This MCP server implementation allows AI agents to access and analyze Sentry error data through a standardized interface. It provides tools for retrieving, analyzing and viewing detailed error information from Sentry.
To install the Sentry MCP server:
pnpm install
Create a .env
file in the root directory with your Sentry authentication settings:
SENTRY_AUTH_TOKEN=your_sentry_auth_token
SENTRY_API_BASE=https://sentry.io/api/0/ # Optional, defaults to this value
Build and start the server with:
pnpm build && pnpm start
The server will run on port 1337 by default.
The server provides two different MCP interfaces:
Use the get_sentry_issue
tool by providing:
{
"issue_id_or_url": "12345"
}
Use the sentry-issue
prompt interface:
{
"issue_id_or_url": "https://sentry.io/organizations/your-org/issues/12345/"
}
The Sentry MCP Server works with Cursor IDE:
pnpm start
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.