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    Mcp Sentry

    A Model Context Protocol server for retrieving and analyzing issues from Sentry.io

    21 stars
    Python
    Updated Aug 6, 2025
    mcp
    mcp-server
    python
    sentry

    Table of Contents

    • Overview
    • Tools
    • Prompts
    • Installation
    • Installing via Smithery
    • Using uv (recommended)
    • Using PIP
    • Configuration
    • Usage with Claude Desktop
    • Usage with Zed
    • Debugging
    • Fork From
    • License

    Table of Contents

    • Overview
    • Tools
    • Prompts
    • Installation
    • Installing via Smithery
    • Using uv (recommended)
    • Using PIP
    • Configuration
    • Usage with Claude Desktop
    • Usage with Zed
    • Debugging
    • Fork From
    • License

    Documentation

    mcp-sentry: A Sentry MCP server

    smithery badge

    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

    2. 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

    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

    Installing via Smithery

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

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

    Using uv (recommended)

    When using [uv](https://docs.astral.sh/uv/) no specific installation is needed. We will

    use [uvx](https://docs.astral.sh/uv/guides/tools/) to directly run *mcp-sentry*.

    Using PIP

    Alternatively you can install mcp-sentry via pip:

    code
    pip install mcp-sentry

    or use uv

    code
    uv pip install -e .

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

    code
    python -m mcp_sentry

    Configuration

    Usage with Claude Desktop

    Add this to your claude_desktop_config.json:

    Using uvx

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

    Using docker

    json
    "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"]
      }
    }

    Using pip installation

    json
    "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:

    Using uvx

    For Example Curson mcp.json

    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"]
        }
      }
    ],

    Using pip installation

    json
    "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"]
      }
    },

    Using pip installation with custom path

    json
    "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:

    code
    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:

    code
    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

    code
    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.

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