Sentry Official MCP Server
Install NowSentry is a developer-first error tracking and performance monitoring platform
Sentry is a developer-first error tracking and performance monitoring platform
Sentry is a analytics and data insights platform that sentry is a developer-first error tracking and performance monitoring comprehensive platform. The official Sentry MCP server enables AI agents to seamlessly interact with Sentry's platform, allowing developers to leverage AI capabilities within their existing workflows and automate complex tasks that would otherwise require manual intervention.
This official MCP server is maintained and verified by Sentry, ensuring reliability, security, and up-to-date functionality. Unlike community-maintained servers, this official integration provides long-term support, comprehensive documentation, and direct vendor assistance. The server is hosted on sentry.io, guaranteeing secure and reliable access to Sentry's services.
Whether you're building AI-powered applications, automating workflows, or enhancing your development tools, the Sentry MCP server provides a standardized way to connect AI agents with Sentry's extensive platform capabilities. This integration enables natural language interactions with Sentry, making it easier than ever to leverage Sentry's features through AI assistants like Claude, ChatGPT, and Cursor.
The official Sentry MCP server enables AI agents to:
These capabilities make it easy for AI agents to work with Sentry as part of a larger automation strategy, enabling seamless integration between AI assistants and your existing tools.
The Sentry MCP server provides 27 tools for AI agents to interact with the platform. Use the search below to find specific tools.
| Tool Name | Description |
|---|---|
analyze_issue_with_seer | Use Seer to analyze production errors and get detailed root cause analysis with specific code fixes. |
create_dsn | Create an additional DSN for an EXISTING project. |
create_project | Create a new project in Sentry (includes DSN automatically). |
create_team | Create a new team in Sentry. |
find_dsns | List all Sentry DSNs for a specific project. |
find_organizations | Find organizations that the user has access to in Sentry. |
find_projects | Find projects in Sentry. |
find_releases | Find releases in Sentry. |
find_teams | Find teams in an organization in Sentry. |
get_doc | Fetch the full markdown content of a Sentry documentation page. |
get_event_attachment | Download attachments from a Sentry event. |
get_issue_details | Get detailed information about a specific Sentry issue by ID. |
get_issue_tag_values | Get tag value distribution for a specific Sentry issue. |
get_profile | Analyze CPU profiling data to identify performance bottlenecks and detect regressions. |
get_sentry_resource | Unified entry point for fetching Sentry resources. Auto-detects resource type from URL or accepts explicit type and identifiers. |
get_trace_details | Get detailed information about a specific Sentry trace by ID. |
list_events | Search events using Sentry query syntax directly (no AI/LLM required). |
list_issue_events | List events within a specific issue using Sentry query syntax (no AI/LLM required). |
list_issues | List issues using Sentry query syntax directly (no AI/LLM required). |
search_docs | Search Sentry documentation for SDK setup, instrumentation, and configuration guidance. |
search_events | Search for events AND perform counts/aggregations - the ONLY tool for statistics and counts. |
search_issue_events | Search and filter events within a specific issue using natural language queries. |
search_issues | Search for grouped issues/problems in Sentry - returns a LIST of issues, NOT counts or aggregations. |
update_issue | Update an issue's status or assignment in Sentry. This allows you to resolve, ignore, or reassign issues. |
update_project | Update project settings in Sentry, such as name, slug, platform, and team assignment. |
use_sentry | Natural language interface to Sentry via an embedded AI agent. |
whoami | Identify the authenticated user in Sentry. |
Last updated: January 27, 2026 at 12:31 PM
AI agents can use the Sentry MCP server to automate repetitive tasks and manage workflows within Sentry's platform.
The MCP server allows AI agents to query and retrieve data from Sentry, enabling intelligent data analysis and insights.
Developers can integrate Sentry capabilities directly into their AI coding assistants for seamless workflows.
Visit https://sentry.io, create an account, and generate an API key from your dashboard. Most tools offer a free tier to get started, making it easy to begin using the Sentry MCP server.
Yes, this MCP server is officially provided and maintained by Sentry. The endpoint https://mcp.sentry.dev/mcp is hosted on their official domain sentry.io, ensuring reliability and security.
The Sentry MCP server requires appropriate API credentials and permissions based on the operations you want to perform. Check the documentation for specific permission requirements.
Yes, you can configure the same MCP server across Cursor, Claude Desktop, Cline, and other MCP-compatible clients simultaneously. Each client maintains its own configuration.
The MCP server itself is free to use, but you may need a Sentry account and API access, which may have its own pricing tiers. Check https://sentry.io for current pricing information.
The Sentry MCP server enables AI agents to analyze data and generate insights. Sentry is a developer-first error tracking and performance monitoring platform This allows you to interact with Sentry's platform through natural language commands in your AI assistant.
Ensure your API key is correctly configured and your network allows outbound connections to sentry.io. Verify that the MCP endpoint URL https://mcp.sentry.dev/mcp is accessible from your network.
Verify your API key is valid and has not expired. Generate a new key from https://sentry.io if needed. Make sure you're using the correct authentication method as specified in the documentation.
Check Sentry's status page for any ongoing incidents. Try restarting your MCP client and verify that the server endpoint is correct. If issues persist, consult the official documentation or support channels.
Explore other official MCP servers that work well with Sentry:
The Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to external APIs, tools, and data sources. This official MCP server from Sentry provides standardized access to their services, allowing AI agents to interact with Sentry's platform seamlessly.
To manage all your MCP servers in one place, use Apigene's MCP Gateway, which provides centralized management, security, and governance for all your MCP server connections.
Learn more about MCP in our complete guide or browse our FAQ for common questions.