# TimeSeriesMCPServer

> Use this tool when you need to predict future values in time series data using deep learning models. The TimeSeriesMCPServer solves problems of forecasting and analysis by supporting the training, comparison, and prediction of RNN, LSTM, and GRU models. It takes in time series data as input and outputs predicted values, making it ideal for applications requiring accurate forecasting and trend analysis.

Canonical page: https://skillsregistry.net/skills/heny114514-timeseriesmcpserver  
JSON: https://api.skillsregistry.net/v1/skills/heny114514-timeseriesmcpserver

## Description

时间序列预测MCP服务器，支持RNN、LSTM、GRU三种深度学习模型的训练、对比和预测。

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bh1145ei1r)
- **Repository:** <https://github.com/Heny114514/TimeSeriesMCPServer>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "heny114514-timeseriesmcpserver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/heny114514-timeseriesmcpserver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/heny114514-timeseriesmcpserver/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt