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InfluxDB 3 MCP Server

The official InfluxData MCP server for InfluxDB 3 (Core, Enterprise, Cloud Dedicated, Clustered, and Cloud Serverless). It lets LLMs run SQL queries, write line-protocol data, inspect databases and measurement schemas, manage databases and tokens, and check cluster health over the Model Context Protocol.

by influxdata · submitted by davion-knight·added 2026-07-08·
HarnessClaude CodeCodexCursorClaude Desktop
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Source URLs
https://docs.influxdata.com/influxdb3/enterprise/admin/mcp-server/, https://github.com/influxdata/influxdb3_mcp_server, https://www.influxdata.com/
Brand
InfluxDB 3 MCP Server
Brand domain
influxdata.com
Brand asset source
brandfetch
Safety notes
The server exposes write and delete tools — `write_line_protocol` ingests data, `create_database`/`update_database` change database config, and `delete_database` permanently removes a database (the README marks it irreversible)., On Core/Enterprise it can mint and revoke credentials via `create_admin_token` (full permissions), `create_resource_token`, and `delete_token`; `regenerate_operator_token` is flagged dangerous/irreversible and rotates the operator token., The `execute_query` tool runs arbitrary SQL against the target database with the supplied token's permissions, so scope the token to least privilege rather than relying on tool naming., Cloud Dedicated/Clustered token tools (`cloud_create_database_token`, `cloud_update_database_token`, `cloud_delete_database_token`) manage real database access grants on the cluster., Point the server at a non-production instance or a tightly scoped token when letting an agent act autonomously; token permissions are the authoritative boundary, not the tool list.
Privacy notes
The server connects to your live InfluxDB 3 instance with the token you supply; query results, measurement schemas, and database listings it returns are passed to the LLM/MCP client., Time-series records and tags can contain sensitive or identifying data (device IDs, user IDs, locations, metrics), and query/schema tools can surface those fields to the model., Token-management tools can list and reveal token metadata; treat created tokens and their scopes as secrets., Credentials (`INFLUX_DB_TOKEN`, instance URL, cluster ID) are provided through environment variables in your MCP client config — keep that config out of version control and restrict access to it.
Author
influxdata
Submitted by
davion-knight
Claim status
unclaimed
Last verified
2026-07-08

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Risk 15

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Safety notes

  • The server exposes write and delete tools — `write_line_protocol` ingests data, `create_database`/`update_database` change database config, and `delete_database` permanently removes a database (the README marks it irreversible).
  • On Core/Enterprise it can mint and revoke credentials via `create_admin_token` (full permissions), `create_resource_token`, and `delete_token`; `regenerate_operator_token` is flagged dangerous/irreversible and rotates the operator token.
  • The `execute_query` tool runs arbitrary SQL against the target database with the supplied token's permissions, so scope the token to least privilege rather than relying on tool naming.
  • Cloud Dedicated/Clustered token tools (`cloud_create_database_token`, `cloud_update_database_token`, `cloud_delete_database_token`) manage real database access grants on the cluster.
  • Point the server at a non-production instance or a tightly scoped token when letting an agent act autonomously; token permissions are the authoritative boundary, not the tool list.

Privacy notes

  • The server connects to your live InfluxDB 3 instance with the token you supply; query results, measurement schemas, and database listings it returns are passed to the LLM/MCP client.
  • Time-series records and tags can contain sensitive or identifying data (device IDs, user IDs, locations, metrics), and query/schema tools can surface those fields to the model.
  • Token-management tools can list and reveal token metadata; treat created tokens and their scopes as secrets.
  • Credentials (`INFLUX_DB_TOKEN`, instance URL, cluster ID) are provided through environment variables in your MCP client config — keep that config out of version control and restrict access to it.

Prerequisites

  • Node.js 20.11 or newer and npm 9 or newer (for the npm/npx runtime), or Docker as an alternative
  • A reachable InfluxDB 3 instance — Core, Enterprise, Cloud Serverless, Cloud Dedicated, or Clustered
  • An InfluxDB token (and, for Cloud Dedicated, the cluster ID) with the permissions you want the agent to have
  • The correct `INFLUX_DB_PRODUCT_TYPE` for your deployment (`core`, `enterprise`, `cloud-serverless`, `cloud-dedicated`, or `clustered`)
  • An MCP-compatible client (Claude Desktop, Cursor, VS Code, etc.)

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Tool listing metadata
Full copyable content
{
  "mcpServers": {
    "influxdb": {
      "command": "npx",
      "args": ["-y", "@influxdata/influxdb3-mcp-server"],
      "env": {
        "INFLUX_DB_INSTANCE_URL": "https://us-east-1-1.aws.cloud2.influxdata.com",
        "INFLUX_DB_TOKEN": "<YOUR_INFLUXDB_TOKEN>",
        "INFLUX_DB_PRODUCT_TYPE": "cloud-serverless"
      }
    }
  }
}

About this resource

Content

The InfluxDB 3 MCP Server is the official Model Context Protocol server maintained by InfluxData. It connects LLMs and agentic clients directly to an InfluxDB 3 instance — Core, Enterprise, Cloud Serverless, Cloud Dedicated, or Clustered — to run SQL queries, write line-protocol data, inspect databases and measurement schemas, manage databases and tokens, and check cluster health.

The project is written in TypeScript, distributed as the npm package @influxdata/influxdb3-mcp-server (v1.3.0), and can also run as a Docker image built from the repo. It runs over stdio by default and is configured entirely through environment variables, so it drops into Claude Desktop, Cursor, VS Code, and other MCP clients with a small config block. Full documentation lives in the InfluxDB 3 admin docs.

Source Review

The following real repository and package sources were fetched and reviewed for this entry:

  • README.md — prerequisites, the full tool/resource/prompt list, per-product environment variables, and the stdio/npx/Docker client config blocks.
  • npm: @influxdata/influxdb3-mcp-server — package name and version (1.3.0), license (Apache-2.0 OR MIT), engines.node >=20.11.0, and the influxdb-mcp-server bin entry.
  • LICENSE-APACHE.txt — dual-licensed under Apache License 2.0 or MIT.
  • InfluxDB 3 MCP docs — official InfluxData documentation for the server.

Repository facts confirmed at review time: official influxdata organization, default branch main, not archived, actively maintained (pushed within days of this submission), and released as @influxdata/influxdb3-mcp-server v1.3.0 on npm.

Features

  • SQL queryingexecute_query runs SQL against a database and supports multiple output formats.
  • Data ingestionwrite_line_protocol writes points using InfluxDB line protocol.
  • Schema & discoverylist_databases, get_measurements, and get_measurement_schema inspect databases, measurements (tables), and column types.
  • Database managementcreate_database, update_database (retention and, on Cloud Dedicated/Clustered, table/column limits), and delete_database (irreversible).
  • Token management (Core/Enterprise)create_admin_token, list_admin_tokens, create_resource_token, list_resource_tokens, delete_token, and regenerate_operator_token.
  • Token management (Cloud Dedicated/Clustered)cloud_list_database_tokens, cloud_get_database_token, cloud_create_database_token, cloud_update_database_token, and cloud_delete_database_token.
  • Health & helphealth_check reports connection/health status, and get_help returns troubleshooting guidance; load_database_context loads optional custom database context.
  • MCP resources & prompts — read-only resources such as influx-config, influx-status, and influx-databases, plus a check-health prompt.
  • Broad InfluxDB 3 coverage — one server works across Core, Enterprise, Cloud Serverless, Cloud Dedicated, and Clustered via INFLUX_DB_PRODUCT_TYPE.
  • Multiple runtimes — run via npx (no install), a from-source Node build, or a Docker image you build from the repo (tagged mcp/influxdb).

Installation

Run the published package with npx (no clone required):

npx -y @influxdata/influxdb3-mcp-server

Add it to an MCP client (e.g. Claude Desktop's claude_desktop_config.json) for a Cloud Serverless instance (self-hosted Core/Enterprise instances use their own TLS instance URL and INFLUX_DB_PRODUCT_TYPE=core/enterprise):

{
  "mcpServers": {
    "influxdb": {
      "command": "npx",
      "args": ["-y", "@influxdata/influxdb3-mcp-server"],
      "env": {
        "INFLUX_DB_INSTANCE_URL": "https://us-east-1-1.aws.cloud2.influxdata.com",
        "INFLUX_DB_TOKEN": "<YOUR_INFLUXDB_TOKEN>",
        "INFLUX_DB_PRODUCT_TYPE": "cloud-serverless"
      }
    }
  }
}

Or run via Docker. The image is built from the repo first (docker compose build or npm run docker:build, which tags it mcp/influxdb), then invoked by the MCP client:

{
  "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": "https://us-east-1-1.aws.cloud2.influxdata.com",
        "INFLUX_DB_TOKEN": "<YOUR_INFLUXDB_TOKEN>",
        "INFLUX_DB_PRODUCT_TYPE": "cloud-serverless"
      }
    }
  }
}

For a Cloud Dedicated cluster, set INFLUX_DB_PRODUCT_TYPE=cloud-dedicated and INFLUX_DB_CLUSTER_ID, plus a token combination (database token for query/write, management token for database administration, or both for full functionality):

{
  "mcpServers": {
    "influxdb": {
      "command": "npx",
      "args": ["-y", "@influxdata/influxdb3-mcp-server"],
      "env": {
        "INFLUX_DB_PRODUCT_TYPE": "cloud-dedicated",
        "INFLUX_DB_CLUSTER_ID": "<YOUR_CLUSTER_ID>",
        "INFLUX_DB_ACCOUNT_ID": "<YOUR_ACCOUNT_ID>",
        "INFLUX_DB_TOKEN": "<YOUR_DATABASE_TOKEN>",
        "INFLUX_DB_MANAGEMENT_TOKEN": "<YOUR_MANAGEMENT_TOKEN>"
      }
    }
  }
}

Key environment variables

Variable Required Purpose
INFLUX_DB_INSTANCE_URL Yes (Core/Enterprise/Serverless/Clustered) Instance endpoint, e.g. https://us-east-1-1.aws.cloud2.influxdata.com
INFLUX_DB_TOKEN Yes* Database/instance token (query and write operations)
INFLUX_DB_PRODUCT_TYPE Yes core, enterprise, cloud-serverless, cloud-dedicated, or clustered
INFLUX_DB_CLUSTER_ID Yes (Cloud Dedicated) Cluster identifier for Cloud Dedicated
INFLUX_DB_ACCOUNT_ID Cloud Dedicated (management) Account identifier, with a management token
INFLUX_DB_MANAGEMENT_TOKEN Cloud Dedicated/Clustered (management) Token for database-management operations

* On Cloud Dedicated and Clustered, provide a database token, a management token (with INFLUX_DB_ACCOUNT_ID on Cloud Dedicated), or both, per the README's per-product options.

Use Cases

  • Conversational analytics — ask natural-language questions and have the agent translate them into SQL against your InfluxDB 3 databases.
  • Schema exploration — let an LLM enumerate databases, measurements, and column types before writing queries or application code.
  • Operational data entry — write line-protocol points into a database from within an agentic workflow.
  • Database administration — create, reconfigure (retention/limits), and remove databases through natural language.
  • Token lifecycle management — mint, list, and revoke admin/resource/database tokens on Core, Enterprise, and Cloud clusters (with least-privilege scoping).

Safety and Privacy

  • Write and delete capable. write_line_protocol, create_database/update_database, and the irreversible delete_database can change or destroy data; execute_query runs arbitrary SQL with the token's permissions.
  • Credential-issuing tools. Token tools can create and revoke access — regenerate_operator_token is explicitly dangerous/irreversible. Treat created tokens as secrets and scope them tightly.
  • Token is the boundary. Tool availability is not access control; use a least-privilege InfluxDB token (and a non-production instance where possible) when an agent acts autonomously.
  • Data flows to the model. Query results, schemas, and database listings are returned to the LLM/MCP client and can include sensitive time-series tags or fields (device, user, or location identifiers).
  • Credential hygiene. INFLUX_DB_TOKEN, instance URL, and cluster ID live in your client config's env block — keep it out of version control and restrict who can read it.

Duplicate Check

No existing entry in the directory matches this server. A search of all directory entries for "influxdb", "influx", and "influxdata" across slugs, titles, repository URLs, and install commands returned no dedicated entry, and there is no prior entry pointing at github.com/influxdata/influxdb3_mcp_server or the npm package @influxdata/influxdb3-mcp-server. This is therefore a net-new, non-duplicate entry.

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How it compares

InfluxDB 3 MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

Field

The official InfluxData MCP server for InfluxDB 3 (Core, Enterprise, Cloud Dedicated, Clustered, and Cloud Serverless). It lets LLMs run SQL queries, write line-protocol data, inspect databases and measurement schemas, manage databases and tokens, and check cluster health over the Model Context Protocol.

Open dossier

The official SingleStore MCP server (singlestore-mcp-server) that lets AI assistants manage SingleStore from natural language — running SQL on a workspace, inspecting organizations, workspace groups, and workspaces, managing starter workspaces, notebooks, scheduled jobs, and Stage files — with no API keys required thanks to browser-based OAuth.

Open dossier

The official Convex MCP server, built into the Convex CLI, that lets AI agents introspect and query a Convex deployment — listing tables, paginating data, running deployed functions and read-only one-off queries, reading logs and function specs, and managing environment variables — with production deployments blocked by default as a safety measure.

Open dossier

The official OpenSearch Project MCP server (opensearch-mcp-server-py) that lets AI assistants query and operate OpenSearch clusters — listing indices, reading mappings, running Query DSL and PPL searches, inspecting shards and cluster health — over stdio or streaming transports, with basic-auth, AWS IAM, and header-based authentication.

Open dossier
Next steps
Trust
Review statusReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
Submitterdavion-knightdavion-knightdavion-knightdavion-knight
Install riskReview firstReview firstReview firstReview first
Notes Safety Privacy Safety Privacy Safety Privacy Safety Privacy
BrandInfluxDB 3 MCP Server logoInfluxDB 3 MCP ServerSingleStore MCP Server logoSingleStore MCP ServerConvex MCP Server logoConvex MCP ServerOpenSearch MCP Server logoOpenSearch MCP Server
Categorymcpmcpmcpmcp
Sourcesource-backedsource-backedsource-backedsource-backed
Authorinfluxdatasinglestore-labsget-convexopensearch-project
Added2026-07-082026-07-082026-07-082026-07-07
Platforms
Claude CodeCodexCursorClaude Desktop
Claude CodeClaude Desktop
Claude CodeClaude Desktop
Claude CodeClaude Desktop
Source repo
Safety notesThe server exposes write and delete tools — `write_line_protocol` ingests data, `create_database`/`update_database` change database config, and `delete_database` permanently removes a database (the README marks it irreversible). On Core/Enterprise it can mint and revoke credentials via `create_admin_token` (full permissions), `create_resource_token`, and `delete_token`; `regenerate_operator_token` is flagged dangerous/irreversible and rotates the operator token. The `execute_query` tool runs arbitrary SQL against the target database with the supplied token's permissions, so scope the token to least privilege rather than relying on tool naming. Cloud Dedicated/Clustered token tools (`cloud_create_database_token`, `cloud_update_database_token`, `cloud_delete_database_token`) manage real database access grants on the cluster. Point the server at a non-production instance or a tightly scoped token when letting an agent act autonomously; token permissions are the authoritative boundary, not the tool list.The `run_sql` tool executes SQL against a connected workspace with the authenticated user's permissions, so it can read and modify data; scope the SingleStore account/role to least privilege. Workspace and job tools can create and terminate starter workspaces and create or delete scheduled jobs (`create_starter_workspace`, `terminate_starter_workspace`, `create_job_from_notebook`, `delete_job`), which affect real cloud resources and billing. Stage tools can upload, move, and delete files in a deployment's Stage file system (`stage_upload_file`, `stage_move`, `stage_delete`); treat them as write/delete-capable. Authentication is the boundary — the standard flow stores browser-OAuth session credentials, and the Docker flow uses a Management API key, so restrict what the authenticated identity can reach. Point the server at a non-production organization or a least-privilege identity when letting an agent act autonomously.Production deployments are blocked by default; accessing them requires the explicit `--dangerously-enable-production-deployments` flag, which then allows reading and modifying live production data. The `run` tool executes deployed Convex functions (including mutations) and the env tools (`envSet`, `envRemove`) change deployment configuration, so these can modify a deployment. The `runOneoffQuery` tool runs sandboxed JavaScript that is read-only and cannot modify data, but `data`/`tables` can read arbitrary documents from the deployment. Per the docs, setting `--project-dir` does not stop an agent from passing a custom `projectDir` in the status tool or acting on deployments of other projects; restrict access accordingly. Use `--disable-tools` (e.g. `data,run,envSet`) to narrow what the server can do, and keep it pointed at a development deployment when an agent acts autonomously.Core tools are read/query-oriented, but the default-enabled GenericOpenSearchApiTool can call ANY OpenSearch API endpoint with a custom path, method, and body — including write and delete operations within the credential's permissions. Opt-in categories add mutating tools; for example the memory and agentic-memory tools can create and delete stored memories (including delete-by-query), and search-relevance tools can create and delete configurations, query sets, judgments, and experiments. Access is bounded by the OpenSearch credential and cluster RBAC, not by tool naming — scope the user/role to least privilege and prefer a non-production cluster when an agent acts autonomously. Dynamic connection parameters let an agent pass `opensearch_url` and auth values per tool call, so a single running server can be pointed at multiple clusters; restrict which endpoints and credentials are available to the agent. In streaming (SSE/Streamable HTTP) mode the server listens on a network port; do not expose it on a public interface without authentication in front of it.
Privacy notesThe server connects to your live InfluxDB 3 instance with the token you supply; query results, measurement schemas, and database listings it returns are passed to the LLM/MCP client. Time-series records and tags can contain sensitive or identifying data (device IDs, user IDs, locations, metrics), and query/schema tools can surface those fields to the model. Token-management tools can list and reveal token metadata; treat created tokens and their scopes as secrets. Credentials (`INFLUX_DB_TOKEN`, instance URL, cluster ID) are provided through environment variables in your MCP client config — keep that config out of version control and restrict access to it.The server connects to your SingleStore account and workspaces; user and organization details, SQL results, notebook contents, and Stage files it returns are passed to the LLM/MCP client. SQL query results can include sensitive or PII data stored in your databases, and organization/workspace metadata can reveal infrastructure details. OAuth session credentials (standard setup) or the `MCP_API_KEY` (Docker) grant account access — keep client config out of version control and restrict access to it. Notebook and Stage tools can read and write files in SingleStore Spaces/Stage; treat that stored content as retained data.The server connects to your Convex deployment using your local CLI credentials; table listings, documents, logs, and function specs it returns are passed to the LLM/MCP client. Document data can include sensitive or PII fields stored in your tables, and log output can contain request data. Environment-variable tools (`envGet`, `envList`) can read deployment configuration, which may include secrets; treat that output as sensitive. The server reads your local Convex project directory to resolve deployments; keep credentials and any custom `--env-file` out of version control.The server connects to your OpenSearch cluster with the credentials you supply; index documents, mappings, and search results it returns are passed to the LLM/MCP client and can include sensitive or PII fields stored in your indices. Cluster-introspection tools (shards, nodes, cluster state/health, allocation, hot threads, tasks) can expose infrastructure metadata such as node hosts, system metrics, and index settings. Credentials are provided via environment variables or per-call parameters — basic-auth passwords, AWS IAM role ARNs, and AWS profiles/keys — so keep client config out of version control and restrict access to it. Memory and agentic-memory tools persist agent-authored statements into OpenSearch; treat that stored content and any semantic enrichment as retained data.
Prerequisites
  • Node.js 20.11 or newer and npm 9 or newer (for the npm/npx runtime), or Docker as an alternative
  • A reachable InfluxDB 3 instance — Core, Enterprise, Cloud Serverless, Cloud Dedicated, or Clustered
  • An InfluxDB token (and, for Cloud Dedicated, the cluster ID) with the permissions you want the agent to have
  • The correct `INFLUX_DB_PRODUCT_TYPE` for your deployment (`core`, `enterprise`, `cloud-serverless`, `cloud-dedicated`, or `clustered`)
  • Python 3.10 or newer and the `uv`/`uvx` package manager (or `pip install singlestore-mcp-server`)
  • A SingleStore account; the standard setup signs in through browser-based OAuth on first start
  • For Docker runs only, a SingleStore Management API key (`MCP_API_KEY`), since the OAuth flow is not supported inside containers
  • An MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Gemini, etc.)
  • Node.js and npm (the server runs via `npx -y convex@latest mcp start`)
  • A Convex project and account; the CLI uses your existing Convex login for deployment access
  • A Convex deployment to target (the dev deployment is used by default; production is opt-in)
  • An MCP-compatible client (Claude Desktop, Cursor, VS Code, Windsurf, etc.)
  • Python 3.10 or newer and the `uv`/`uvx` package manager (or `pip install opensearch-mcp-server-py`)
  • A reachable OpenSearch cluster — self-managed, Amazon OpenSearch Service, or OpenSearch Serverless
  • Credentials for the chosen auth method — basic auth (username/password), AWS IAM role/profile, or header-based auth
  • An MCP-compatible client (Claude Desktop, Claude Code, Cursor, Kiro, VS Code, etc.)
Install
npx -y @influxdata/influxdb3-mcp-server
uvx singlestore-mcp-server start
npx -y convex@latest mcp start
uvx opensearch-mcp-server-py
Config
{
  "mcpServers": {
    "influxdb": {
      "command": "npx",
      "args": ["-y", "@influxdata/influxdb3-mcp-server"],
      "env": {
        "INFLUX_DB_INSTANCE_URL": "https://us-east-1-1.aws.cloud2.influxdata.com",
        "INFLUX_DB_TOKEN": "<YOUR_INFLUXDB_TOKEN>",
        "INFLUX_DB_PRODUCT_TYPE": "cloud-serverless"
      }
    }
  }
}
{
  "mcpServers": {
    "singlestore-mcp-server": {
      "command": "uvx",
      "args": ["singlestore-mcp-server", "start"]
    }
  }
}
{
  "mcpServers": {
    "convex": {
      "command": "npx",
      "args": ["-y", "convex@latest", "mcp", "start"]
    }
  }
}
{
  "mcpServers": {
    "opensearch": {
      "command": "uvx",
      "args": ["opensearch-mcp-server-py"]
    }
  }
}
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