MCP Protocol Development Skill

Overview

This skill provides specialized guidance for implementing Model Context Protocol (MCP) integration functionality. It covers MCP server lifecycle management, JSON-RPC 2.0 communication, tool discovery via tools/list requests, schema analysis, and MCP subprocess management. This skill is essential for tasks involving MCP server interaction, protocol communication, and tool inspection.

Technologies: TypeScript, Node.js, MCP SDK (@modelcontextprotocol/sdk), JSON-RPC 2.0, child_process

Applicable to US-3 Tasks: TASK-3.1, TASK-3.2, TASK-3.3, TASK-3.4

Core Capabilities

• MCP Server Lifecycle: Start, monitor, and gracefully shutdown MCP server subprocesses
• JSON-RPC Communication: Send requests and parse responses following JSON-RPC 2.0 spec
• Tool Discovery: Query MCP for available tools using tools/list protocol
• Schema Parsing: Extract and analyze tool input/output schemas
• Process Management: Handle MCP subprocess with proper cleanup and error handling
• Protocol Validation: Ensure MCP responses conform to expected formats
• Timeout Handling: Implement timeouts for unresponsive MCP operations
• Error Recovery: Handle MCP startup failures, crashes, and protocol errors

Input Requirements

Required:

• Task details (ID, description, acceptance criteria)
• MCP installation path or configuration
• Target file paths for implementation
• MCP SDK version and protocol specification

Optional:

• Existing MCP connection utilities
• Configuration files for MCP settings
• Test fixtures for MCP responses

Output Format

Implementation Guidance Includes:

• TypeScript interface definitions for MCP protocol
• subprocess management code with spawn()
• JSON-RPC request/response handlers
• Tool schema parsing logic
• Error handling wrappers
• Unit test templates for MCP integration
• Example MCP interactions

Dependencies

Claude Code Tools Required:

• Read (for reviewing existing code and specs)
• Write (for creating new files)
• Edit (for modifying existing implementations)
• Bash (for running tests and installs)

External Dependencies:

• @modelcontextprotocol/sdk (MCP SDK)
• Node.js child_process module
• TypeScript strict mode
• Testing framework (Jest recommended)

Related Skills:

• None (this is a foundational skill for US-3)

Workflow

Step 1: Define MCP Data Models (TASK-3.1 pattern)

1. Create TypeScript interfaces for MCP protocol types:

   interface MCPTool {
     name: string;
     description: string;
     inputSchema: JSONSchema;
     outputSchema?: JSONSchema;
   }
   

2. Define JSON-RPC message types:

   • Request format with id, method, params
   • Response format with id, result/error
   • Error codes and messages

3. Add validation methods to interfaces:

   • Schema completeness checks
   • Required field validation
   • Type compatibility verification

4. Use TypeScript strict mode for type safety

Step 2: Implement MCP Server Lifecycle (TASK-3.2 pattern)

1. Start MCP subprocess using Node.js spawn():

   const mcp = spawn('node', [mcpPath], {
     stdio: ['pipe', 'pipe', 'pipe']
   });
   

2. Implement health check:

   • Send initialization request
   • Wait for ready response
   • Set timeout (30 seconds)

3. Add retry logic:

   • Max 3 retries for startup
   • Exponential backoff between retries
   • Clean up failed attempts

4. Graceful shutdown:

   • Send termination signal (SIGTERM)
   • Wait for clean exit
   • Force kill (SIGKILL) if needed
   • Prevent zombie processes

5. Capture stdio:

   • Log stdout for debugging
   • Capture stderr for errors
   • Parse JSON-RPC from stdout

Step 3: Implement Tool Discovery (TASK-3.3 pattern)

1. Send tools/list request:

   const request = {
     jsonrpc: '2.0',
     id: generateId(),
     method: 'tools/list',
     params: {}
   };
   

2. Parse response:

   • Validate JSON-RPC format
   • Extract tools array
   • Create MCPTool objects

3. Handle edge cases:

   • Empty tool list → warning
   • Invalid schema → best-effort parsing
   • Timeout → retry once, then fail

4. Cache results:

   • Store tools in memory
   • Invalidate on MCP restart

Step 4: Implement Schema Analysis (TASK-3.4 pattern)

1. Parse input schemas:

   • Extract properties and types
   • Identify required vs optional
   • Extract default values
   • Handle nested objects/arrays

2. Convert JSON Schema to readable format:

   • Map types (string, number, boolean, object, array)
   • Generate parameter descriptions
   • Format examples

3. Handle complex types:

   • Recursive schema traversal for nested
   • Union types (oneOf/anyOf)
   • Array item schemas
   • Circular reference detection

4. Validate completeness:

   • Check for missing descriptions
   • Flag unknown types
   • Warn about incomplete schemas

Step 5: Add Error Handling

1. MCP startup errors:

   • File not found → clear error message
   • Permission denied → guide user
   • Port already in use → suggest alternatives

2. Protocol errors:

   • Malformed JSON → log and skip
   • Invalid JSON-RPC → fail gracefully
   • Timeout → retry logic

3. Tool discovery errors:

   • Method not found → check MCP version
   • Empty response → warn user
   • Schema parse error → partial conversion

Step 6: Write Tests

1. Unit tests (with mocks):

   • Mock MCP subprocess
   • Test JSON-RPC request/response
   • Test schema parsing edge cases
   • Test error handling

2. Integration tests (with real or mock MCP):

   • Start MCP and discover tools
   • Handle startup failures
   • Test cleanup on errors

Example Usage

Example 1: Implement TASK-3.1 (Data Models)

Agent Request: "Use the mcp-protocol-development skill to implement TASK-3.1"

Skill Provides:

// File: src/models/mcp-tool.ts
interface MCPTool {
  name: string;
  description: string;
  inputSchema: {
    type: 'object';
    properties: Record<string, {
      type: string;
      description?: string;
      default?: any;
    }>;
    required?: string[];
  };
  outputSchema?: {
    type: string;
    description?: string;
  };
}

// Validation method
function isValidMCPTool(tool: any): tool is MCPTool {
  return (
    typeof tool.name === 'string' &&
    typeof tool.description === 'string' &&
    tool.inputSchema?.type === 'object'
  );
}

Example 2: Implement TASK-3.2 (MCP Lifecycle)

Agent Request: "Use the mcp-protocol-development skill to implement TASK-3.2"

Skill Provides:

// File: src/services/mcp-server-manager.ts
import { spawn, ChildProcess } from 'child_process';

class MCPServerManager {
  private process: ChildProcess | null = null;

  async start(mcpPath: string): Promise<void> {
    this.process = spawn('node', [mcpPath], {
      stdio: ['pipe', 'pipe', 'pipe']
    });

    // Set timeout for startup
    const startupPromise = this.waitForReady();
    const timeoutPromise = new Promise((_, reject) =>
      setTimeout(() => reject(new Error('MCP startup timeout')), 30000)
    );

    await Promise.race([startupPromise, timeoutPromise]);
  }

  async shutdown(): Promise<void> {
    if (!this.process) return;

    // Graceful shutdown
    this.process.kill('SIGTERM');

    // Force kill after 5s
    setTimeout(() => {
      if (this.process && !this.process.killed) {
        this.process.kill('SIGKILL');
      }
    }, 5000);
  }

  private async waitForReady(): Promise<void> {
    // Implementation for waiting for MCP ready signal
  }
}

Example 3: Implement TASK-3.3 (Tool Discovery)

Agent Request: "Use the mcp-protocol-development skill to implement TASK-3.3"

Skill Provides:

// File: src/services/mcp-tool-discovery.ts
async function discoverTools(mcpManager: MCPServerManager): Promise<MCPTool[]> {
  const request = {
    jsonrpc: '2.0',
    id: generateRequestId(),
    method: 'tools/list',
    params: {}
  };

  const response = await mcpManager.sendRequest(request);

  if (response.error) {
    throw new Error(`Tool discovery failed: ${response.error.message}`);
  }

  const tools: MCPTool[] = response.result.tools.map(parseTool);
  return tools;
}

Error Handling

Common Errors and Solutions

Error: MCP process fails to start

• Cause: Invalid MCP path, missing dependencies, permissions
• Solution: Validate path exists, check Node.js installed, verify file permissions
• Code: Check spawn error event and provide specific guidance

Error: JSON-RPC response timeout

• Cause: MCP hung, network issue, slow operation
• Solution: Implement timeout with retry, increase timeout threshold
• Code: Use Promise.race with timeout promise

Error: Malformed tool schema

• Cause: MCP returns invalid JSON Schema, missing fields
• Solution: Best-effort parsing with warnings, use defaults
• Code: Try-catch around schema parsing, log warnings

Error: Tool discovery returns empty list

• Cause: MCP has no tools, wrong MCP version, protocol mismatch
• Solution: Warn user, check MCP version, verify protocol compatibility
• Code: Check result.tools.length === 0, provide helpful message

Error: Zombie MCP processes

• Cause: Improper cleanup, crash during shutdown
• Solution: Track process IDs, implement cleanup on exit
• Code: Use process.on('exit', cleanup), ensure kill signals sent

Integration Points

With parse-spec-structure Skill

Receives task details to implement:

task = parsed_spec.tasks.find(t => t.id === 'TASK-3.1')
// Use task.acceptanceCriteria to guide implementation

With Implementation Agents

Backend agents invoke this skill:

# Backend agent implementing TASK-3.2
"Use the mcp-protocol-development skill to implement MCP server lifecycle management"

With Testing Skills

Generated code should be tested:

# After implementing with this skill
"Use the unit-testing skill to create tests for MCPServerManager"

With Project Architecture

Integrates with:

• src/models/ for data types
• src/services/ for MCP interaction services
• src/utils/ for JSON-RPC helpers
• tests/ for unit and integration tests