About Grafana-Loki MCP Server
Grafana-Loki MCP Server is a FastMCP-based MCP server for querying Loki logs through the Grafana API. It is aimed at developers and operators who want to search and review logs from an MCP client.
Key features
- 01Query Loki logs through the Grafana API
- 02List Loki labels and label values
- 03Format results as text, JSON, or markdown
- 04Support stdio and SSE transport protocols
Use cases
- 01Search application logs from an MCP client
- 02Inspect log values by label while troubleshooting
- 03Convert log query results into readable output
MCP support
This is an MCP server that exposes query_loki, get_loki_labels, get_loki_label_values and format_loki_results tools to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGrafana-Loki MCP Server
A FastMCP server that allows querying Loki logs from Grafana.
MCP Server Settings
{
"mcpServers": {
"loki": {
"command": "uvx",
"args": [
"grafana-loki-mcp",
"-u",
"GRAFANA_URL",
"-k",
"GRAFANA_API_KEY"
]
}
}
}
GRAFANA_URL: URL of your Grafana instanceGRAFANA_API_KEY: Grafana API key with appropriate permissions
Features
- Query Loki logs through Grafana API
- Get Loki labels and label values
- Format query results in different formats (text, JSON, markdown)
- Support for both stdio and SSE transport protocols
Requirements
- Python 3.10+
- FastMCP
- Requests
Installation
Using pip
pip install grafana-loki-mcp
Development Setup
- Clone this repository
- Install dependencies using uv:
# Install uv
pip install uv
# Create and activate virtual environment
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# Install dependencies
uv pip install -e ".[dev]"
Usage
Environment Variables
Set the following environment variables:
GRAFANA_URL: URL of your Grafana instanceGRAFANA_API_KEY: Grafana API key with appropriate permissions
Command Line Arguments
You can also provide these values as command line arguments:
grafana-loki-mcp -u https://your-grafana-instance.com -k your-api-key
Additional options:
--transport: Transport protocol to use (stdioorsse, default:stdio)
Running the Server
# Using environment variables
export GRAFANA_URL=https://your-grafana-instance.com
export GRAFANA_API_KEY=your-api-key
grafana-loki-mcp
# Using command line arguments
grafana-loki-mcp -u https://your-grafana-instance.com -k your-api-key
# Using SSE transport
grafana-loki-mcp --transport sse
Development
Testing
Run the test suite:
pytest
Run with coverage:
pytest --cov=. --cov-report=term
Linting and Formatting
# Run ruff linter
ruff check .
# Run black formatter
black .
# Run type checking
mypy .
Available Tools
query_loki
Query Loki logs through Grafana.
Parameters:
query: Loki query stringstart: Start time (ISO format, Unix timestamp, or Grafana-style relative time like 'now-1h', default: 1 hour ago)end: End time (ISO format, Unix timestamp, or Grafana-style relative time like 'now', default: now)limit: Maximum number of log lines to return (default: 100)direction: Query direction ('forward' or 'backward', default: 'backward')max_per_line: Maximum characters per log line (0 for unlimited, default: 100)
get_loki_labels
Get all label names from Loki.
get_loki_label_values
Get values for a specific label from Loki.
Parameters:
label: Label name
format_loki_results
Format Loki query results in a more readable format.
Parameters:
results: Loki query results from query_lokiformat_type: Output format ('text', 'json', or 'markdown', default: 'text')max_per_line: Maximum characters per log line (0 for unlimited, default: 0)
Example Usage
# Example client code
from mcp.client import Client
async with Client() as client:
# Query Loki logs with max_per_line limit
results = await client.call_tool(
"query_loki",
{
"query": '{app="my-app"} |= "error"',
"limit": 50,
"max_per_line": 100, # Limit log lines to 100 characters
"start": "now-6h", # Grafana-style relative time: 6 hours ago
"end": "now" # Current time
}
)
# Format the results
formatted = await client.call_tool(
"format_loki_results",
{
"results": results,
"format_type": "markdown",
"max_per_line": 100 # Can also limit at formatting time
}
)
print(formatted)
License
This project is licensed under the MIT License - see the LICENSE file for details.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.