VictoriaLogs MCP Server

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

This provides access to your VictoriaLogs instance and seamless integration with VictoriaLogs APIs and documentation. It can give you a comprehensive interface for logs, observability, and debugging tasks related to your VictoriaLogs 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 VictoriaLogs, i.e. all functions available in Web UI:

Querying logs and exploring logs data
Showing parameters of your VictoriaLogs instance
Listing available streams, fields, field values
Query statistics for the logs as metrics

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 VictoriaLogs instance. 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-vmlogs-mcp.victoriametrics.com/mcp

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

Here is example of configuration for Claude Desktop:

Requirements

VictoriaLogs instance: (single-node or cluster)
Go 1.24 or higher (if you want to build from source)

Installation

Go

go install github.com/VictoriaMetrics-Community/mcp-victorialogs/cmd/mcp-victorialogs@latest

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=$(curl -s https://api.github.com/repos/VictoriaMetrics-Community/mcp-victorialogs/releases/latest | grep 'tag_name' | cut -d\" -f4)
wget https://github.com/VictoriaMetrics-Community/mcp-victorialogs/releases/download/$latest/mcp-victorialogs_Linux_x86_64.tar.gz
tar axvf mcp-victorialogs_Linux_x86_64.tar.gz

Docker

You can run VictoriaLogs 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-victorialogs \
  -e MCP_SERVER_MODE=sse \
  -e VL_INSTANCE_ENTRYPOINT=https://play-vmlogs.victoriametrics.com \
  ghcr.io/victoriametrics-community/mcp-victorialogs

You should replace environment variables with your own parameters.

Note that the MCP_SERVER_MODE=sse flag is used to enable Server-Sent Events mode, which used by MCP clients to connect. Alternatively, you can use MCP_SERVER_MODE=http 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-Community/mcp-victorialogs.git
cd mcp-victorialogs

Build binary from cloned source code:

make build
# after that you can find binary mcp-victorialogs and copy this file to your PATH or run inplace

Build image from cloned source code:

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

Smithery

To install VictoriaLogs MCP Server for your client automatically via Smithery, yo can use the following commands:

# Get the list of supported MCP clients
npx -y @smithery/cli list clients
#Available clients:
#  claude
#  cline
#  windsurf
#  roocode
#  witsy
#  enconvo
#  cursor
#  vscode
#  vscode-insiders
#  boltai
#  amazon-bedrock

# Install VictoriaLogs MCP server for your client
npx -y @smithery/cli install @VictoriaMetrics-Community/mcp-victorialogs --client <YOUR-CLIENT-NAME>
# and follow the instructions

Configuration

MCP Server for VictoriaLogs is configured via environment variables:

Variable	Description	Required	Default	Allowed values
`VL_INSTANCE_ENTRYPOINT`	URL to VictoriaLogs instance	Yes	-	-
`VL_INSTANCE_BEARER_TOKEN`	Authentication token for VictoriaLogs API	No	-	-
`MCP_SERVER_MODE`	Server operation mode. See Modes for details.	No	`stdio`	`stdio`, `sse`, `http`
`MCP_LISTEN_ADDR`	Address for SSE or HTTP server to listen on	No	`localhost:8081`	-
`MCP_DISABLED_TOOLS`	Comma-separated list of tools to disable	No	-	-

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 public playground
export VL_INSTANCE_ENTRYPOINT="https://play-vmlogs.victoriametrics.com"

# Server mode
export MCP_SERVER_MODE="sse"
export MCP_SSE_ADDR="0.0.0.0:8081"
export MCP_DISABLED_TOOLS="hits,facets"

Endpoints

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

Endpoint	Description
`/sse` + `/message`	Endpoints for messages in SSE mode (for MCP clients that support SSE)
`/mcp`	HTTP endpoint for streaming messages in HTTP mode (for MCP clients that support Streamable HTTP)
`/metrics`	Metrics in Prometheus format for monitoring the MCP server
`/health/liveness`	Liveness check endpoint to ensure the server is running
`/health/readiness`	Readiness 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": {
    "victorialogs": {
      "command": "/path/to/mcp-victorialogs",
      "env": {
        "VL_INSTANCE_ENTRYPOINT": "<YOUR_VL_INSTANCE>",
        "VL_INSTANCE_BEARER_TOKEN": "<YOUR_VL_BEARER_TOKEN>"
      }
    }
  }
}

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": {
    "victorialogs": {
      "command": "/path/to/mcp-victorialogs",
      "env": {
        "VL_INSTANCE_ENTRYPOINT": "<YOUR_VL_INSTANCE>",
        "VL_INSTANCE_BEARER_TOKEN": "<YOUR_VL_BEARER_TOKEN>"
      }
    }
  }
}

See Claude Desktop MCP docs for more info.

Claude Code

Run the command:

claude mcp add victorialogs -- /path/to/mcp-victorialogs \
  -e VL_INSTANCE_ENTRYPOINT=<YOUR_VL_INSTANCE> \
  -e VL_INSTANCE_BEARER_TOKEN=<YOUR_VL_BEARER_TOKEN>

See Claude Code MCP docs for more info.

Visual Studio Code

Add this to your VS Code MCP config file:

{
  "servers": {
    "victorialogs": {
      "type": "stdio",
      "command": "/path/to/mcp-victorialogs",
      "env": {
        "VL_INSTANCE_ENTRYPOINT": "<YOUR_VL_INSTANCE>",
        "VL_INSTANCE_BEARER_TOKEN": "<YOUR_VL_BEARER_TOKEN>"
      }
    }
  }
}

See VS Code MCP docs for more info.

Zed

Add the following to your Zed config file:

  "context_servers": {
    "victorialogs": {
      "command": {
        "path": "/path/to/mcp-victorialogs",
        "args": [],
        "env": {
          "VL_INSTANCE_ENTRYPOINT": "<YOUR_VL_INSTANCE>",
          "VL_INSTANCE_BEARER_TOKEN": "<YOUR_VL_BEARER_TOKEN>"
        }
      },
      "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": {
    "victorialogs": {
      "command": "/path/to/mcp-victorialogs",
      "env": {
        "VL_INSTANCE_ENTRYPOINT": "<YOUR_VL_INSTANCE>",
        "VL_INSTANCE_BEARER_TOKEN": "<YOUR_VL_BEARER_TOKEN>"
      }
    }
  }
}

Windsurf

Add the following to your Windsurf MCP config file.

{
  "mcpServers": {
    "victorialogs": {
      "command": "/path/to/mcp-victorialogs",
      "env": {
        "VL_INSTANCE_ENTRYPOINT": "<YOUR_VL_INSTANCE>",
        "VL_INSTANCE_BEARER_TOKEN": "<YOUR_VL_BEARER_TOKEN>"
      }
    }
  }
}

See Windsurf MCP docs for more info.

Using Docker instead of binary

You can run VictoriaLogs 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", "VL_INSTANCE_ENTRYPOINT",
          "-e", "VL_INSTANCE_BEARER_TOKEN",
          "ghcr.io/victoriametrics-community/mcp-victorialogs",
        ],
      "env": {
        "VL_INSTANCE_ENTRYPOINT": "<YOUR_VL_INSTANCE>",
        "VL_INSTANCE_BEARER_TOKEN": "<YOUR_VL_BEARER_TOKEN>"
      }
    }
  }
}

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 VictoriaLogs in the following answers

But it's not required, you can just start asking questions and the assistant will automatically use the tools and documentation to provide you with the best answers.

Toolset

MCP VictoriaLogs provides numerous tools for interacting with your VictoriaLogs instance.

Here's a list of available tools:

Tool	Description
`documentation`	Search in embedded VictoriaLogs documentation
`facets`	Most frequent values per each log field
`field_names`	List of field names for the query
`field_values`	List of field values for the query
`flags`	View non-default flags of the VictoriaLogs instance
`hits`	The number of matching log entries grouped by buckets
`query`	Execute LogsQL queries
`stats_query`	Querying log stats for the given time
`stats_query_range`	Querying log stats on the given time range
`stream_field_names`	List of stream fields for the query
`stream_field_values`	List of stream field values for the query
`stream_ids`	List of stream IDs for the query
`streams`	List of streams for the query

Prompts

The server includes pre-defined prompts for common tasks.

These are just examples at the moment, the prompt library will be added to in the future:

Prompt	Description
`documentation`	Search VictoriaLogs documentation for specific topics

Roadmap

Disclaimer

AI services and agents along with MCP servers like this cannot guarantee the accuracy, completeness and reliability of results. You should double check the results obtained with AI.

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.

Contributing

Contributions to the MCP VictoriaLogs project are welcome!

Please feel free to submit issues, feature requests, or pull requests.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
.github		.github
cmd/mcp-victorialogs		cmd/mcp-victorialogs
scripts		scripts
vendor		vendor
.dockerignore		.dockerignore
.gitignore		.gitignore
.golangci.yml		.golangci.yml
.goreleaser.yaml		.goreleaser.yaml
.wwhrd.yml		.wwhrd.yml
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
Dockerfile		Dockerfile
Dockerfile.goreleaser		Dockerfile.goreleaser
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
go.mod		go.mod
go.sum		go.sum
smithery.yaml		smithery.yaml

License

VictoriaMetrics-Community/mcp-victorialogs

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VictoriaLogs MCP Server

Features

Try without installation

Requirements

Installation

Go

Binaries

Docker

Source Code

Smithery

Configuration

Modes

Сonfiguration examples

Endpoints

Setup in clients

Cursor

Claude Desktop

Claude Code

Visual Studio Code

Zed

JetBrains IDEs

Windsurf

Using Docker instead of binary

Usage

Toolset

Prompts

Roadmap

Disclaimer

Contributing

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