MCP Sentry

by MCP-100

Code Reporting

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Overview of mcp-sentry

What is mcp-sentry

mcp-sentry is a powerful Model Context Protocol server designed by MCP-100 to streamline the process of retrieving and analyzing issues from Sentry.io. If you are a developer or a tech enthusiast dealing with error monitoring and debugging, mcp-sentry offers a convenient way to inspect error reports, stack traces, and other valuable debugging information from your Sentry account. This tool acts as a bridge between your Sentry data and your workflow, providing a structured method to access and analyze critical error data.

How to Use mcp-sentry

Using mcp-sentry is straightforward, whether you're installing it for the first time or integrating it into your existing setup:

Installation:
- Using Smithery: For a seamless installation on platforms like Claude Desktop, you can use the Smithery CLI tool.
- Using uv: This is the recommended approach where no specific installation is needed. Employ uvx to directly run mcp-sentry.
- Using PIP: Alternatively, you can install mcp-sentry via pip, making it accessible as a Python module for script execution.
Running the Server:
- Once installed, you can run mcp-sentry to start analyzing your Sentry data. Use commands with appropriate authentication tokens and project/organization slugs to connect to your Sentry.io account.
Configuration:
- Customize your setup by adding mcp-sentry configurations to your JSON settings for tools like Claude Desktop or Zed. Define command paths and arguments to ensure smooth communication with Sentry.io.

Key Features of mcp-sentry

Retrieve Specific Issues: Use the get_sentry_issue tool to fetch and analyze a specific issue by its ID or URL. This feature provides detailed insights such as the issue's title, status, severity level, timestamps of first and last occurrences, event count, and the complete stack trace.
List and Analyze Issues: The get_list_issues tool allows users to retrieve a list of issues by specifying project and organization slugs. This feature is excellent for getting an overview of all issues encountered within a particular project, along with essential details like status and event counts.
Interactive Prompts: The sentry-issue prompt is designed to fetch and present issue details in a conversational context, making it easier for AI systems to interact with the data.
Flexibility and Integration: mcp-sentry is versatile and can integrate seamlessly with different environments and setups, including Docker and various command-line interfaces.
Debugging Support: Utilize the MCP inspector to diagnose and troubleshoot the server, ensuring that any issues with connectivity or data retrieval are swiftly resolved.

mcp-sentry is an invaluable tool for anyone looking to enhance their error monitoring and debugging capabilities. Its intuitive design and powerful features make it an essential component of any development toolkit.

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

Installation

Installing via

To install mcp-sentry for Claude Desktop automatically via :

npx -y @/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: Using uvx

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

Using docker

"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

"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

"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

"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

"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

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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.

How to Use

To use the mcp-sentry, follow these steps:

Visit https://github.com/MCP-100/mcp-sentry
Follow the setup instructions to create an account (if required)
Connect the MCP server to your Claude Desktop application
Start using mcp-sentry capabilities within your Claude conversations

Additional Information

Created

March 5, 2025

Company

MCP-100

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