Sentry MCP

# Sentry MCP Server Connects AI assistants to Sentry for searching errors, analyzing performance, triaging issues, reading documentation, and managing projects — all via the Model Context Protocol. All connections use OAuth. The first connection will trigger an authentication flow to connect to your Sentry account. ## Connecting The base MCP server address is: `https://mcp.sentry.dev/mcp` You can optionally scope the connection to an organization or project: - `https://mcp.sentry.dev/mcp/{organizationSlug}` — scoped to one organization - `https://mcp.sentry.dev/mcp/{organizationSlug}/{projectSlug}` — scoped to one project When scoped, tools automatically default to the constrained org/project and unnecessary discovery tools are hidden. Scoping to a project is recommended when possible. ### Query Parameters - `?experimental=1` — Enable forward-looking tool variants and experimental features - `?agent=1` — Agent mode: exposes a single `use_sentry` tool that handles natural language requests via an embedded AI agent (roughly doubles response time) Parameters can be combined: `https://mcp.sentry.dev/mcp/my-org/my-project?experimental=1` ## Setup Instructions ### Claude Code ```bash claude mcp add --transport http sentry https://mcp.sentry.dev/mcp/{organizationSlug}/{projectSlug} ``` ### Cursor Use the "Install MCP Server" button, or manually add to MCP settings: ```json { "mcpServers": { "sentry": { "url": "https://mcp.sentry.dev/mcp/{organizationSlug}/{projectSlug}" } } } ``` ### VSCode Command Palette → "MCP: Add Server" → HTTP → enter the endpoint: ``` https://mcp.sentry.dev/mcp/{organizationSlug}/{projectSlug} ``` ### Other Clients Any MCP-compatible client can connect using the HTTP transport at the endpoint URL above.