tailpipe-mcp
OfficialAllows querying and analyzing Kubernetes cluster logs alongside other cloud service logs, enabling security incident investigation, cost insights, and operational analysis through natural language queries.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@tailpipe-mcpWhat tables do we have available in Tailpipe?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Tailpipe Model Context Protocol (MCP) Server
Unlock the power of AI-driven log analysis with Tailpipe! This Model Context Protocol server seamlessly connects AI assistants like Claude to your cloud and SaaS logs, enabling natural language exploration and analysis of your entire data estate.
Tailpipe MCP bridges AI assistants and your log data, allowing natural language:
Queries across CloudTrail, Kubernetes, and other cloud service logs
Security incident investigation and analysis
Cost and performance insights
Query development assistance
Works with your local Tailpipe init SQL scripts, providing safe, read-only access to all your cloud and SaaS log data.
Installation
Prerequisites
Configuration
Add Tailpipe MCP to your AI assistant's configuration file:
{
"mcpServers": {
"tailpipe": {
"command": "npx",
"args": [
"-y",
"@turbot/tailpipe-mcp"
]
}
}
}By default, this will use the Tailpipe CLI to discover your init SQL script. Make sure Tailpipe is installed and configured first.
To connect to a specific init SQL script instead, add the path to the args:
{
"mcpServers": {
"tailpipe": {
"command": "npx",
"args": [
"-y",
"@turbot/tailpipe-mcp",
"/path/to/your/tailpipe_init_YYYYMMDDHHMMSS.sql"
]
}
}
}AI Assistant Setup
Assistant | Config File Location | Setup Guide |
Claude Desktop |
| |
Cursor |
|
Save the configuration file and restart your AI assistant for the changes to take effect.
Prompting Guide
Ask anything about your log data!
Explore your log data:
What tables do we have available in Tailpipe?Simple, specific questions work well:
Show me all S3 bucket creation events from CloudTrail in the last 24 hoursGenerate security reports:
What were my top 10 AWS services by cost last month?Dive into incident analysis:
Find any IAM users created outside working hours (9am-5pm) in the last weekGet timeline insights:
Give me a timeline of the session where Venu created the IAM access keyExplore potential risks:
Analyze our cloudtrail errors for any specific security risksRemember to:
Be specific about the time period you're interested in
Mention the type of data you want to analyze (CloudTrail events, cost data, etc.)
Start with simple queries before adding complex conditions
Use natural language - the LLM will handle the SQL translation
Be bold and exploratory, it's amazing what the LLM will discover and achieve!
Capabilities
Tools
Database Operations:
tailpipe_query
Run a read-only Tailpipe SQL query using DuckDB syntax
Input:
sql(string): The SQL query to execute
tailpipe_connect
Initialize or refresh the DuckDB session from a Tailpipe init SQL script
Optional input:
init_script_path(string): Path to the init SQL script to use. If not provided, refreshes the current connection.
Data Structure Operations:
tailpipe_partition_list
List all available Tailpipe partitions with simple statistics
No input parameters required
tailpipe_partition_show
Show details of a specific Tailpipe partition
Input:
name(string): Name of the partition to show details for
tailpipe_table_list
List all available Tailpipe tables
No input parameters required
tailpipe_table_show
Show details of a specific Tailpipe table and its columns
Input:
name(string): Name of the table to show details for
Plugin Operations:
tailpipe_plugin_list
List all Tailpipe plugins installed on the system
No input parameters required
tailpipe_plugin_show
Get details for a specific Tailpipe plugin installation
Input:
name(string): Name of the plugin to show details for
Source Operations:
tailpipe_source_list
List all Tailpipe sources available on the system
No input parameters required
tailpipe_source_show
Get details for a specific Tailpipe source
Input:
name(string): Name of the source to show details for
Resources
status
Represents the current state of the Tailpipe connection
Properties include:
Init script path in use
Server configuration
Runtime environment
This resource enables AI tools to check and verify the connection status to your Tailpipe session.
Development
Clone and Setup
Clone the repository and navigate to the directory:
git clone https://github.com/turbot/tailpipe-mcp.git
cd tailpipe-mcpInstall dependencies:
npm installBuild the project:
npm run buildTesting
To test your local development build with AI tools that support MCP, update your MCP configuration to use the local dist/index.js instead of the npm package. For example:
{
"mcpServers": {
"tailpipe": {
"command": "node",
"args": [
"/absolute/path/to/tailpipe-mcp/dist/index.js",
"/path/to/your/tailpipe_init_YYYYMMDDHHMMSS.sql"
]
}
}
}Or, use the MCP Inspector to validate the server implementation:
npx @modelcontextprotocol/inspector dist/index.jsEnvironment Variables
The following environment variables can be used to configure the MCP server:
TAILPIPE_MCP_INIT_SCRIPT_PATH: Specify the Tailpipe init SQL script path (alternative to command line argument)TAILPIPE_MCP_LOG_LEVEL: Control logging verbosity (default:info)debug: Show all messages (most verbose)info: Show informational, warning, and error messageswarn: Show only warning and error messageserror: Show only error messages
TAILPIPE_MCP_MEMORY_MAX_MB: Maximum memory buffer size in megabytes for command execution
Open Source & Contributing
This repository is published under the Apache 2.0 license. Please see our code of conduct. We look forward to collaborating with you!
Tailpipe is a product produced from this open source software, exclusively by Turbot HQ, Inc. It is distributed under our commercial terms. Others are allowed to make their own distribution of the software, but they cannot use any of the Turbot trademarks, cloud services, etc. You can learn more in our Open Source FAQ.
Get Involved
Want to help but don't know where to start? Pick up one of the help wanted issues:
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