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Sentry

Local
by: modelcontextprotocol
|
category: utility
|
2025.08.30 updated

Retrieving and analyzing issues from Sentry.io

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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:

Using uvx
"mcpServers": {
  "sentry": {
    "command": "uvx",
    "args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}
Using docker
"mcpServers": {
  "sentry": {
    "command": "docker",
    "args": ["run", "-i", "--rm", "mcp/sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}
Using pip installation
"mcpServers": {
  "sentry": {
    "command": "python",
    "args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}

Usage with VS Code

For quick installation, use one of the one-click installation buttons below...

Install with UV in VS Code Install with UV in VS Code Insiders

Install with Docker in VS Code Install with Docker in VS Code Insiders

For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open Settings (JSON).

Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.

Note that the mcp key is needed when using the mcp.json file.

Using uvx
{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "auth_token",
        "description": "Sentry Auth Token",
        "password": true
      }
    ],
    "servers": {
      "sentry": {
        "command": "uvx",
        "args": ["mcp-server-sentry"],
        "env": {
          "SENTRY_AUTH_TOKEN": "${input:auth_token}"
        }
      }
    }
  }
}
Using docker
{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "auth_token",
        "description": "Sentry Auth Token",
        "password": true
      }
    ],
    "servers": {
      "sentry": {
        "command": "docker",
        "args": ["run", "-i", "--rm", "mcp/sentry"],
        "env": {
          "SENTRY_AUTH_TOKEN": "${input:auth_token}"
        }
      }
    }
  }
}

Usage with Zed

Add to your Zed settings.json:

Using uvx
"context_servers": [
  "mcp-server-sentry": {
    "command": {
      "path": "uvx",
      "args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
    }
  }
],
Using pip installation
"context_servers": {
  "mcp-server-sentry": {
    "command": "python",
    "args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
},

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

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