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InfluxDB integration

Time-series database API for metrics, events, and IoT data. Write and query time-series data at scale. Build monitoring dashboards, analytics, and real-time applications. Supports Flux and InfluxQL query languages.

10 toolsTokenAPI docs
Connect InfluxDBHow integrations work

Common InfluxDB use cases

  • Alerting
  • Storage optimization
  • Cleanup
  • Dashboards
  • Data cleanup
  • Bucket inspection
  • Bucket management
  • Data organization
  • Health monitoring
  • Metrics collection

What you can do with InfluxDB

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Bucket, 5 operations

  • POSTcreate_bucket

    Creates a new bucket for data storage.

  • DELETEdelete_bucket

    Deletes a bucket and all its data.

  • GETget_bucket

    Retrieves a single bucket by ID.

  • GETlist_buckets

    Lists all buckets in the organization.

  • PATCHupdate_bucket

    Updates bucket configuration.

Data point, 2 operations

  • POSTdelete_data

    Deletes data points by time range and filter.

  • POSTwrite_data

    Writes time-series data to InfluxDB.

Health, 1 operation

  • GETget_health

    Retrieves InfluxDB service health status.

Organization, 1 operation

  • GETlist_organizations

    Lists all organizations.

Time series, 1 operation

  • POSTquery_data

    Queries time-series data using Flux.

Use InfluxDB from Claude Code, Cursor or Codex

Connect InfluxDB in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its InfluxDB operations become tools the client can call, next to every other integration you connected.

Claude Code
claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"
Codex (~/.codex/config.toml)
[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"
Cursor, Claude Desktop and other JSON configs
{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect InfluxDB

  1. Create your workspace

    Sign up free. Nothing to install.

  2. Connect InfluxDB once

    Add your InfluxDB connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.

  3. Describe the job in chat

    The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

InfluxDB integration FAQ

What can you do with the InfluxDB integration?
LiveContext exposes 10 operations on InfluxDB, covering bucket, data point, health and organization. Common uses include Alerting, Storage optimization and Cleanup.

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