern in the project directory",
  {
    pattern: z.string().describe("Glob pattern (e.g., '**/*.ts')"),
    directory: z.string().optional().describe("Base directory to search from"),
  },
  async ({ pattern, directory }) => {
    const files = await glob(pattern, { cwd: directory ?? process.cwd() });
    return {
      content: [
        {
          type: "text",
          text: files.length > 0
            ? files.join("\n")
            : `No files found matching ${pattern}`,
        },
      ],
    };
  }
);

server.tool(
  "run_query",
  "Execute a read-only SQL query against the application database",
  {
    query: z.string().describe("SQL SELECT query to execute"),
    limit: z.number().default(100).describe("Maximum rows to return"),
  },
  async ({ query, limit }) => {
    if (!query.trim().toUpperCase().startsWith("SELECT")) {
      return {
        content: [{ type: "text", text: "Only SELECT queries are allowed" }],
        isError: true,
      };
    }
    const rows = await db.query(`${query} LIMIT ${limit}`);
    return {
      content: [{ type: "text", text: JSON.stringify(rows, null, 2) }],
    };
  }
);

Resources

server.resource(
  "schema",
  "db://schema",
  "Current database schema with all tables, columns, and relationships",
  async () => {
    const schema = await db.query(`
      SELECT table_name, column_name, data_type, is_nullable
      FROM information_schema.columns
      WHERE table_schema = 'public'
      ORDER BY table_name, ordinal_position
    `);
    return {
      contents: [
        {
          uri: "db://schema",
          mimeType: "application/json",
          text: JSON.stringify(schema, null, 2),
        },
      ],
    };
  }
);

server.resource(
  "config",
  "config://app",
  "Application configuration (secrets redacted)",
  async () => {
    const config = await loadConfig();
    const safe = redactSecrets(config);
    return {
      contents: [
        {
          uri: "config://app",
          mimeType: "application/json",
          text: JSON.stringify(safe, null, 2),
        },
      ],
    };
  }
);

Prompt Templates

server.prompt(
  "review-code",
  "Review code changes for bugs, security issues, and style",
  {
    diff: z.string().describe("Git diff or code to review"),
    focus: z.enum(["security", "performance", "style", "all"]).default("all"),
  },
  async ({ diff, focus }) => ({
    messages: [
      {
        role: "user",
        content: {
          type: "text",
          text: `Review this code diff. Focus: ${focus}\n\n${diff}`,
        },
      },
    ],
  })
);

Client Configuration

{
  "mcpServers": {
    "project-tools": {
      "command": "node",
      "args": ["./mcp-server/dist/index.js"],
      "env": {
        "DATABASE_URL": "postgres://localhost:5432/app"
      }
    },
    "remote-server": {
      "url": "https://mcp.example.com/sse",
      "headers": {
        "Authorization": "Bearer ${MCP_TOKEN}"
      }
    }
  }
}

Transport Setup

import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";

const transport = new StdioServerTransport();
await server.connect(transport);

For HTTP-based servers, use the SSE transport for streaming responses to clients.

Anti-Patterns

  • Creating tools with vague descriptions that don't explain when to use them
  • Not validating inputs with Zod schemas before processing
  • Returning raw error stack traces to the client
  • Missing isError: true flag on error responses
  • Creating too many fine-grained tools instead of composable ones
  • Not redacting secrets in resource responses

Checklist

  • Each tool has a clear description explaining when and why to use it
  • Input parameters validated with Zod schemas and descriptive messages
  • Error responses include isError: true with user-friendly messages
  • Resources expose read-only data with secrets redacted
  • Prompt templates provide structured starting points for common tasks
  • Server handles graceful shutdown on SIGINT/SIGTERM
  • Tools are composable (do one thing well) rather than monolithic
  • Client configuration documented with required environment variables

FAQ

What does the mcp-development skill do?

MCP server development including tool design, resource endpoints, prompt templates, and transport configuration

How do I install mcp-development?

Run npx skills add https://github.com/rohitg00/awesome-claude-code-toolkit --skill mcp-development in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/mcp-development/ (personal) or .claude/skills/mcp-development/ (project).

Which AI agents can use mcp-development?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is mcp-development safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains mcp-development?

It is published by rohitg00 in rohitg00/awesome-claude-code-toolkit. It has 181 recorded installs.

More from rohitg00/awesome-claude-code-toolkit

View all →

devops-automation

rohitg00/awesome-claude-code-toolkit

CI/CD pipeline design with GitHub Actions, Docker, Kubernetes, Helm, and GitOps patterns

DevOps & Cloud267 installs

accessibility-wcag

rohitg00/awesome-claude-code-toolkit

Web accessibility patterns for WCAG 2.2 compliance including ARIA, keyboard navigation, screen readers, and testing

Frontend & Design225 installs

database-optimization

rohitg00/awesome-claude-code-toolkit

Query optimization, indexing strategies, and database performance tuning for PostgreSQL and MySQL

Data & Databases211 installs

react-patterns

rohitg00/awesome-claude-code-toolkit

React 19 patterns including Server Components, Actions, Suspense, hooks, and component composition

Frontend & Design211 installs

websocket-realtime

rohitg00/awesome-claude-code-toolkit

Real-time communication patterns with WebSocket, Socket.io, Server-Sent Events, and scaling strategies

Backend & APIs210 installs

python-best-practices

rohitg00/awesome-claude-code-toolkit

Pythonic code with modern type hints, dataclasses, async patterns, packaging, and testing

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs