Grafana Loki
A server for querying Loki logs from Grafana.
Grafana-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.
Servidores relacionados
Alpha Vantage MCP Server
patrocinadorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
YetiBrowser MCP
YetiBrowser MCP is a fully open-source solution to allow AI assistants to easily interact with your existing browser
ImageJ / Fiji
An MCP server for ImageJ/Fiji, implemented as a Python wrapper for Fiji functions.
NuGet Package README
Fetches comprehensive information about NuGet packages from the NuGet Gallery, including READMEs, metadata, and search functionality.
MCP Game Development Server
Automate game creation using React Three Fiber and manage projects with Linear integration.
HAL (HTTP API Layer)
An MCP server that enables Large Language Models to make HTTP requests and interact with web APIs. It supports automatic tool generation from OpenAPI/Swagger specifications.
MCP Ollama Agent
A TypeScript agent that integrates MCP servers with Ollama, allowing AI models to use various tools through a unified interface.
pyATS
Interact with network devices using Cisco's pyATS and Genie libraries for model-driven automation.
ID Generator MCP
Generate unique IDs using various algorithms like UUID, CUID2, Nanoid, and ULID.
Dify Server
Integrates the Dify AI API to generate Ant Design business component code. Supports text, image inputs, and streaming responses.
MCP Server + Asgardeo
A sample MCP server that uses Asgardeo for client authentication and connection.