InfluxDB MCP Server

What is InfluxDB MCP Server about?

Provides a Model Context Protocol (MCP) server that bridges MCP‑compatible agents and InfluxDB 3 instances. The server exposes a rich set of tools, resources, and prompts that let agents list databases, run bounded SQL or InfluxQL queries, write line protocol data, manage databases and tokens, and retrieve health/status information.

How to use InfluxDB MCP Server?

Set required environment variables – instance URL, token, and product type (core, enterprise, cloud‑serverless, cloud‑dedicated, or clustered). Optional variables control read‑only profiles and telemetry.
Run the server – the most convenient method is via npx:

{
  "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"
      }
    }
  }
}

Configure your MCP client (Claude Desktop, Cursor, Codex, etc.) to point to the server definition above.
Call tools – use the tool names listed in the README (e.g., list_databases, query_sql, write_line_protocol).

Key Features of InfluxDB MCP Server

Read‑only and full‑operator profiles controlled by INFLUX_MCP_TOOL_PROFILE.
Comprehensive toolset covering data discovery, SQL/InfluxQL querying, line‑protocol writes, database lifecycle management, and token administration.
Supports all InfluxDB 3 product flavors with appropriate token handling (admin, resource, database, management tokens).
Structured JSON responses with metadata (row count, truncation, warnings, query IDs).
Built‑in telemetry for tool calls (JSON lines on stderr), configurable to file or disabled.
Docker images and Docker‑Compose support for containerized deployments.
Example configuration files for local, npx, Docker, Cloud Dedicated, Clustered, and Cloud Serverless setups.

Use Cases of InfluxDB MCP Server

Analyst self‑service exploration – an AI assistant can safely list databases, discover measurement schemas, and run read‑only queries to answer business questions.
Operator troubleshooting – agents can run InfluxQL diagnostics, retrieve query history IDs, and isolate missing data without altering the system.
Automated data ingestion pipelines – agents invoke write_line_protocol to push time‑series data from external sources.
Database provisioning – CI/CD jobs call create_database, update_database, and token‑management tools to spin up isolated test environments.
Security audits – list_admin_tokens and list_resource_tokens help enumerate active credentials across deployments.

FAQ from the InfluxDB MCP Server

Q: Do I need to build the project before using it?\nA: No. The npx command downloads the pre‑published package and runs it directly. Building is only required for custom development.

Q: How do I enable a read‑only profile?\nA: Set INFLUX_MCP_TOOL_PROFILE=readonly in the environment before launching the server.

Q: Which tokens are required for Cloud Dedicated deployments?\nA: Either a database token (query/write only), a management token (admin only), or both for full functionality. Provide INFLUX_DB_CLUSTER_ID and optionally INFLUX_DB_ACCOUNT_ID.

Q: Where are tool‑call logs written?\nA: By default to stderr as JSON lines. Change MCP_LOG_BACKEND to file and set MCP_LOG_FILE to redirect to a file.

Q: Can I run the server inside Docker?\nA: Yes. Build the image with docker compose build or npm run docker:build, then run using the Docker example in the README.

Q: Is the server compatible with InfluxDB 3.11?\nA: Fully tested against InfluxDB 3.11.5 Core and Enterprise, including clustered Enterprise configurations.

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)

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:

Call list_databases to see accessible databases.
Call list_tables and describe_table to discover measurements and columns.
Treat uncertain tag and field categories as unknown.
Build a bounded SQL query with db, q, and optional params.
Call query_sql with structured JSON output.
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:

Keep the user's query in InfluxQL and call query_influxql.
Use SHOW queries and schema discovery to verify the measurement and referenced columns.
Sample recent rows with bounded reads to distinguish missing data from a broken query.
Reject unsafe follow-up attempts, such as SELECT INTO or destructive statements.
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.
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

Tool Name	Description	Availability
`load_database_context`	Load optional custom database context and documentation	All versions
`get_help`	Get help and troubleshooting guidance for InfluxDB operations	All versions
`write_line_protocol`	Write data using InfluxDB line protocol	All versions
`create_database`	Create a new database (with cloud-specific config options)	All versions
`update_database`	Update database configuration (retention for all; maxTables/maxColumns for Cloud Dedicated/Clustered)	All versions
`delete_database`	Delete a database by name (irreversible)	All versions
`execute_query`	Run a SQL query against a database (supports multiple formats)	All versions
`query_sql`	Run bounded read-only SQL with structured response metadata	All versions
`query_influxql`	Run bounded read-only InfluxQL with structured response metadata	All versions
`get_measurements`	List all measurements (tables) in a database	All versions
`get_measurement_schema`	Get schema (columns/types) for a measurement/table	All versions
`list_tables`	List tables, also called measurements, in a database	All versions
`describe_table`	Describe table schema with conservative column categories	All versions
`investigate_database`	Run high-level read-only database discovery and sampling	All versions
`create_admin_token`	Create a named admin token with an optional expiration	Core/Enterprise only
`list_admin_tokens`	List all admin tokens (with optional filtering)	Core/Enterprise only
`create_resource_token`	Create a resource token for specific DBs and permissions	Enterprise only
`list_resource_tokens`	List all resource tokens (with filtering and ordering)	Enterprise only
`delete_token`	Delete a token by name	Core/Enterprise only
`regenerate_operator_token`	Regenerate the operator token (dangerous/irreversible)	Core/Enterprise only
`cloud_list_database_tokens`	List all database tokens for Cloud-Dedicated/Clustered cluster	Cloud Dedicated/Clustered
`cloud_get_database_token`	Get details of a specific database token by ID	Cloud Dedicated/Clustered
`cloud_create_database_token`	Create a new database token for Cloud-Dedicated/Clustered cluster	Cloud Dedicated/Clustered
`cloud_update_database_token`	Update an existing database token	Cloud Dedicated/Clustered
`cloud_delete_database_token`	Delete a database token from Cloud-Dedicated/Clustered cluster	Cloud Dedicated/Clustered
`list_databases`	List all available databases in the instance	All versions
`health_check`	Check InfluxDB connection and health status	All versions

Available Resources

Resource Name	Description
`influx-config`	Read-only access to InfluxDB configuration
`influx-status`	Real-time connection and health status
`influx-databases`	List of all databases in the instance
`context-file`	Custom user-provided database context and documentation

Available Prompts

Prompt Name	Description
`list-databases`	Generate a prompt to list all available databases
`check-health`	Generate a prompt to check InfluxDB health status
`load-context`	Load custom database context and documentation

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)

Install dependencies:
```
npm install
```
Build the server:
```
npm run build
```

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)

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.

Run Cloud Serverless integration tests

The Cloud Serverless test command accepts Claire's INFLUXDB3_CLOUD_* variables and maps them to the MCP server's runtime variables. The command sets INFLUX_TEST_ENABLED=true and INFLUX_DB_PRODUCT_TYPE=cloud-serverless.

For local tests with 1Password, store only op:// references in ~/.config/claire/cloud-serverless.env:

INFLUXDB3_CLOUD_URL=op://VAULT/ITEM/hostname
INFLUXDB3_CLOUD_TOKEN=op://VAULT/ITEM/token
INFLUXDB3_CLOUD_BUCKET=op://VAULT/ITEM/bucket
INFLUXDB3_CLOUD_ORG=op://VAULT/ITEM/org

Run the live tests through 1Password so the token exists only in the test process environment:

op run --env-file ~/.config/claire/cloud-serverless.env -- \
  npm run test:integration:cloud-serverless

You can instead copy env.cloud-serverless.example to the ignored .env.cloud-serverless.local file and set the MCP runtime variables there. Then run npm run test:integration:cloud-serverless directly.

To use another plaintext credentials file, set INFLUX_TEST_ENV_FILE:

INFLUX_TEST_ENV_FILE=/path/to/serverless.env npm run test:integration:cloud-serverless

GitHub Actions runs the same command with the existing URL and token secrets from the cloud-serverless environment. The workflow selects the mcp-ci-tests bucket explicitly.

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

Duration	Nanoseconds
7 days	604,800,000,000,000
30 days	2,592,000,000,000,000
90 days	7,776,000,000,000,000
180 days	15,552,000,000,000,000
1 year	31,536,000,000,000,000

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.

Write errors

write_line_protocol surfaces InfluxDB's own error text, not a generic message. If InfluxDB rejects a write — a duplicate tag key, an unauthenticated token, a payload over the size limit — the tool error includes the specific reason, for example:

Bad request: invalid line protocol - multiple instances of 'region' tag found

A 503 reaching this server is phrased as retryable (Service temporarily unavailable, retry the write: ...) — safe to retry the write. Any other status is not.

InfluxDB 3.11 compatibility

Verified against InfluxDB 3.11.5 Core and Enterprise, including a multi-node Enterprise cluster). Core and Enterprise write through POST /api/v3/write_lp, which 3.11's write-availability changes for the legacy /api/v2/write endpoint do not affect; only clustered calls /api/v2/write. Query and schema-discovery tools behave the same whether the target database is on Parquet (Core, or Enterprise before an upgrade) or PachaTree (Enterprise 3.11+ by default, or after --upgrade-pacha-tree) — new system.pt_* tables are excluded from get_measurements/get_measurement_schema results by the same table_schema = 'iox' filter that already excludes other system tables.

Core and Enterprise create named admin tokens through POST /api/v3/configure/token/named_admin. Named admin tokens accept an optional expiration in seconds. Only Enterprise supports resource tokens, so the MCP server doesn't advertise resource-token tools for Core connections.

License

MIT

InfluxDB MCP Server