# MCP Server with Docker, Redis, and TimescaleDB

> Use this tool when you need to efficiently manage time-series data and provide fast API responses. It solves problems related to data caching, time-series data storage, and scalable server deployment, accepting inputs such as API requests and configuration files, and outputting cached data and managed time-series information. Ideal for use cases requiring high-performance data processing and real-time analytics, such as IoT sensor data or financial transaction processing.

Canonical page: https://skillsregistry.net/skills/chuckwilliams37-mcp-server-docker  
JSON: https://api.skillsregistry.net/v1/skills/chuckwilliams37-mcp-server-docker

## Description

A FastAPI-based MCP server orchestrated with Docker Compose, integrating Redis caching and TimescaleDB for time-series data management.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ebu9iww20j)
- **Repository:** <https://github.com/chuckwilliams37/mcp-server-docker>

## 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": "chuckwilliams37-mcp-server-docker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chuckwilliams37-mcp-server-docker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chuckwilliams37-mcp-server-docker/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
