VictoriaMetrics MCP Server

MCP serverDocs & knowledge

MCP Server for VictoriaMetrics. Provides integration with VictoriaMetrics API and documentation

Unavailable. This server has no hosted endpoint yet, so ahel can't serve it.

Connect ahel once, and every AI you use reads what you have installed.

From the project's README

As published by victoriametrics-community/mcp-victoriametrics in README.md.

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics.

This provides access to your VictoriaMetrics instance and seamless integration with VictoriaMetrics APIs and documentation. It can give you a comprehensive interface for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances, enable advanced automation and interaction capabilities for engineers and tools.

Features

This MCP server allows you to use almost all read-only APIs of VictoriaMetrics, i.e. all functions available in VMUI:

  • Querying metrics and exploring data (even drawing graphs if your client supports it)
  • Listing and exporting available metrics, labels, labels values and entire series
  • Analyzing and testing your alerting and recording rules and alerts
  • Showing parameters of your VictoriaMetrics instance
  • Exploring cardinality of your data and metrics usage statistics
  • Analyzing, tracing, prettifying and explaining your queries
  • Debugging your relabeling rules, downsampling and retention policy configurations
  • Integration with VictoriaMetrics Cloud
  • UI with setup instrinctions and tools inspection on the root endpoint (only in Streamable HTTP mode)

In addition, the MCP server contains embedded up-to-date documentation and is able to search it without online access.

More details about the exact available tools and prompts can be found in the Usage section.

You can combine functionality of tools, docs search in your prompts and invent great usage scenarios for your VictoriaMetrics instance. Just check the Dialog example section to see how it can work. And please note the fact that the quality of the MCP Server and its responses depends very much on the capabilities of your client and the quality of the model you are using.

You can also combine the MCP server with other observability or doc search related MCP Servers and get even more powerful results.

Try without installation

There is a publicly available instance of the VictoriaMetrics MCP Server that you can use to test the features without installing it:

https://play-mcp.victoriametrics.com/mcp

Attention! This URL is not supposed to be opened in a browser, it is intended to be used in MCP clients.

It's available in Streamable HTTP mode and configured to work with Public VictoriaMetrics Playground.

Here is example of configuration for Claude Desktop:

Requirements

Installation

Binaries

Just download the latest release from Releases page and put it to your PATH.

Example for Linux x86_64 (note that other architectures and platforms are also available):

latest=$(curl -s https://api.github.com/repos/VictoriaMetrics/mcp-victoriametrics/releases/latest | grep 'tag_name' | cut -d\" -f4)
wget https://github.com/VictoriaMetrics/mcp-victoriametrics/releases/download/$latest/mcp-victoriametrics_Linux_x86_64.tar.gz
tar axvf mcp-victoriametrics_Linux_x86_64.tar.gz

Docker

You can run VictoriaMetrics MCP Server using Docker.

This is the easiest way to get started without needing to install Go or build from source.

docker run -d --name mcp-victoriametrics \
  -e VM_INSTANCE_ENTRYPOINT=https://play.victoriametrics.com \
  -e VM_INSTANCE_TYPE=cluster \
  -e MCP_SERVER_MODE=sse \
  -e MCP_LISTEN_ADDR=:8080 \
  -p 8080:8080 \
  ghcr.io/victoriametrics/mcp-victoriametrics

You should replace environment variables with your own parameters.

Note that the MCP_SERVER_MODE=http flag is used to enable Streamable HTTP mode. More details about server modes can be found in the Configuration section.

See available docker images in github registry.

Also see Using Docker instead of binary section for more details about using Docker with MCP server with clients in stdio mode.

Source Code

For building binary from source code you can use the following approach:

  • Clone repo:

    git clone https://github.com/VictoriaMetrics/mcp-victoriametrics.git
    cd mcp-victoriametrics
    
  • Build binary from cloned source code:

    make build
    # after that you can find binary mcp-victoriametrics and copy this file to your PATH or run inplace
    
  • Build image from cloned source code:

    docker build -t mcp-victoriametrics .
    # after that you can use docker image mcp-victoriametrics for running or pushing
    

Helm

Check out VictoriaMetrics MCP Server Helm chart documentation for more details about installation using Helm.

Configuration

MCP Server for VictoriaMetrics is configured via environment variables:

VariableDescriptionRequiredDefaultAllowed values
VM_INSTANCE_ENTRYPOINT / VMC_API_KEYURL to VictoriaMetrics instance (it should be root / URL of vmsingle or vmselect)Yes (if you don't use VMC_API_KEY)--
VM_INSTANCE_TYPEType of VictoriaMetrics instanceYes (if you don't use VMC_API_KEY)-single, cluster
VM_INSTANCE_BEARER_TOKENAuthentication token for VictoriaMetrics APINo--
VM_INSTANCE_HEADERSCustom HTTP headers to send with requests (comma-separated key=value pairs)No--
MCP_PASSTHROUGH_HEADERSHTTP header names to forward from incoming MCP requests to VictoriaMetrics (comma-separated list). Overrides VM_INSTANCE_HEADERS on collision. Only applies in sse/http modes.No--
VM_DEFAULT_TENANT_IDDefault tenant ID for cluster mode. Format: accountID or accountID:projectID (32-bit integers). See VictoriaMetrics cluster docsNo0-
VMC_API_KEYAPI key from VictoriaMetrics Cloud ConsoleNo--
MCP_SERVER_MODEServer operation mode. See Modes for details.Nostdiostdio, sse, http
MCP_LISTEN_ADDRAddress for SSE or HTTP server to listen onNolocalhost:8080-
MCP_DISABLED_TOOLSComma-separated list of tools to disableNo'export,flags,metric_relabel_debug,downsampling_filters_debug,retention_filters_debug,test_rules'-
MCP_DISABLE_RESOURCESDisable all resources (documentation tool will continue to work)Nofalsefalse, true
MCP_HEARTBEAT_INTERVALDefines the heartbeat interval for the streamable-http protocol. It means the MCP server will send a heartbeat to the client through the GET connection, to keep the connection alive from being closed by the network infrastructure (e.g. gateways)No30s-
MCP_LOG_FORMATLog output formatNotexttext, json
MCP_LOG_LEVELMinimum log levelNoinfodebug, info, warn, error

You can use two options to connect to your VictoriaMetrics instance:

  • Using VM_INSTANCE_ENTRYPOINT + VM_INSTANCE_TYPE + VM_INSTANCE_BEARER_TOKEN (optional) environment variables to connect to any single-node or cluster instance of VictoriaMetrics.
  • Using VMC_API_KEY environment variable to work with your VictoriaMetrics Cloud instances.

Modes

MCP Server supports the following modes of operation (transports):

  • stdio - Standard input/output mode, where the server reads commands from standard input and writes responses to standard output. This is the default mode and is suitable for local servers.
  • sse - Server-Sent Events. Server will expose the /sse and /message endpoints for SSE connections.
  • http - Streamable HTTP. Server will expose the /mcp endpoint for HTTP connections.

More info about traqnsports you can find in MCP docs:

Сonfiguration examples

# For a single-node instance
export VM_INSTANCE_ENTRYPOINT="http://localhost:8428"
export VM_INSTANCE_TYPE="single"
export VM_INSTANCE_BEARER_TOKEN="your-token"
export MCP_PASSTHROUGH_HEADERS="X-Token,X-Access-Key"

# For a cluster
export VM_INSTANCE_ENTRYPOINT="https://play.victoriametrics.com"
export VM_INSTANCE_TYPE="cluster"
export MCP_DISABLED_TOOLS="export,metric_statistics,test_rules" # disable export, statistics and rules unit test tools

# For VictoriaMetrics Cloud
export VMC_API_KEY="<you-api-key>"

# Server mode
export MCP_SERVER_MODE="sse"
export MCP_LISTEN_ADDR="0.0.0.0:8080"

# Custom headers for authentication (e.g., behind a reverse proxy)
# Expected syntax is key=value separated by commas
export VM_INSTANCE_HEADERS="<HEADER>=<HEADER_VALUE>,<HEADER>=<HEADER_VALUE>"

Endpoints

In SSE and HTTP modes the MCP server provides the following endpoints:

EndpointDescription
/Landing page with setup help and tool inspection
/sse + /messageEndpoints for messages in SSE mode (for MCP clients that support SSE)
/mcpHTTP endpoint for streaming messages in HTTP mode (for MCP clients that support Streamable HTTP)
/metricsMetrics in Prometheus format for monitoring the MCP server
/health/livenessLiveness check endpoint to ensure the server is running
/health/readinessReadiness check endpoint to ensure the server is ready to accept requests

Setup in clients

Cursor

Go to: Settings -> Cursor Settings -> MCP -> Add new global MCP server and paste the following configuration into your Cursor ~/.cursor/mcp.json file:

{
  "mcpServers": {
    "victoriametrics": {
      "command": "/path/to/mcp-victoriametrics",
      "env": {
        "VM_INSTANCE_ENTRYPOINT": "<YOUR_VM_INSTANCE>",
        "VM_INSTANCE_TYPE": "<YOUR_VM_INSTANCE_TYPE>",
        "VM_INSTANCE_BEARER_TOKEN": "<YOUR_VM_BEARER_TOKEN>",
        "VM_INSTANCE_HEADERS": "<HEADER>=<HEADER_VALUE>,<HEADER>=<HEADER_VALUE>"
      }
    }
  }
}

See Cursor MCP docs for more info.

Claude Desktop

Add this to your Claude Desktop claude_desktop_config.json file (you can find it if open Settings -> Developer -> Edit config):

{
  "mcpServers": {
    "victoriametrics": {
      "command": "/path/to/mcp-victoriametrics",
      "env": {
        "VM_INSTANCE_ENTRYPOINT": "<YOUR_VM_INSTANCE>",
        "VM_INSTANCE_TYPE": "<YOUR_VM_INSTANCE_TYPE>",
        "VM_INSTANCE_BEARER_TOKEN": "<YOUR_VM_BEARER_TOKEN>",
        "VM_INSTANCE_HEADERS": "<HEADER>=<HEADER_VALUE>,<HEADER>=<HEADER_VALUE>"
      }
    }
  }
}

See Claude Desktop MCP docs for more info.

Claude Code

Run the command:

claude mcp add victoriametrics -- /path/to/mcp-victoriametrics \
  -e VM_INSTANCE_ENTRYPOINT=<YOUR_VM_INSTANCE> \
  -e VM_INSTANCE_TYPE=<YOUR_VM_INSTANCE_TYPE>
  -e VM_INSTANCE_BEARER_TOKEN=<YOUR_VM_BEARER_TOKEN>
  -e VM_INSTANCE_HEADERS="<HEADER>=<HEADER_VALUE>,<HEADER>=<HEADER_VALUE>"

See Claude Code MCP docs for more info.

Codex

Codex CLI and the IDE extension use the same MCP configuration file: ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Run the command:

codex mcp add victoriametrics \
  --env VM_INSTANCE_ENTRYPOINT=<YOUR_VM_INSTANCE> \
  --env VM_INSTANCE_TYPE=<YOUR_VM_INSTANCE_TYPE> \
  --env VM_INSTANCE_BEARER_TOKEN=<YOUR_VM_BEARER_TOKEN> \
  --env VM_INSTANCE_HEADERS="<HEADER>=<HEADER_VALUE>,<HEADER>=<HEADER_VALUE>" \
  -- /path/to/mcp-victoriametrics

Or add the following to your Codex ~/.codex/config.toml file:

[mcp_servers.victoriametrics]
command = "/path/to/mcp-victoriametrics"

[mcp_servers.victoriametrics.env]
VM_INSTANCE_ENTRYPOINT = "<YOUR_VM_INSTANCE>"
VM_INSTANCE_TYPE = "<YOUR_VM_INSTANCE_TYPE>"
VM_INSTANCE_BEARER_TOKEN = "<YOUR_VM_BEARER_TOKEN>"
VM_INSTANCE_HEADERS = "<HEADER>=<HEADER_VALUE>,<HEADER>=<HEADER_VALUE>"

If you run the server in Streamable HTTP mode, you can register it with:

codex mcp add victoriametrics --url http://localhost:8080/mcp

See Codex MCP docs for more info.

Visual Studio Code

Add this to your VS Code MCP config file:

{
  "servers": {
    "victoriametrics": {
      "type": "stdio",
      "command": "/path/to/mcp-victoriametrics",
      "env": {
        "VM_INSTANCE_ENTRYPOINT": "<YOUR_VM_INSTANCE>",
        "VM_INSTANCE_TYPE": "<YOUR_VM_INSTANCE_TYPE>",
        "VM_INSTANCE_BEARER_TOKEN": "<YOUR_VM_BEARER_TOKEN>",
        "VM_INSTANCE_HEADERS": "<HEADER>=<HEADER_VALUE>,<HEADER>=<HEADER_VALUE>"
      }
    }
  }
}

See VS Code MCP docs for more info.

Zed

Add the following to your Zed config file:

  "context_servers": {
    "victoriametrics": {
      "command": {
        "path": "/path/to/mcp-victoriametrics",
        "args": [],
        "env": {
          "VM_INSTANCE_ENTRYPOINT": "<YOUR_VM_INSTANCE>",
          "VM_INSTANCE_TYPE": "<YOUR_VM_INSTANCE_TYPE>",
          "VM_INSTANCE_BEARER_TOKEN": "<YOUR_VM_BEARER_TOKEN>",
          "VM_INSTANCE_HEADERS": "<HEADER>=<HEADER_VALUE>,<HEADER>=<HEADER_VALUE>"
        }
      },
      "settings": {}
    }
  }

See Zed MCP docs for more info.

JetBrains IDEs

  • Open Settings -> Tools -> AI Assistant -> Model Context Protocol (MCP).
  • Click Add (+)
  • Select As JSON
  • Put the following to the input field:
{
  "mcpServers": {
    "victoriametrics": {
      "command": "/path/to/mcp-victoriametrics",
      "env": {
        "VM_INSTANCE_ENTRYPOINT": "<YOUR_VM_INSTANCE>",
        "VM_INSTANCE_TYPE": "<YOUR_VM_INSTANCE_TYPE>",
        "VM_INSTANCE_BEARER_TOKEN": "<YOUR_VM_BEARER_TOKEN>",
        "VM_INSTANCE_HEADERS": "<HEADER>=<HEADER_VALUE>,<HEADER>=<HEADER_VALUE>"
      }
    }
  }
}

Windsurf

Add the following to your Windsurf MCP config file.

{
  "mcpServers": {
    "victoriametrics": {
      "command": "/path/to/mcp-victoriametrics",
      "env": {
        "VM_INSTANCE_ENTRYPOINT": "<YOUR_VM_INSTANCE>",
        "VM_INSTANCE_TYPE": "<YOUR_VM_INSTANCE_TYPE>",
        "VM_INSTANCE_BEARER_TOKEN": "<YOUR_VM_BEARER_TOKEN>",
        "VM_INSTANCE_HEADERS": "<HEADER>=<HEADER_VALUE>,<HEADER>=<HEADER_VALUE>"
      }
    }
  }
}

See Windsurf MCP docs for more info.

Using Docker instead of binary

You can run VictoriaMetrics MCP server using Docker instead of local binary.

You should replace run command in configuration examples above in the following way:

{
  "mcpServers": {
    "victoriametrics": {
      "command": "docker",
        "args": [
          "run",
          "-i", "--rm",
          "-e", "VM_INSTANCE_ENTRYPOINT",
          "-e", "VM_INSTANCE_TYPE",
          "-e", "VM_INSTANCE_BEARER_TOKEN",
          "-e", "VM_INSTANCE_HEADERS",
          "ghcr.io/victoriametrics/mcp-victoriametrics",
        ],
      "env": {
        "VM_INSTANCE_ENTRYPOINT": "<YOUR_VM_INSTANCE>",
        "VM_INSTANCE_TYPE": "<YOUR_VM_INSTANCE_TYPE>",
        "VM_INSTANCE_BEARER_TOKEN": "<YOUR_VM_BEARER_TOKEN>",
        "VM_INSTANCE_HEADERS": "<HEADER>=<HEADER_VALUE>,<HEADER>=<HEADER_VALUE>"
      }
    }
  }
}

Usage

After installing and configuring the MCP server, you can start using it with your favorite MCP client.

You can start dialog with AI assistant from the phrase:

Use MCP VictoriaMetrics in the following answers

Shortened here. Read the whole README on GitHub.

Signals

GitHub stars
231
Forks
28
Last commit
Aug 2026
Advanced
Delivery
mcp-victoriametrics MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
io-github-victoriametrics-community-mcp-victoriametrics
Source
github.com/victoriametrics-community/mcp-victoriametrics