Sentry MCP

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

Request New Sentry MCP Features
  • sentry.io

    Load Sentry Tools

    Dynamically load MCP tools for comprehensive Sentry error tracking and performance monitoring. This ability provides access to advanced Sentry capabilities including: - Create, update, issues across teams and projects - Query issues with filters, labels, and conditions - Manage project workflows, milestones, and sprints - Handle assignments - Work with roadmaps - Access issue tracking and progress Note: Do not call this ability if Sentry MCP tools are already loaded and available.
    sentry
    mcp
  • sentry.io

    List Sentry Projects

    Retrieve a list of projects the user has access to in Sentry
    sentry
    project
    list
  • sentry.io

    List Project Issues

    Return a list of issues bound to a specific project in Sentry
    sentry
    issue
    list
  • sentry.io

    List Project Events

    Return a list of events bound to a specific project in Sentry
    sentry
    event
    list

    • What is Sentry 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 Sentry MCP integration, you can:

    • Dynamically discover tools: Your AI agents automatically find and understand Sentry'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 Sentry's functionality without writing integration code

    How Sentry MCP Works

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

    Connect to MCP Server

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

    Discover Available Tools

    The system automatically discovers all available Sentry 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

    chatbotkit.comnotion.solinear.appsentry.iobox.compaypal.comstripe.comcloudinary.comcanva.comgithub.comapify.comzapier.comworkato.comisometric.comahrefs.comfigma.comintercom.compipedream.comparallel.aitodoist.commapbox.comclickup.comhunter.iotally.soamplitude.commiro.comtavily.compulumi.composthog.comlinkup.soatlassian.comzendesk.comgoogle.comquench.aihubspot.comhyperproof.appserpapi.cominstantly.aiserper.devslack.comdiscord.comshopify.comperplexity.aireddit.comreplicate.comresend.compostgrest.orgsupabase.comzoom.uspeopledatalabs.commagento.commailchimp.comdropbox.comcalendly.comcal.comwoocommerce.combigcommerce.combeehiiv.combrandfetch.iofreshdesk.comfinancialmodelingprep.comapollo.ioopenweathermap.orgopenstreetmap.orgfacebook.comusefind.aivanta.commixpanel.comgohighlevel.commake.comlemonsqueezy.commailgun.commicrosoft.comwikipedia.orgtwilio.comnubela.cobrave.comsendgrid.comeasypost.comgodaddy.comgetharvest.comtrello.comtypeform.comaccuweather.comtaxjar.comtelegram.orgcoinapi.ioclearbit.comclockify.mecoda.iocodeqr.iodictionaryapi.devably.comairtable.comasana.comalphavantage.conewsapi.orgraindrop.iounsplash.comgiphy.comlistennotes.compexels.combarcodelookup.comdev.todiffbot.comweatherbit.iogeocod.io