Which integrations are available for this server?

Provides tools for retrieving and analyzing error reports from Sentry.io, including the ability to fetch detailed issue information, view stacktraces, and list issues by project to help with debugging and error monitoring.

How do I use MCP Sentry?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Sentry show me the latest issues for my-api project" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

mcp-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

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
get_list_issues
- Retrieve and analyze Sentry issues by project slug
- Input:
  - project_slug (string): Sentry project slug to analyze
  - organization_slug (string): Sentry organization slug to analyze
- Returns: List of issues with details including:
  - Title
  - Issue ID
  - Status
  - Level
  - First seen timestamp
  - Last seen timestamp
  - Event count
  - Basic issue information

Prompts

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

Related MCP server: MCP Server Sentry

Installation

Installing via Smithery

To install mcp-sentry for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @qianniuspace/mcp-sentry --client claude

Using uv (recommended)

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

Using PIP

Alternatively you can install mcp-sentry via pip:

pip install mcp-sentry

or use uv

uv pip install -e .

After installation, you can run it as a script using:

python -m mcp_sentry

Configuration

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

"mcpServers": {
  "sentry": {
    "command": "uvx",
    "args": ["mcp-sentry", "--auth-token", "YOUR_SENTRY_TOKEN","--project-slug" ,"YOUR_PROJECT_SLUG", "--organization-slug","YOUR_ORGANIZATION_SLUG"]
  }
}

"mcpServers": {
  "sentry": {
    "command": "docker",
    "args": ["run", "-i", "--rm", "mcp/sentry", "--auth-token", "YOUR_SENTRY_TOKEN","--project-slug" ,"YOUR_PROJECT_SLUG", "--organization-slug","YOUR_ORGANIZATION_SLUG"]
  }
}

"mcpServers": {
  "sentry": {
    "command": "python",
    "args": ["-m", "mcp_sentry", "--auth-token", "YOUR_SENTRY_TOKEN","--project-slug" ,"YOUR_PROJECT_SLUG", "--organization-slug","YOUR_ORGANIZATION_SLUG"]
  }
}

Usage with Zed

Add to your Zed settings.json:

For Example Curson mcp.json

"context_servers": [
  "mcp-sentry": {
    "command": {
      "path": "uvx",
      "args": ["mcp-sentry", "--auth-token", "YOUR_SENTRY_TOKEN","--project-slug" ,"YOUR_PROJECT_SLUG", "--organization-slug","YOUR_ORGANIZATION_SLUG"]
    }
  }
],

"context_servers": {
  "mcp-sentry": {
    "command": "python",
    "args": ["-m", "mcp_sentry", "--auth-token", "YOUR_SENTRY_TOKEN","--project-slug" ,"YOUR_PROJECT_SLUG", "--organization-slug","YOUR_ORGANIZATION_SLUG"]
  }
},

"context_servers": {
  "sentry": {
      "command": "python",
      "args": [
        "-m",
        "mcp_sentry",
        "--auth-token",
        "YOUR_SENTRY_TOKEN",
        "--project-slug",
        "YOUR_PROJECT_SLUG",
        "--organization-slug",
        "YOUR_ORGANIZATION_SLUG"
      ],
      "env": {
        "PYTHONPATH": "path/to/mcp-sentry/src"
      }
    }
},

Debugging

You can use the MCP inspector to debug the server. For uvx installations:

npx @modelcontextprotocol/inspector uvx mcp-sentry --auth-token YOUR_SENTRY_TOKEN --project-slug YOUR_PROJECT_SLUG --organization-slug YOUR_ORGANIZATION_SLUG

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-sentry --auth-token YOUR_SENTRY_TOKEN --project-slug YOUR_PROJECT_SLUG --organization-slug YOUR_ORGANIZATION_SLUG

or in term

npx @modelcontextprotocol/inspector uv --directory /Volumes/ExtremeSSD/MCP/mcp-sentry/src run mcp_sentry --auth-token YOUR_SENTRY_TOKEN
--project-slug YOUR_PROJECT_SLUG --organization-slug YOUR_ORGANIZATION_SLUG

Inspector-tools

Fork From

https://github.com/modelcontextprotocol/servers/tree/main/src/sentr

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.

MCP Sentry