Pythagraph RED MCP Server

Node.js server implementing Model Context Protocol (MCP) for Pythagraph RED API access.

Features

Fetch graph data from Pythagraph RED API
Detailed graph analysis with nodes, edges, and statistics
Formatted table outputs for easy visualization
Comprehensive graph summaries
Error handling and timeout management

API Integration

This server connects to the Pythagraph RED API at:

https://red.pythagraph.co.kr/api/red/graph/exportGraphInfo.do?graphId={graphId}

Tools

`get_graph_data`

Retrieve detailed graph data from Pythagraph RED API. Returns comprehensive information including nodes, edges, statistics, and metadata formatted as tables and descriptions.

Input:

graphId (string): The unique identifier for the graph to retrieve

Output:

Detailed tables showing graph statistics
Node type distributions
Edge type distributions
First 10 nodes with their properties
First 10 edges with their relationships
Metadata information

Example:

# MBTI(성질좋은 역순서,점유비율)

## 📊 기본 정보
| 항목 | 값 |
|------|-----|
| Graph ID | G81a6c348-4696-4f04-a164-6e306388ab92 |
| 단위 구분 | 비율 |
| 단위명 | 퍼센트(％) |
| 데이터 건수 | 16건 |

## 📈 데이터 테이블
| 시간 | MBTI유형 | 값 |
|------|----------|-----|
| 15 | ENFP | 12.6% |
| 08 | INFP | 13.4% |
| 04 | INFJ | 6.3% |

`get_graph_summary`

Get a concise summary of graph data from Pythagraph RED API. Provides overview statistics, node/edge type distributions, and key insights.

Input:

graphId (string): The unique identifier for the graph to get summary
includeDetails (boolean, optional): Include detailed node and edge information (default: false)

Output:

Quick overview with node and edge counts
Node and edge type listings
Graph density calculation
Optional detailed tables when includeDetails is true

Example:

# MBTI(성질좋은 역순서,점유비율) - 요약

📊 Graph ID: G81a6c348-4696-4f04-a164-6e306388ab92
📊 데이터 건수: 16건
📊 단위: 비율 (퍼센트(％))
📅 등록일: 2023-05-22 15:01

## 🔍 핵심 인사이트
🏆 최고: INFP (13.4%)
📉 최저: ENTJ (2.7%)
📊 총합: 100.0%

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

NPX

{
  "mcpServers": {
    "pythagraph-red": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-pythagraph-red"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "pythagraph-red": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "mcp/pythagraph-red"
      ]
    }
  }
}

Development

Building

npm install
npm run build

Testing

npm test

Docker Build

docker build -t mcp/pythagraph-red .

API Response Format

The server expects the Pythagraph RED API to return JSON data in this format:

{
  "graphId": "G81a6c348-4696-4f04-a164-6e306388ab92",
  "graphNm": "MBTI(성질좋은 역순서,점유비율)",
  "graphDet": "<p>MBTI 성격별 인구비율 및 성격더러운 순서</p>",
  "unitDivNm": "비율",
  "unitNm": "퍼센트(％)",
  "link": "https://ddnews.co.kr/mbti-순위/",
  "dataSrc": "https://ddnews.co.kr/mbti-순위/",
  "dataOrg": "https://ddnews.co.kr/mbti-순위/",
  "regUser": "kimhoon1112@gmail.com",
  "regTime": "2023-05-22 15:01",
  "cols": ["시간", "MBTI유형", "값"],
  "cols2": ["T5", "M1", "VALUE"],
  "graphData": [
    ["15", "ENFP", "0.126"],
    ["08", "INFP", "0.134"],
    ["04", "INFJ", "0.063"]
  ],
  "regionList": [],
  "message": "OK"
}

Error Handling

The server includes comprehensive error handling for:

Invalid graph IDs
Network timeouts (30 second limit)
API response errors
Invalid JSON responses
Connection failures

Features

Automatic Table Formatting: Converts graph data into readable tables
Statistics Calculation: Computes graph density and type distributions
Memory Efficient: Only displays first 10 nodes/edges in detailed view
Flexible Output: Summary mode for quick insights, detailed mode for analysis
Robust Error Handling: Graceful handling of API failures

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License.

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Enables retrieval and analysis of graph data from the Pythagraph RED API. Provides detailed graph statistics, node/edge distributions, and formatted table outputs for data visualization and analysis.

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