# influx-timeseries-mcp

> Use this tool when you need to efficiently manage and analyze large amounts of time-series data from InfluxDB v2, reducing context flooding and improving performance by aggregating data at the database level. It solves problems related to data overload and processing bottlenecks by selectively bounding output and pushing data reduction to the database. Ideal for use cases involving high-volume time-series data, this tool provides a streamlined interface for inputs from InfluxDB v2 and outputs aggregated data for further analysis.

Canonical page: https://skillsregistry.net/skills/rmaher001-influx-timeseries-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rmaher001-influx-timeseries-mcp

## Description

A selective, aggregation-first MCP server for InfluxDB v2 that bounds output and pushes reduction to the database, avoiding context flooding from raw time-series data.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xi23eniqsv)
- **Repository:** <https://github.com/rmaher001/influx-timeseries-mcp>

## 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": "rmaher001-influx-timeseries-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rmaher001-influx-timeseries-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rmaher001-influx-timeseries-mcp/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