mcp-integration

name

mcp-integration

description

This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.

MCP Integration for Claude Code Plugins

Overview

Model Context Protocol (MCP) enables Claude Code plugins to integrate with external services and APIs by providing structured tool access. Use MCP integration to expose external service capabilities as tools within Claude Code.

Key capabilities:

• Connect to external services (databases, APIs, file systems)
• Provide 10+ related tools from a single service
• Handle OAuth and complex authentication flows
• Bundle MCP servers with plugins for automatic setup

Transport Status (2026): HTTP (streamable) is the recommended remote transport. SSE is being phased out in favor of HTTP. stdio remains the standard for local servers.

MCP Server Configuration Methods

Plugins can bundle MCP servers in two ways:

Method 1: Dedicated .mcp.json (Recommended)

Create .mcp.json at plugin root:

{
  "database-tools": {
    "command": "${CLAUDE_PLUGIN_ROOT}/servers/db-server",
    "args": ["--config", "${CLAUDE_PLUGIN_ROOT}/config.json"],
    "env": {
      "DB_URL": "${DB_URL}"
    }
  }
}

Benefits:

• Clear separation of concerns
• Easier to maintain
• Better for multiple servers

Method 2: Inline in plugin.json

Add mcpServers field to plugin.json:

{
  "name": "my-plugin",
  "version": "1.0.0",
  "mcpServers": {
    "plugin-api": {
      "command": "${CLAUDE_PLUGIN_ROOT}/servers/api-server",
      "args": ["--port", "8080"]
    }
  }
}

Benefits:

• Single configuration file
• Good for simple single-server plugins

MCP Server Types

stdio (Local Process)

Execute local MCP servers as child processes. Best for local tools and custom servers.

Configuration:

{
  "filesystem": {
    "command": "npx",
    "args": ["-y", "@modelcontextprotocol/server-filesystem", "/allowed/path"],
    "env": {
      "LOG_LEVEL": "debug"
    }
  }
}

Use cases:

• File system access
• Local database connections
• Custom MCP servers
• NPM-packaged MCP servers

Process management:

• Claude Code spawns and manages the process
• Communicates via stdin/stdout
• Terminates when Claude Code exits

HTTP (REST API)

Recommended for remote MCP servers. HTTP (streamable) is the primary remote transport.

Connect to RESTful MCP servers with token or OAuth authentication.

Configuration:

{
  "api-service": {
    "type": "http",
    "url": "https://api.example.com/mcp",
    "headers": {
      "Authorization": "Bearer ${API_TOKEN}"
    }
  }
}

HTTP now supports OAuth flows in addition to token auth.

Use cases:

• REST API-based MCP servers
• Token-based or OAuth authentication
• Custom API backends
• Stateless interactions

SSE (Server-Sent Events)

Note: SSE transport is being phased out. For new remote integrations, prefer HTTP (streamable) transport. Existing SSE configurations continue to work.

Connect to hosted MCP servers with OAuth support. Best for cloud services.

Configuration:

{
  "asana": {
    "type": "sse",
    "url": "https://mcp.asana.com/sse"
  }
}

Use cases:

• Official hosted MCP servers (Asana, GitHub, etc.)
• Cloud services with MCP endpoints
• OAuth-based authentication
• No local installation needed

Authentication:

• OAuth flows handled automatically
• User prompted on first use
• Tokens managed by Claude Code

WebSocket (Real-time)

Connect to WebSocket MCP servers for real-time bidirectional communication.

Configuration:

{
  "realtime-service": {
    "type": "ws",
    "url": "wss://mcp.example.com/ws",
    "headers": {
      "Authorization": "Bearer ${TOKEN}"
    }
  }
}

Use cases:

• Real-time data streaming
• Persistent connections
• Push notifications from server
• Low-latency requirements

Environment Variable Expansion

All MCP configurations support environment variable substitution:

${CLAUDE_PLUGIN_ROOT} - Plugin directory (always use for portability):

{
  "command": "${CLAUDE_PLUGIN_ROOT}/servers/my-server"
}

User environment variables - From user's shell:

{
  "env": {
    "API_KEY": "${MY_API_KEY}",
    "DATABASE_URL": "${DB_URL}"
  }
}

Best practice: Document all required environment variables in plugin README.

MCP Tool Naming

When MCP servers provide tools, they're automatically prefixed:

Format: mcp__plugin_<plugin-name>_<server-name>__<tool-name>

Example:

• Plugin: asana
• Server: asana
• Tool: create_task
• Full name: mcp__plugin_asana_asana__asana_create_task

Using MCP Tools in Commands

Pre-allow specific MCP tools in command frontmatter:

---
allowed-tools: [
  "mcp__plugin_asana_asana__asana_create_task",
  "mcp__plugin_asana_asana__asana_search_tasks"
]
---

Wildcard (use sparingly):

---
allowed-tools: ["mcp__plugin_asana_asana__*"]
---

Best practice: Pre-allow specific tools, not wildcards, for security.

MCP Tool Search

When plugins provide many MCP tools (more than 10% of context window), Claude Code automatically enables tool search to find relevant tools efficiently.

Auto-enabled: When tool count exceeds threshold Manual control: Set ENABLE_TOOL_SEARCH=1 or ENABLE_TOOL_SEARCH=0 environment variable

Implications for plugin developers:

• Write clear, descriptive tool names and descriptions
• Tools with better descriptions are found more reliably
• Large tool sets benefit from logical naming conventions

MCP Prompts as Commands

MCP servers can expose prompts that appear as slash commands in Claude Code:

Format: /mcp__servername__promptname

Example: If server mytools exposes a prompt analyze-code:

/mcp__mytools__analyze-code

For plugin developers: If your MCP server exposes prompts, document the available prompt commands in your README.

MCP Resources

MCP servers can expose resources accessible via @ syntax:

Format: @server:protocol://resource/path

Example:

@mydb:postgres://tables/users
@docs:file://api-reference.md

For plugin developers: Document available resources and their URI formats in your README.

Dynamic Tool Updates

MCP servers can notify Claude Code when their tool list changes via list_changed notifications. This allows tools to be added or removed without restarting Claude Code.

For server developers: Implement the list_changed notification in your MCP server to support dynamic tool registration.

Lifecycle Management

Automatic startup:

• MCP servers start when plugin enables
• Connection established before first tool use
• Restart required for configuration changes

Lifecycle:

1. Plugin loads
2. MCP configuration parsed
3. Server process started (stdio) or connection established (SSE/HTTP/WS)
4. Tools discovered and registered
5. Tools available as mcp__plugin_...__...

Viewing servers: Use /mcp command to see all servers including plugin-provided ones.

Authentication Patterns

OAuth (SSE/HTTP)

OAuth handled automatically by Claude Code:

{
  "type": "sse",
  "url": "https://mcp.example.com/sse"
}

User authenticates in browser on first use. No additional configuration needed.

Token-Based (Headers)

Static or environment variable tokens:

{
  "type": "http",
  "url": "https://api.example.com",
  "headers": {
    "Authorization": "Bearer ${API_TOKEN}"
  }
}

Document required environment variables in README.

OAuth CLI Flags

For custom OAuth configurations, use CLI flags when adding MCP servers:

claude mcp add my-server --transport http \
  --url https://api.example.com/mcp \
  --client-id "${CLIENT_ID}" \
  --client-secret "${CLIENT_SECRET}"

These flags set custom OAuth client credentials for MCP servers that don't use the default OAuth discovery.

Environment Variables (stdio)

Pass configuration to MCP server:

{
  "command": "python",
  "args": ["-m", "my_mcp_server"],
  "env": {
    "DATABASE_URL": "${DB_URL}",
    "API_KEY": "${API_KEY}",
    "LOG_LEVEL": "info"
  }
}

Integration Patterns

Pattern 1: Simple Tool Wrapper

Commands use MCP tools with user interaction:

# Command: create-item.md
---
allowed-tools: ["mcp__plugin_name_server__create_item"]
---

Steps:
1. Gather item details from user
2. Use mcp__plugin_name_server__create_item
3. Confirm creation

Use for: Adding validation or preprocessing before MCP calls.

Pattern 2: Autonomous Agent

Agents use MCP tools autonomously:

# Agent: data-analyzer.md

Analysis Process:
1. Query data via mcp__plugin_db_server__query
2. Process and analyze results
3. Generate insights report

Use for: Multi-step MCP workflows without user interaction.

Pattern 3: Multi-Server Plugin

Integrate multiple MCP servers:

{
  "github": {
    "type": "sse",
    "url": "https://mcp.github.com/sse"
  },
  "jira": {
    "type": "sse",
    "url": "https://mcp.jira.com/sse"
  }
}

Use for: Workflows spanning multiple services.

Security Best Practices

Use HTTPS/WSS

Always use secure connections:

✅ "url": "https://mcp.example.com/sse"
❌ "url": "http://mcp.example.com/sse"

Token Management

DO:

• ✅ Use environment variables for tokens
• ✅ Document required env vars in README
• ✅ Let OAuth flow handle authentication

DON'T:

• ❌ Hardcode tokens in configuration
• ❌ Commit tokens to git
• ❌ Share tokens in documentation

Permission Scoping

Pre-allow only necessary MCP tools:

✅ allowed-tools: [
  "mcp__plugin_api_server__read_data",
  "mcp__plugin_api_server__create_item"
]

❌ allowed-tools: ["mcp__plugin_api_server__*"]

Error Handling

Connection Failures

Handle MCP server unavailability:

• Provide fallback behavior in commands
• Inform user of connection issues
• Check server URL and configuration

Tool Call Errors

Handle failed MCP operations:

• Validate inputs before calling MCP tools
• Provide clear error messages
• Check rate limiting and quotas

Configuration Errors

Validate MCP configuration:

• Test server connectivity during development
• Validate JSON syntax
• Check required environment variables

Performance Considerations

Lazy Loading

MCP servers connect on-demand:

• Not all servers connect at startup
• First tool use triggers connection
• Connection pooling managed automatically

Batching

Batch similar requests when possible:

# Good: Single query with filters
tasks = search_tasks(project="X", assignee="me", limit=50)

# Avoid: Many individual queries
for id in task_ids:
    task = get_task(id)

Testing MCP Integration

Local Testing

1. Configure MCP server in .mcp.json
2. Install plugin locally (.claude-plugin/)
3. Run /mcp to verify server appears
4. Test tool calls in commands
5. Check claude --debug logs for connection issues

Validation Checklist

• MCP configuration is valid JSON
• Server URL is correct and accessible
• Required environment variables documented
• Tools appear in /mcp output
• Authentication works (OAuth or tokens)
• Tool calls succeed from commands
• Error cases handled gracefully

Debugging

Enable Debug Logging

claude --debug

Look for:

• MCP server connection attempts
• Tool discovery logs
• Authentication flows
• Tool call errors

Common Issues

Server not connecting:

• Check URL is correct
• Verify server is running (stdio)
• Check network connectivity
• Review authentication configuration

Tools not available:

• Verify server connected successfully
• Check tool names match exactly
• Run /mcp to see available tools
• Restart Claude Code after config changes

Authentication failing:

• Clear cached auth tokens
• Re-authenticate
• Check token scopes and permissions
• Verify environment variables set

Exposing Claude Code as MCP Server

Use claude mcp serve to expose Claude Code itself as an MCP server, allowing other tools or editors to use Claude Code's capabilities:

claude mcp serve

This is useful for integrating Claude Code into existing MCP-compatible workflows.

Importing from Claude Desktop

Import MCP server configurations from Claude Desktop:

claude mcp add-from-claude-desktop

This copies MCP server configurations from Claude Desktop to Claude Code, avoiding duplicate setup.

Enterprise and Managed MCP

Organizations can manage MCP server configurations centrally:

Managed configuration: managed-mcp.json deployed by IT Allow/deny lists:

• allowedMcpServers — Only these servers can be used
• deniedMcpServers — These servers are blocked

Plugin developer guidance:

• Document enterprise compatibility in your README
• Provide server names that IT teams can add to allow lists
• Support configuration via environment variables for enterprise environments
• Handle gracefully when servers are blocked by managed policy

MCP Environment Variables

Variable	Default	Description
MAX_MCP_OUTPUT_TOKENS	25,000	Maximum tokens in MCP tool output
MCP_TIMEOUT	60s	Connection timeout for MCP servers
ENABLE_TOOL_SEARCH	auto	Force enable/disable tool search (1/0)

For plugin developers: If your MCP server returns large outputs, document MAX_MCP_OUTPUT_TOKENS in your README.

Quick Reference

MCP Server Types

Type	Transport	Best For	Auth	Status
stdio	Process	Local tools, custom servers	Env vars	Stable
HTTP	REST	Remote servers, APIs	OAuth/Tokens	Recommended
SSE	HTTP/SSE	Hosted services	OAuth	Phasing out
ws	WebSocket	Real-time, streaming	Tokens	Stable

Configuration Checklist

• Server type specified (stdio/SSE/HTTP/ws)
• Type-specific fields complete (command or url)
• Authentication configured
• Environment variables documented
• HTTPS/WSS used (not HTTP/WS)
• ${CLAUDE_PLUGIN_ROOT} used for paths

Best Practices

DO:

• ✅ Use ${CLAUDE_PLUGIN_ROOT} for portable paths
• ✅ Document required environment variables
• ✅ Use secure connections (HTTPS/WSS)
• ✅ Pre-allow specific MCP tools in commands
• ✅ Test MCP integration before publishing
• ✅ Handle connection and tool errors gracefully

DON'T:

• ❌ Hardcode absolute paths
• ❌ Commit credentials to git
• ❌ Use HTTP instead of HTTPS
• ❌ Pre-allow all tools with wildcards
• ❌ Skip error handling
• ❌ Forget to document setup

Additional Resources

Reference Files

For detailed information, consult:

• references/server-types.md - Deep dive on each server type
• references/authentication.md - Authentication patterns and OAuth
• references/tool-usage.md - Using MCP tools in commands and agents
• references/enterprise-mcp.md - Enterprise MCP configuration guide

Example Configurations

Working examples in examples/:

• stdio-server.json - Local stdio MCP server
• http-oauth-server.json - HTTP server with OAuth (recommended)
• sse-server.json - Hosted SSE server with OAuth (phasing out)
• http-server.json - REST API with token auth

External Resources

• Official MCP Docs: https://modelcontextprotocol.io/
• Claude Code MCP Docs: https://docs.claude.com/en/docs/claude-code/mcp
• MCP SDK: @modelcontextprotocol/sdk
• Testing: Use claude --debug and /mcp command

Implementation Workflow

To add MCP integration to a plugin:

1. Choose MCP server type (stdio, SSE, HTTP, ws)
2. Create .mcp.json at plugin root with configuration
3. Use ${CLAUDE_PLUGIN_ROOT} for all file references
4. Document required environment variables in README
5. Test locally with /mcp command
6. Pre-allow MCP tools in relevant commands
7. Handle authentication (OAuth or tokens)
8. Test error cases (connection failures, auth errors)
9. Document MCP integration in plugin README

Focus on stdio for custom/local servers, HTTP for remote services (preferred over SSE).