create-mcp-servers

name	create-mcp-servers
description	Create Model Context Protocol (MCP) servers that expose tools, resources, and prompts to Claude. Use when building custom integrations, APIs, data sources, or any server that Claude should interact with via the MCP protocol. Supports both TypeScript and Python implementations.
origin	https://raw.githubusercontent.com/glittercowboy/taches-cc-resources/main/skills/create-mcp-servers/SKILL.md

MCP servers extend Claude's capabilities by exposing tools, resources, and prompts. This skill guides creation of production-ready MCP servers with API integrations, OAuth authentication, response optimization, and proper installation in Claude Code and Claude Desktop.

<essential_principles>

<the_5_rules> Every MCP server must follow these:

1. Never Hardcode Secrets - Use ${VAR} expansion in configs, environment variables in code
2. Use cwd Property - Isolates dependencies (not --cwd in args)
3. Always Absolute Paths - which uv to find paths, never relative
4. One Server Per Directory - ~/Developer/mcp/{server-name}/
5. Use uv for Python - Better than pip, handles venvs automatically </the_5_rules>

<security_checklist>

• Never ask user to paste secrets into chat
• Always use environment variables for credentials
• Use ${VAR} expansion in configs
• Provide exact commands for user to run in terminal
• Verify environment variable existence without showing values
• Never hardcode API keys in code or configs </security_checklist>

<architecture_decision> Operation count determines architecture:

• 1-2 operations → Traditional pattern (flat tools)
• 3+ operations → On-demand discovery pattern (meta-tools)

Traditional: Each operation is a separate tool On-demand: 4 meta-tools (discover, get_schema, execute, continue) + operations.json </architecture_decision>

MCP servers expose: - **Tools**: Functions Claude can call (API requests, file operations, calculations) - **Resources**: Data Claude can read (files, database records, API responses) - **Prompts**: Reusable prompt templates with arguments

Standard location: ~/Developer/mcp/{server-name}/

</essential_principles>

Based on user intent, route to appropriate workflow:

No context provided (skill invoked without description): Use AskUserQuestion:

• header: "Mode"
• question: "What would you like to do?"
• options:
  • "Create a new MCP server" → workflows/create-new-server.md
  • "Update an existing MCP server" → workflows/update-existing-server.md
  • "Troubleshoot a server" → workflows/troubleshoot-server.md

Context provided (user described what they want): Route directly to workflows/create-new-server.md

<workflows_index>

Workflow	Purpose
create-new-server.md	Full 8-step workflow from intake to verification
update-existing-server.md	Modify or extend an existing server
troubleshoot-server.md	Diagnose and fix connection/runtime issues
</workflows_index>

<templates_index>

Template	Purpose
python-server.py	Traditional pattern starter for Python
typescript-server.ts	Traditional pattern starter for TypeScript
operations.json	On-demand discovery operations definition
</templates_index>

<scripts_index>

Script	Purpose
setup-python-project.sh	Initialize Python MCP project with uv
setup-typescript-project.sh	Initialize TypeScript MCP project with npm
</scripts_index>

<references_index> Core workflow:

• creation-workflow.md - Complete step-by-step with exact commands

Architecture patterns:

• traditional-pattern.md - For 1-2 operations (flat tools)
• large-api-pattern.md - For 3+ operations (on-demand discovery)

Language-specific:

• python-implementation.md - Async patterns, type hints
• typescript-implementation.md - Type safety, SDK features

Advanced topics:

• oauth-implementation.md - OAuth with stdio isolation
• response-optimization.md - Field truncation, pagination
• tools-and-resources.md - Resources API, prompts, streaming
• testing-and-deployment.md - Unit tests, packaging, publishing
• validation-checkpoints.md - All validation checks
• adaptive-questioning-guide.md - Question templates for intake
• api-research-template.md - API research document format </references_index>

<quick_reference>

# List servers
claude mcp list

# Add server (Python)
claude mcp add --transport stdio <name> \
  --env API_KEY='${API_KEY}' \
  -- uv --directory ~/Developer/mcp/<name> run python -m src.server

# Add server (TypeScript)
claude mcp add --transport stdio <name> \
  --env API_KEY='${API_KEY}' \
  -- node ~/Developer/mcp/<name>/build/index.js

# Remove server
claude mcp remove <name>

# Check logs
tail -f ~/Library/Logs/Claude/mcp-server-<name>.log

# Find paths
which uv && which node && which python

</quick_reference>

<troubleshooting_quick> Server not appearing: Check claude mcp list, verify config in ~/.claude/settings.json

"command not found": Use absolute paths from which uv / which node

Environment variable not found:

echo $MY_API_KEY  # Check if set
echo 'export MY_API_KEY="value"' >> ~/.zshrc && source ~/.zshrc

Secrets visible in conversation: STOP. Delete conversation. Rotate credentials. Never paste secrets in chat.

Full troubleshooting: workflows/troubleshoot-server.md </troubleshooting_quick>

<success_criteria> A production-ready MCP server has:

• Valid configuration in Claude Code (claude mcp list shows ✓ Connected)
• Valid configuration in Claude Desktop config
• Environment variables set securely in ~/.zshrc
• Architecture matches operation count
• OAuth stdio isolation if applicable
• Response optimization for list/search operations
• All validation checkpoints passed
• No errors in logs </success_criteria>