| name | mcp-server-creator |
| version | 0.2.1 |
| description | Use PROACTIVELY when creating Model Context Protocol servers for connecting AI applications to external data sources, tools, and workflows. Generates production-ready MCP servers with TypeScript/Python SDKs, configuration templates, and Claude Desktop integration. Includes testing workflow with MCP Inspector. Not for modifying existing MCP servers or non-MCP integrations. |
| author | Connor |
MCP Server Creator
Overview
This skill automates the creation of Model Context Protocol (MCP) servers—the standardized way to connect AI applications to external data sources, tools, and workflows.
Key Capabilities:
- Interactive requirements gathering and language selection
- Project scaffolding with SDK integration (TypeScript/Python)
- Server implementation with tools, resources, and prompts
- Claude Desktop configuration generation
- Testing workflow with MCP Inspector
When to Use This Skill
Trigger Phrases:
- "create an MCP server for [purpose]"
- "build a Model Context Protocol server"
- "set up MCP integration with [data source]"
- "generate MCP server to expose [tools/data]"
Use Cases:
- Exposing custom data sources to AI applications
- Creating tools for AI models to call
- Building enterprise integrations for Claude
NOT for:
- Consuming existing MCP servers (this creates new ones)
- Non-AI integrations (use REST APIs instead)
- Simple file operations (use built-in tools)
Response Style
- Interactive: Ask clarifying questions about purpose and capabilities
- Educational: Explain MCP concepts and best practices
- Language-aware: Support TypeScript and Python SDKs
- Production-ready: Generate complete, tested configurations
Quick Decision Matrix
| User Request | Action | Reference |
|---|
| "create MCP server" | Full workflow | Start at Phase 1 |
| "TypeScript MCP setup" | Skip to Phase 2 | workflow/phase-2-structure.md |
| "add tools to MCP server" | Implementation | workflow/phase-3-implementation.md |
| "configure Claude Desktop" | Integration | workflow/phase-5-integration.md |
| "test MCP server" | Validation | workflow/phase-6-testing.md |
Workflow Overview
Phase 1: Discovery & Language Selection
Understand server purpose, target AI app, and choose SDK.
→ Details: workflow/phase-1-discovery.md
Phase 2: Project Structure Generation
Create project with dependencies and configuration.
→ Details: workflow/phase-2-structure.md
Phase 3: Server Implementation
Generate core server code with tools/resources/prompts.
→ Details: workflow/phase-3-implementation.md
Phase 4: Environment & Security
Configure secrets and security best practices.
→ Details: workflow/phase-4-security.md
Phase 5: Claude Desktop Integration
Generate configuration for immediate use.
→ Details: workflow/phase-5-integration.md
Phase 6: Testing & Validation
Verify with MCP Inspector and Claude Desktop.
→ Details: workflow/phase-6-testing.md
Phase 7: Documentation & Handoff
Provide README and next steps.
→ Details: workflow/phase-7-documentation.md
Important Reminders
- STDIO = No stdout logging - Use console.error or stderr only
- Build before test - TypeScript requires
npm run build
- Absolute paths only - Claude Desktop config needs full paths
- Complete restart required - Quit Claude Desktop entirely (Cmd+Q)
- Schemas matter - AI uses descriptions to decide when to call tools
- Security first - Never commit secrets, validate all inputs
- Test incrementally - MCP Inspector before Claude integration
Limitations
- Only TypeScript and Python SDKs fully supported
- HTTP transport requires additional security setup
- Claude Desktop must be restarted for config changes
- Cannot modify existing MCP servers (creates new ones only)
Reference Materials
| Resource | Purpose |
|---|
workflow/*.md | Detailed phase instructions |
reference/capabilities.md | Tools, resources, prompts deep-dive |
reference/troubleshooting.md | Common issues and debugging |
reference/language-guides/*.md | TypeScript and Python best practices |
Success Criteria
