InfluxDB MCP Server

Model Context Protocol (MCP) server for InfluxDB 3 integration. Provides tools, resources, and prompts for interacting with InfluxDB v3 (Core/Enterprise/Cloud Dedicated/Clustered/Cloud Serverless) via MCP clients.

Prerequisites

• InfluxDB 3 Instance: URL and token (Core/Enterprise/Cloud Serverless) or Cluster ID and tokens (Cloud Dedicated/Clustered)

• Node.js: v20.11 or newer (for npm/npx usage)

• npm: v9 or newer (for npm/npx usage)

• Docker: (for Docker-based setup)

Related MCP server: InfluxDB OSS API MCP Server

Read-only Agent Workflows

Set INFLUX_MCP_TOOL_PROFILE=readonly when you want an MCP client to explore and query InfluxDB 3 data without exposing write, admin, token-management, or host-level tools. In Enterprise deployments that use preview user auth, the same read-only flow works when the configured bearer credential is a JWT instead of an apiv3_ token.

Analyst explores an unfamiliar database

An analyst can connect an MCP client such as Claude Desktop, Cursor, Codex, or another agent harness and ask a question like:

Which sensors had the highest average temperature in the last 24 hours?

With the read-only profile, the agent can:

1. Call list_databases to see accessible databases.

2. Call list_tables and describe_table to discover measurements and columns.

3. Treat uncertain tag and field categories as unknown.

4. Build a bounded SQL query with db, q, and optional params.

5. Call query_sql with structured JSON output.

6. Return the result, row count, truncation status, warnings, and correlation metadata.

The user gets a grounded answer and a reusable query while the agent explores and queries data without access to mutation or administration tools.

Operator investigates an InfluxQL dashboard query

An operator can troubleshoot an existing InfluxQL dashboard panel and ask:

Why did this panel stop showing data after the deploy?

With the read-only profile, the agent can:

1. Keep the user's query in InfluxQL and call query_influxql.

2. Use SHOW queries and schema discovery to verify the measurement and referenced columns.

3. Sample recent rows with bounded reads to distinguish missing data from a broken query.

4. Reject unsafe follow-up attempts, such as SELECT INTO or destructive statements.

5. Return request_id, query_id, and query_id_source so the operator can correlate the MCP result with system.queries.id when query history is available.

6. Emit structured logs to stderr for stdio transports so stdout remains reserved for MCP protocol messages.

The user gets a practical diagnosis, such as missing data, renamed schema, a wrong time predicate, or a query failure. The investigation is traceable without logging full query text by default.

Available Tools

Available Resources

Available Prompts

Setup & Integration Guide

1. Environment Variables

For Core/Enterprise InfluxDB:

You must provide:

• INFLUX_DB_INSTANCE_URL (e.g. http://localhost:8181/)

• INFLUX_DB_TOKEN

• INFLUX_DB_PRODUCT_TYPE (core or enterprise)

Example .env:

INFLUX_DB_INSTANCE_URL=http://localhost:8181/
INFLUX_DB_TOKEN=your_influxdb_token_here
INFLUX_DB_PRODUCT_TYPE=core

For Cloud Serverless InfluxDB:

You must provide:

• INFLUX_DB_INSTANCE_URL (e.g. https://us-east-1-1.aws.cloud2.influxdata.com)

• INFLUX_DB_TOKEN

• INFLUX_DB_PRODUCT_TYPE (cloud-serverless)

Example .env:

INFLUX_DB_INSTANCE_URL=https://us-east-1-1.aws.cloud2.influxdata.com
INFLUX_DB_TOKEN=your_influxdb_token_here
INFLUX_DB_PRODUCT_TYPE=cloud-serverless

For Cloud Dedicated InfluxDB:

You must provide INFLUX_DB_PRODUCT_TYPE=cloud-dedicated and INFLUX_DB_CLUSTER_ID, plus one of these token combinations:

Option 1: Database Token Only (Query/Write operations only):

INFLUX_DB_PRODUCT_TYPE=cloud-dedicated
INFLUX_DB_CLUSTER_ID=your_cluster_id_here
INFLUX_DB_TOKEN=your_database_token_here

Option 2: Management Token Only (Database management only):

INFLUX_DB_PRODUCT_TYPE=cloud-dedicated
INFLUX_DB_CLUSTER_ID=your_cluster_id_here
INFLUX_DB_ACCOUNT_ID=your_account_id_here
INFLUX_DB_MANAGEMENT_TOKEN=your_management_token_here

Option 3: Both Tokens (Full functionality):

INFLUX_DB_PRODUCT_TYPE=cloud-dedicated
INFLUX_DB_CLUSTER_ID=your_cluster_id_here
INFLUX_DB_ACCOUNT_ID=your_account_id_here
INFLUX_DB_TOKEN=your_database_token_here
INFLUX_DB_MANAGEMENT_TOKEN=your_management_token_here

For Clustered InfluxDB:

You must provide INFLUX_DB_PRODUCT_TYPE=clustered and INFLUX_DB_INSTANCE_URL, plus one of these token combinations:

Option 1: Database Token Only (Query/Write operations only):

INFLUX_DB_PRODUCT_TYPE=clustered
INFLUX_DB_INSTANCE_URL=https://your_cluster_host.com
INFLUX_DB_TOKEN=your_database_token_here

Option 2: Management Token Only (Database management only):

INFLUX_DB_PRODUCT_TYPE=clustered
INFLUX_DB_INSTANCE_URL=https://your_cluster_host.com
INFLUX_DB_MANAGEMENT_TOKEN=your_management_token_here

Option 3: Both Tokens (Full functionality):

INFLUX_DB_PRODUCT_TYPE=clustered
INFLUX_DB_INSTANCE_URL=https://your_cluster_host.com
INFLUX_DB_TOKEN=your_database_token_here
INFLUX_DB_MANAGEMENT_TOKEN=your_management_token_here

See corresponding env.<instancetype>.example for examples and detailed info.

Optional MCP tool profile and telemetry

Use INFLUX_MCP_TOOL_PROFILE=readonly to expose only read-only tools. If unset, the server uses the full operator tool profile.

INFLUX_MCP_TOOL_PROFILE=readonly

Tool-call telemetry is enabled by default and writes structured JSON lines to stderr, which keeps stdout reserved for MCP stdio protocol messages. To disable telemetry:

MCP_LOG_TOOL_CALLS=false

To write telemetry to a file, configure the file backend:

MCP_LOG_BACKEND=file
MCP_LOG_FILE=/logs/influxdb-mcp.jsonl

The telemetry log includes tool name, request ID, query ID, duration, database, row count, truncation state, success state, and error code. It does not log API tokens, request headers, tool arguments, or query text. Sample harness profiles live in harness-profiles/; for approval settings and repeatable E2E prompts, see AGENT_E2E_TESTS.md.

2. Integration with MCP Clients

A. Local (npm install & run)

1. Install dependencies:

   npm install

2. Build the server:

   npm run build

3. Configure your MCP client to use the built server. Example (see example-local.mcp.json):

   {
     "mcpServers": {
       "influxdb": {
         "command": "node",
         "args": ["/path/to/influx-mcp-standalone/build/index.js"],
         "env": {
           "INFLUX_DB_INSTANCE_URL": "http://localhost:8181/",
           "INFLUX_DB_TOKEN": "<YOUR_INFLUXDB_TOKEN>",
           "INFLUX_DB_PRODUCT_TYPE": "core"
         }
       }
     }
   }

B. Local (npx, no install/build required)

1. Run directly with npx (after publishing to npm, won't work yet):

   {
     "mcpServers": {
       "influxdb": {
         "command": "npx",
         "args": ["-y", "@influxdata/influxdb3-mcp-server"],
         "env": {
           "INFLUX_DB_INSTANCE_URL": "http://localhost:8181/",
           "INFLUX_DB_TOKEN": "<YOUR_INFLUXDB_TOKEN>",
           "INFLUX_DB_PRODUCT_TYPE": "core"
         }
       }
     }
   }

C. Docker

Before running the Docker integration, you must build the Docker image:

# Option 1: Use docker compose (recommended)
docker compose build
# Option 2: Use npm script
npm run docker:build

a) Docker with remote InfluxDB instance (see example-docker.mcp.json):

{
  "mcpServers": {
    "influxdb": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "INFLUX_DB_INSTANCE_URL",
        "-e",
        "INFLUX_DB_TOKEN",
        "-e",
        "INFLUX_DB_PRODUCT_TYPE",
        "mcp/influxdb"
      ],
      "env": {
        "INFLUX_DB_INSTANCE_URL": "http://remote-influxdb-host:8181/",
        "INFLUX_DB_TOKEN": "<YOUR_INFLUXDB_TOKEN>",
        "INFLUX_DB_PRODUCT_TYPE": "core"
      }
    }
  }
}

b) Docker with InfluxDB running in Docker on the same machine (see example-docker.mcp.json):

Use host.docker.internal as the InfluxDB URL so the MCP server container can reach the InfluxDB container:

{
  "mcpServers": {
    "influxdb": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "--add-host=host.docker.internal:host-gateway",
        "-e",
        "INFLUX_DB_INSTANCE_URL",
        "-e",
        "INFLUX_DB_TOKEN",
        "-e",
        "INFLUX_DB_PRODUCT_TYPE",
        "influxdb-mcp-server"
      ],
      "env": {
        "INFLUX_DB_INSTANCE_URL": "http://host.docker.internal:8181/",
        "INFLUX_DB_TOKEN": "<YOUR_INFLUXDB_TOKEN>",
        "INFLUX_DB_PRODUCT_TYPE": "enterprise"
      }
    }
  }
}

Example Usage

• Use your MCP client to call tools, resources, or prompts as described above.

• Custom Context: Edit the provided context/database-context.md file or remove it and create your own context file with "context" in the name (.json, .txt, .md) to provide database documentation. Use the load_database_context tool or load-context prompt to access it.

• See the example-*.mcp.json files for ready-to-use configuration templates:

  • example-local.mcp.json - Local development setup

  • example-npx.mcp.json - NPX-based setup

  • example-docker.mcp.json - Docker-based setup

  • example-cloud-dedicated.mcp.json - Cloud Dedicated with all variables

  • example-clustered.mcp.json - Clustered with all variables

  • example-cloud-serverless.mcp.json - Cloud Serverless configuration

• See the env.example, env.cloud-dedicated.example, env.clustered.example, and env.cloud-serverless.example files for environment variable templates.

• See AGENT_E2E_TESTS.md for MCP harness tips, read-only profile runs, and telemetry correlation checks.

Database Retention Policy Examples

Core/Enterprise - Set 90-day Retention

// Set 90-day retention policy on Enterprise instance
await mcp.update_database({
  name: "my_database",
  retentionPeriod: 7776000000000000, // 90 days in nanoseconds
});

Cloud Dedicated - Update Multiple Settings

// Update retention, maxTables, and maxColumnsPerTable
await mcp.update_database({
  name: "my_database",
  retentionPeriod: 7776000000000000, // 90 days
  maxTables: 1000,
  maxColumnsPerTable: 250,
});

Common Retention Periods

Support & Troubleshooting

• Use the get_help tool for built-in help and troubleshooting.

• For connection issues, check your environment variables and InfluxDB instance status.

• For advanced configuration, see the comments in the example .env and MCP config files.

License

MIT