Betterstack MCP

Connect Betterstack to your AI agents using the Model Context Protocol (MCP), enabling seamless integration with betterstack.com's services through standardized interfaces.

  • betterstack.com

    Load BetterStack Tools

    Dynamically load MCP tools for comprehensive BetterStack monitoring and incident management. This ability provides access to advanced BetterStack capabilities including: - Create, update, and manage monitors and alerts - Query monitoring data with complex filters and sorting - Manage incident workflows and on-call schedules - Handle team collaboration and communication - Work with reporting and analytics features Note: Do not call this ability if BetterStack MCP tools are already loaded and available.
    betterstack
    mcp
  • betterstack.com

    Query BetterStack Logs

    Execute a SQL query against BetterStack Logs via the ClickHouse HTTP API. Use this to search, filter, and analyze your log data with powerful SQL queries.
    betterstack
    logs
    clickhouse
    sql
    query
    analytics
  • betterstack.com

    Query Recent BetterStack Logs

    Query recent log entries from BetterStack Logs. **First, check available log retention:** SELECT min(dt) as earliest, max(dt) as latest, count(*) as total FROM remote({TABLE_PREFIX}_logs) FORMAT JSONEachRow **Then query within the available range:** SELECT dt, raw FROM remote({TABLE_PREFIX}_logs) WHERE dt >= now() - INTERVAL 30 MINUTE ORDER BY dt DESC LIMIT 100 FORMAT JSONEachRow Note: Log retention varies by plan. Always verify available time range before querying historical data.
    recent
    betterstack
    logs
    clickhouse
    sql
    query
    recent
  • betterstack.com

    Query Historical BetterStack Logs

    Query historical log entries from BetterStack Logs using S3 cold storage. **Check available historical range:** SELECT min(dt) as earliest, max(dt) as latest, count(*) as total FROM s3Cluster(primary, {TABLE_PREFIX}_s3) WHERE _row_type = 1 FORMAT JSONEachRow **Query historical logs:** SELECT dt, raw FROM s3Cluster(primary, {TABLE_PREFIX}_s3) WHERE _row_type = 1 AND dt >= now() - INTERVAL 24 HOUR ORDER BY dt DESC LIMIT 100 FORMAT JSONEachRow
    historical
    betterstack
    logs
    clickhouse
    sql
    query
    historical
    s3
  • What is Betterstack MCP?

    The Model Context Protocol (MCP) is an open standard that provides a unified way for AI applications to connect with external tools and data sources. Instead of building custom integrations for every service, MCP provides a standardized interface that allows AI models to discover available tools, understand their capabilities, and execute them safely and securely.

    With Betterstack MCP integration, you can:

    • Dynamically discover tools: Your AI agents automatically find and understand Betterstack's available capabilities through the MCP server
    • Standardized integration: Use a consistent protocol instead of learning platform-specific APIs
    • Real-time capabilities: Tools are loaded and executed on-demand during conversations
    • Secure execution: Maintain proper authentication and isolation through ChatBotKit's MCP implementation
    • No custom coding: Leverage Betterstack's functionality without writing integration code

    How Betterstack MCP Works

    ChatBotKit's MCP action provides a powerful way to dynamically extend your AI agent's capabilities by loading tools from Betterstack's MCP server.

    Connect to MCP Server

    ChatBotKit establishes a connection to Betterstack API endpoints, initiating secure communication.

    Discover Available Tools

    The system automatically discovers all available Betterstack tools and their schemas through the MCP protocol.

    Load Tool Definitions

    Tool definitions are loaded into your conversation context, making them available to your AI agent.

    Execute Securely

    Your AI uses these tools as if they were native abilities, with secure execution and proper authentication.

    MCP Integrations

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