https://github.com/serkanh/cloudwatch-logs-mcp
https://github.com/serkanh/cloudwatch-logs-mcp
cloudwatch cloudwatch-logs mcp mcp-server
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/serkanh/cloudwatch-logs-mcp
- Owner: serkanh
- Created: 2025-03-29T20:20:54.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-03-30T00:02:40.000Z (3 months ago)
- Last Synced: 2025-03-30T00:24:31.937Z (3 months ago)
- Topics: cloudwatch, cloudwatch-logs, mcp, mcp-server
- Language: Python
- Homepage:
- Size: 18.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- mcp-index - CloudWatch Logs - Access and analyze AWS CloudWatch logs by listing log groups and retrieving log entries directly through an AI interface. Streamline log management and enhance monitoring capabilities. (Monitoring and Logging)
README
# CloudWatch Logs MCP Server
An MCP (Model Context Protocol) server that provides tools for accessing AWS CloudWatch logs. This server allows AI assistants to list log groups and read log entries from AWS CloudWatch.
## Available Tools
### list_groups
Lists available CloudWatch log groups.
**Parameters:**
- `prefix` (optional): Log group name prefix
- `region` (optional): AWS region
- `accessKeyId` (optional): AWS access key ID
- `secretAccessKey` (optional): AWS secret access key
- `sessionToken` (optional): AWS session token
**Returns:** JSON string with the list of log groups, including `logGroupName`, `creationTime`, and `storedBytes`.
### get_logs
Gets CloudWatch logs from a specific log group.
**Parameters:**
- `logGroupName` (required): The name of the log group
- `logStreamName` (optional): The name of the log stream
- `startTime` (optional): Start time in ISO format or relative time (e.g., "5m", "1h", "1d")
- `endTime` (optional): End time in ISO format
- `filterPattern` (optional): Filter pattern for the logs
- `region` (optional): AWS region
- `accessKeyId` (optional): AWS access key ID
- `secretAccessKey` (optional): AWS secret access key
- `sessionToken` (optional): AWS session token
**Returns:** JSON string with the log events, including `timestamp`, `message`, and `logStreamName`.
## Setup
### AWS Credentials
Ensure you have AWS credentials configured. You can set them up using the AWS CLI or by setting environment variables:
- `AWS_ACCESS_KEY_ID`
- `AWS_SECRET_ACCESS_KEY`
### Usage with Claude Desktop
Add the following to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"cloudwatch-logs": {
"command": "python3",
"args": ["/path/to/cloudwatch-logs-mcp/main.py"],
"env": {
"AWS_ACCESS_KEY_ID": "",
"AWS_SECRET_ACCESS_KEY": "",
},
"disabled": false,
"autoApprove": []
}
}
}
```
### Docker
If you prefer to run the server in a Docker container, you can set up a Dockerfile and use the following configuration:
```json
{
"mcpServers": {
"cloudwatch-logs": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"AWS_ACCESS_KEY_ID",
"-e",
"AWS_SECRET_ACCESS_KEY",
"mcp/cloudwatch-logs"
],
"env": {
"AWS_ACCESS_KEY_ID": "",
"AWS_SECRET_ACCESS_KEY": "",
}
}
}
}
```
## Implementation Details
This server is built using the FastMCP class from the MCP SDK, which provides a simple way to create MCP servers. The server exposes two main tools:
1. `list_groups`: Lists available CloudWatch log groups
2. `get_logs`: Reads log entries from specific log groups
Each tool is implemented as an async function decorated with `@mcp.tool()`. The server uses the boto3 library to interact with the AWS CloudWatch Logs API.
## License
MIT