Skip to main content
Glama
Prediction-Examples-in-the-Alink-Tutorial

Prediction-Examples-in-the-Alink-Tutorial

Alink教程中的预测例子 Prediction Examples in the Alink Tutorial

Alink教程中的两个预测例子:输入年份,预测GMV;输入一段评论,分析其情感色彩(褒义贬义/正向负向)。 Two prediction examples in the Alink tutorial: input a year to predict GMV; input a piece of feedback to analyze its sentiment (positive/negative).## 工具列表 Tool List

本MCP服务封装下列工具,可让模型通过标准化接口调用以下功能。 本MCP服务封装下列工具,可让模型通过标准化接口调用以下功能。

工具 Tool

描述 Description

pred_gmv

Alink教程第1章5.4节的Pipeline预测。输入年份,预测GMV。

calc

Alink教程第23章4节的情感预测。输入一段评论,分析其情感色彩(褒义贬义/正向负向)。

检查服务 ## Inspector

工具在线测试: https://mcp.xiaobenyang.com/inspector/1804079084099594

Online Tool test https://mcp.xiaobenyang.com/inspector/1804079084099594

Related MCP server: AI-Kline MCP Server

服务配置 MCP Server Config

如何获取 XBY-APIKEY ? How to get XBY-APIKEY ?

访问小笨羊科技网站 https://xiaobenyang.com,注册用户即可获得APIKEY Visit XiaoBenYang website https://xiaobenyang.com, register and get the APIKEY.

SSE

{
  "mcpServers": {
    "Alink教程中的预测例子": {
      "headers": {
        "XBY-APIKEY": "<YOUR_XBY_APIKEY>"
      },
      "type": "sse",
      "url": "https://mcp.xiaobenyang.com/1804079084099594/sse"
    }
  }
}

STREAMABLE HTTP

{
  "mcpServers": {
    "Alink教程中的预测例子": {
      "headers": {
        "XBY-APIKEY": "<YOUR_XBY_APIKEY>"
      },
      "type": "streamable_http",
      "url": "https://mcp.xiaobenyang.com/1804079084099594/mcp"
    }
  }
}

STDIO

{
    "mcpServers": {
        "Alink教程中的预测例子": {
          "command": "npx",
          "args": [
            "-y",
            "xiaobenyang-mcp"
          ],
          "env": {
            "XBY_APIKEY": "<YOUR_XBY_APIKEY>",
            "mcpId": "1804079084099594",
          },
          "transport": "stdio"
        }
      }
}

Available Tools

2 tools
calccalcC

Alink教程第23章4节的情感预测。输入一段评论,分析其情感色彩(褒义贬义/正向负向)。

Inputs: review (required).

pred_gmvpred_gmvC

Alink教程第1章5.4节的Pipeline预测。输入年份,预测GMV。

Inputs: x (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    C2.5/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have completely distinct purposes: one analyzes sentiment of text reviews, while the other predicts GMV based on year input. There is no overlap in functionality or potential for confusion between these unrelated domains.

    Naming Consistency2/5

    The naming is inconsistent with 'calc' using a generic abbreviation and 'pred_gmv' using a more descriptive verb_noun pattern. While both are short, they follow different conventions without a clear unified naming strategy.

    Tool Count2/5

    With only two tools, this server feels extremely thin for a tutorial prediction examples server. The tools cover completely unrelated domains (sentiment analysis and GMV prediction), suggesting either an incomplete implementation or a poorly scoped server that should likely be split into separate specialized servers.

    Completeness2/5

    For a tutorial examples server, there are significant gaps - each tool represents a single isolated example without supporting operations. There's no way to train models, evaluate predictions, or handle related tasks. The server feels like a collection of disconnected demonstration snippets rather than a coherent tool surface.

    Related MCP Connectors

    Related MCP Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables querying and analyzing user, product, and order data with filtering capabilities and real-time statistics. Supports WebSocket connections to XiaoZhi AI platform with automatic reconnection.
      -
    • A
      license
      B
      quality
      B
      maintenance
      Establishes feedback-oriented development workflows with Web UI and desktop application dual interfaces, enabling AI to confirm with users and consolidate tool calls into feedback requests to reduce costs and improve development efficiency.
      2
      1,453 PyPI
      3,752
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      A credit-risk analytics MCP server enabling natural language queries over 30,000 real credit records, default risk prediction with an interpretable model, and live Turkish economic indicators.
      1
      MIT