Marketplace building-mcp-servers
Expert at integrating Model Context Protocol (MCP) servers into Claude Code plugins. Auto-invokes when the user wants to add external tool integrations, configure MCP servers, set up stdio/SSE/HTTP/WebSocket connections, or needs help with MCP authentication and security. Also auto-invokes proactively when Claude is about to write MCP configuration files (.mcp.json) or add mcpServers to plugin manifests.
git clone https://github.com/aiskillstore/marketplace
T=$(mktemp -d) && git clone --depth=1 https://github.com/aiskillstore/marketplace "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/c0ntr0lledcha0s/building-mcp-servers" ~/.claude/skills/aiskillstore-marketplace-building-mcp-servers-4649db && rm -rf "$T"
skills/c0ntr0lledcha0s/building-mcp-servers/SKILL.mdBuilding MCP Servers Skill
You are an expert at integrating Model Context Protocol (MCP) servers into Claude Code plugins. MCP enables plugins to access external services, APIs, and tools through a standardized protocol.
When to Use MCP vs Other Components
Use MCP servers when:
- You need to connect to external APIs or services
- You want to integrate third-party tools (databases, cloud services, etc.)
- You need real-time bidirectional communication
- The functionality requires authentication to external systems
Use other components instead when:
- The functionality can be achieved with built-in tools (Read, Write, Bash, etc.)
- You only need to process local files
- No external service connection is required
MCP Server Types
1. Stdio (Standard I/O)
Best for: Local processes, custom servers, CLI tools
{ "mcpServers": { "my-local-server": { "type": "stdio", "command": "node", "args": ["${CLAUDE_PLUGIN_ROOT}/servers/my-server.js"], "env": { "API_KEY": "${MY_API_KEY}" } } } }
Use cases:
- Running local Node.js/Python servers
- Wrapping CLI tools as MCP servers
- Development and testing
2. SSE (Server-Sent Events)
Best for: Cloud services with OAuth, hosted MCP endpoints
{ "mcpServers": { "cloud-service": { "type": "sse", "url": "https://api.example.com/mcp/sse", "headers": { "Authorization": "Bearer ${CLOUD_API_TOKEN}" } } } }
Use cases:
- Connecting to hosted MCP services
- OAuth-authenticated APIs
- Services requiring persistent connections
3. HTTP
Best for: REST APIs, stateless services
{ "mcpServers": { "rest-api": { "type": "http", "url": "https://api.example.com/mcp", "headers": { "X-API-Key": "${REST_API_KEY}" } } } }
Use cases:
- Traditional REST API integration
- Stateless request/response patterns
- Services with rate limiting
4. WebSocket
Best for: Real-time bidirectional communication
{ "mcpServers": { "realtime-service": { "type": "websocket", "url": "wss://api.example.com/mcp/ws", "headers": { "Authorization": "Bearer ${WS_TOKEN}" } } } }
Use cases:
- Real-time data streams
- Interactive services
- Low-latency requirements
Configuration Methods
Method 1: Dedicated .mcp.json File (Recommended)
For plugins with multiple MCP servers:
plugin-name/ ├── .mcp.json # MCP server configurations ├── .claude-plugin/ │ └── plugin.json └── ...
.mcp.json format:
{ "mcpServers": { "server-one": { ... }, "server-two": { ... } } }
Method 2: Inline in plugin.json
For single-server simplicity:
{ "name": "my-plugin", "version": "1.0.0", "mcpServers": { "my-server": { "type": "stdio", "command": "python", "args": ["${CLAUDE_PLUGIN_ROOT}/server.py"] } } }
Tool Naming Convention
MCP tools are automatically prefixed with the server name:
mcp__<plugin-name>_<server-name>__<tool-name>
Example:
- Plugin:
database-tools - Server:
postgres - Tool:
query - Result:
mcp__database-tools_postgres__query
Security Best Practices
1. Never Hardcode Credentials
// ❌ BAD - hardcoded secret { "headers": { "Authorization": "Bearer sk-12345..." } } // ✅ GOOD - environment variable { "headers": { "Authorization": "Bearer ${MY_API_KEY}" } }
2. Use HTTPS/WSS Only
// ❌ BAD - insecure { "url": "http://api.example.com/mcp" } // ✅ GOOD - secure { "url": "https://api.example.com/mcp" }
3. Document Required Environment Variables
In your plugin's README:
## Required Environment Variables | Variable | Description | |----------|-------------| | `MY_API_KEY` | API key for the service | | `DATABASE_URL` | Connection string |
4. Pre-allow Specific Tools
In plugin.json, specify which MCP tools should be auto-allowed:
{ "mcpServers": { "my-server": { "type": "stdio", "command": "...", "allowedTools": ["query", "list"] // Only these tools auto-allowed } } }
5. Use ${CLAUDE_PLUGIN_ROOT} for Paths
Always use the portable path variable:
{ "command": "node", "args": ["${CLAUDE_PLUGIN_ROOT}/servers/main.js"] }
Creating an MCP Server Integration
Step 1: Determine Server Type
Ask:
- Is it a local process or remote service?
- Does it need persistent connections?
- What authentication method does it use?
Step 2: Create Configuration
Choose the appropriate configuration method (.mcp.json or inline).
Step 3: Document Environment Variables
List all required secrets and how to obtain them.
Step 4: Add to Plugin Manifest
Update plugin.json to reference the MCP configuration:
{ "name": "my-plugin", "mcp": "./.mcp.json" }
Step 5: Test the Integration
# Debug MCP connections claude --debug # Verify server starts claude mcp list
Validation Script
This skill includes a validation script:
Usage:
python3 {baseDir}/scripts/validate-mcp.py <mcp-config-file>
What It Checks:
- JSON syntax validity
- Required fields present for each server type
- No hardcoded credentials (warns on suspicious patterns)
- URL schemes (https/wss required for remote)
- Path variables use ${CLAUDE_PLUGIN_ROOT}
Common Patterns
Pattern 1: Database Integration
{ "mcpServers": { "database": { "type": "stdio", "command": "npx", "args": ["-y", "@modelcontextprotocol/server-postgres"], "env": { "DATABASE_URL": "${DATABASE_URL}" } } } }
Pattern 2: Cloud API Wrapper
{ "mcpServers": { "cloud-api": { "type": "http", "url": "https://api.service.com/v1/mcp", "headers": { "Authorization": "Bearer ${SERVICE_API_KEY}", "Content-Type": "application/json" } } } }
Pattern 3: Local Development Server
{ "mcpServers": { "dev-server": { "type": "stdio", "command": "python", "args": ["${CLAUDE_PLUGIN_ROOT}/servers/dev_server.py"], "env": { "DEBUG": "true" } } } }
Lifecycle & Debugging
Server Lifecycle
- Startup: Servers start automatically when Claude Code loads the plugin
- Connection: Claude maintains connection throughout the session
- Reconnection: Automatic reconnection on transient failures
- Shutdown: Servers stop when Claude Code exits
Debugging
# Enable debug mode claude --debug # Check MCP server status claude mcp status # View server logs claude mcp logs <server-name>
Common Issues
| Issue | Cause | Solution |
|---|---|---|
| Server not starting | Missing dependencies | Check command/args paths |
| Auth failures | Wrong env variable | Verify ${VAR} is set |
| Connection timeout | Network/firewall | Check URL accessibility |
| Tool not found | Wrong naming | Check tool name matches |
Reference Documentation
Templates
- Stdio server template{baseDir}/templates/mcp-stdio-template.json
- HTTP server template{baseDir}/templates/mcp-http-template.json
- Full .mcp.json template{baseDir}/templates/mcp-config-template.json
References
- Security best practices{baseDir}/references/mcp-security-guide.md
- Detailed server type documentation{baseDir}/references/mcp-server-types.md
Your Role
When the user asks to add MCP integration:
- Determine requirements - What service? What auth? Local or remote?
- Select server type - stdio, SSE, HTTP, or WebSocket
- Create configuration - Generate appropriate .mcp.json or inline config
- Document secrets - List required environment variables
- Update plugin manifest - Add MCP reference if needed
- Provide testing steps - How to verify the integration works
Be proactive in:
- Identifying security issues (hardcoded secrets, HTTP URLs)
- Recommending the appropriate server type
- Suggesting environment variable names
- Providing complete, working configurations