Mcp Integration

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name: mcp-integration description: Use Model Context Protocol servers to access external tools and data sources. Enable AI agents to discover and execute tools from configured MCP servers (legal databases, APIs, database connectors, weather services, etc.). license: MIT

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MCP Integration Usage Guide

Overview

Use the MCP integration plugin to discover and execute tools provided by external MCP servers. This skill enables you to access legal databases, query APIs, search databases, and integrate with any service that provides an MCP interface.

The plugin provides a unified mcp tool with two actions:

list - Discover available tools from all connected servers

call - Execute a specific tool with parameters

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Process

🔍 Phase 1: Tool Discovery

1.1 Check Available Tools

Always start by listing available tools to see what MCP servers are connected and what capabilities they provide.

Action:

{
  tool: "mcp",
  args: {
    action: "list"
  }
}

Response structure:

[
  {
    "id": "server:toolname",
    "server": "server-name",
    "name": "tool-name", 
    "description": "What this tool does",
    "inputSchema": {
      "type": "object",
      "properties": {...},
      "required": [...]
    }
  }
]

1.2 Understand Tool Schemas

For each tool, examine:

id: Format is "server:toolname" - split on : to get server and tool names

description: Understand what the tool does

inputSchema: JSON Schema defining parameters

- properties: Available parameters with types and descriptions - required: Array of mandatory parameter names

1.3 Match Tools to User Requests

Common tool naming patterns:

search_* - Find or search operations (e.g., search_statute, search_users)

get_* - Retrieve specific data (e.g., get_statute_full_text, get_weather)

query - Execute queries (e.g., database:query)

analyze_* - Analysis operations (e.g., analyze_law)

resolve_* - Resolve references (e.g., resolve_citation)

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🎯 Phase 2: Tool Execution

2.1 Validate Parameters

Before calling a tool: 1. Identify all required parameters from inputSchema.required 2. Verify parameter types match schema (string, number, boolean, array, object) 3. Check for constraints (minimum, maximum, enum values, patterns) 4. Ensure you have necessary information from the user

2.2 Construct Tool Call

Action:

{
  tool: "mcp",
  args: {
    action: "call",
    server: "",
    tool: "",
    args: {
      // Tool-specific parameters from inputSchema
    }
  }
}

Example - Korean legal search:

{
  tool: "mcp",
  args: {
    action: "call",
    server: "kr-legal",
    tool: "search_statute",
    args: {
      query: "연장근로 수당",
      limit: 5
    }
  }
}

2.3 Parse Response

Tool responses follow this structure:

{
  "content": [
    {
      "type": "text",
      "text": "JSON string or text result"
    }
  ],
  "isError": false
}

For JSON responses:

const data = JSON.parse(response.content[0].text);
// Access data.result, data.results, or direct properties

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🔄 Phase 3: Multi-Step Workflows

3.1 Chain Tool Calls

For complex requests, execute multiple tools in sequence:

Example - Legal research workflow: 1. Search - search_statute to find relevant laws 2. Retrieve - get_statute_full_text for complete text 3. Analyze - analyze_law for interpretation 4. Precedents - search_case_law for related cases

Each step uses output from the previous step to inform the next call.

3.2 Maintain Context

Between tool calls:

Extract relevant information from each response

Use extracted data as parameters for subsequent calls

Build up understanding progressively

Present synthesized results to user

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⚠ Phase 4: Error Handling

4.1 Common Errors

"Tool not found: server:toolname"

Cause: Server not connected or tool doesn't exist

Solution: Run action: "list" to verify available tools

Check spelling of server and tool names

"Invalid arguments for tool"

Cause: Missing required parameter or wrong type

Solution: Review inputSchema from list response

Ensure all required parameters provided with correct types

"Server connection failed"

Cause: MCP server not running or unreachable

Solution: Inform user service is temporarily unavailable

Suggest alternatives if possible

4.2 Error Response Format

Errors return:

{
  "content": [{"type": "text", "text": "Error: message"}],
  "isError": true
}

Handle gracefully:

Explain what went wrong clearly

Don't expose technical implementation details

Suggest next steps or alternatives

Don't retry excessively

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Complete Example

User Request: "Find Korean laws about overtime pay"

Step 1: Discover tools

{tool: "mcp", args: {action: "list"}}

Response shows kr-legal:search_statute with:

Required: query (string)

Optional: limit (number), category (string)

Step 2: Execute search

{
  tool: "mcp",
  args: {
    action: "call",
    server: "kr-legal",
    tool: "search_statute",
    args: {
      query: "연장근로 수당",
      category: "노동법",
      limit: 5
    }
  }
}

Step 3: Parse and present

const data = JSON.parse(response.content[0].text);
// Present data.results to user

User-facing response:

Found 5 Korean statutes about overtime pay:
1. 근로기준법 제56조 (연장·야간 및 휴일 근로)
   - Overtime work requires 50% premium
   
2. 근로기준법 제50조 (근로시간)
   - Standard working hours: 40 hours per week
Would you like me to retrieve the full text of any statute?

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Quick Reference

List Tools

{tool: "mcp", args: {action: "list"}}

Call Tool

{
  tool: "mcp",
  args: {
    action: "call",
    server: "server-name",
    tool: "tool-name",
    args: {param1: "value1"}
  }
}

Essential Patterns

Tool ID parsing: "server:toolname" → split on : for server and tool names

Parameter validation: Check inputSchema.required and inputSchema.properties[param].type

Response parsing: JSON.parse(response.content[0].text) for JSON responses

Error detection: Check response.isError === true

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Reference Documentation

Core Documentation

Plugin README: README.md - Installation and configuration

Real Example: REAL_EXAMPLE_KR_LEGAL.md - Working kr-legal setup

API Reference: API.md - Technical API details

Configuration: CONFIGURATION.md - Server configuration guide

Troubleshooting: TROUBLESHOOTING.md - Common issues and solutions

Usage Examples

Examples Collection: EXAMPLES.md - 13 real-world examples including:

- Legal research workflows - Database queries - Weather service integration - Multi-step complex workflows - Error handling patterns

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Remember: Always start with action: "list" when uncertain about available tools.