S

Sentry

reference
other

Retrieving and analyzing issues from Sentry.io

mcp-server-sentry: A Sentry MCP server

Overview

A Model Context Protocol server for retrieving and analyzing issues from Sentry.io. This server provides tools to inspect error reports, stacktraces, and other debugging information from your Sentry account.

Tools

  1. get_sentry_issue
    • Retrieve and analyze a Sentry issue by ID or URL
    • Input:
      • issue_id_or_url
        (string): Sentry issue ID or URL to analyze
    • Returns: Issue details including:
      • Title
      • Issue ID
      • Status
      • Level
      • First seen timestamp
      • Last seen timestamp
      • Event count
      • Full stacktrace

Prompts

  1. sentry-issue
    • Retrieve issue details from Sentry
    • Input:
      • issue_id_or_url
        (string): Sentry issue ID or URL
    • Returns: Formatted issue details as conversation context

Installation

Using uv (recommended)

When using
uv
no specific installation is needed. We will use
uvx
to directly run mcp-server-sentry.

Using PIP

Alternatively you can install
mcp-server-sentry
via pip:
pip install mcp-server-sentry
After installation, you can run it as a script using:
python -m mcp_server_sentry

Configuration

Usage with Claude Desktop

Add this to your
claude_desktop_config.json
:
<details> <summary>Using uvx</summary>
"mcpServers": {
  "sentry": {
    "command": "uvx",
    "args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}
</details> <details> <details> <summary>Using docker</summary>
"mcpServers": {
  "sentry": {
    "command": "docker",
    "args": ["run", "-i", "--rm", "mcp/sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}
</details> <details> <summary>Using pip installation</summary>
"mcpServers": {
  "sentry": {
    "command": "python",
    "args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}
</details>

Usage with Zed

Add to your Zed settings.json:
<details> <summary>Using uvx</summary>
"context_servers": [
  "mcp-server-sentry": {
    "command": {
      "path": "uvx",
      "args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
    }
  }
],
</details> <details> <summary>Using pip installation</summary>
"context_servers": {
  "mcp-server-sentry": {
    "command": "python",
    "args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
},
</details>

Debugging

You can use the MCP inspector to debug the server. For uvx installations:
npx @modelcontextprotocol/inspector uvx mcp-server-sentry --auth-token YOUR_SENTRY_TOKEN
Or if you've installed the package in a specific directory or are developing on it:
cd path/to/servers/src/sentry
npx @modelcontextprotocol/inspector uv run mcp-server-sentry --auth-token YOUR_SENTRY_TOKEN

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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