Sentry
About
Connects to Sentry.io for error monitoring and debugging, enabling retrieval and analysis of specific issues or entire project lists with detailed stack traces, error frequencies, and timestamps.
Details
- Author
- javader
- Repository
- javaDer/mcp-sentry-custom
- Downloads
- 2,125
- Categories
- Productivity, Developer Tools, AI, Infrastructure, Project Management
Jump to
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
SentryCommand (node, npx, python, etc.)uvxArguments-
Argument 1
mcp-sentry-custom -
Argument 2
--auth-token -
Argument 3
YOUR_SENTRY_TOKEN -
Argument 4
--project-slug -
Argument 5
YOUR_PROJECT_SLUG -
Argument 6
--organization-slug -
Argument 7
YOUR_ORGANIZATION_SLUG -
Argument 8
--sentry-url -
Argument 9
YOUR_SENTRY_URL
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
To install mcp-sentry-custom for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @javaDer/mcp-sentry-custom --client claude
Add the following to your claude_desktop_config.json:
{
"context_servers": {
"mcp-sentry-custom": {
"command": "python",
"args": [
"-m", "mcp_sentry",
"--auth-token", "YOUR_SENTRY_TOKEN",
"--project-slug", "YOUR_PROJECT_SLUG",
"--organization-slug", "YOUR_ORGANIZATION_SLUG",
"--sentry-url", "YOUR_SENTRY_URL"
]
}
}
}
Add the following to your settings.json in Zed:
{
"context_servers": {
"mcp-sentry-custom": {
"command": "python",
"args": [
"-m", "mcp_sentry",
"--auth-token", "YOUR_SENTRY_TOKEN",
"--project-slug", "YOUR_PROJECT_SLUG",
"--organization-slug", "YOUR_ORGANIZATION_SLUG",
"--sentry-url", "YOUR_SENTRY_URL"
],
"env": {
"PYTHONPATH": "path/to/mcp-sentry-custom/src"
}
}
}
}
npx @modelcontextprotocol/inspector uvx mcp-sentry-custom --auth-token YOUR_SENTRY_TOKEN --project-slug YOUR_PROJECT_SLUG --organization-slug YOUR_ORGANIZATION_SLUG --sentry-url YOUR_SENTRY_URL
get_sentry_issue
Retrieve and analyze a specific Sentry issue by its ID or URL. Input: issue_id_or_url (string): The Sentry issue ID or full URL to analyze. Returns detailed issue information, including title, issue ID, status, level, first seen timestamp, last seen timestamp, event count, and full stack trace.
get_list_issues
Retrieve and analyze a list of Sentry issues for a specific project. Input: project_slug (string): The Sentry project slug, organization_slug (string): The Sentry organization slug. Returns a list of issues with details, including title, issue ID, status, level, first seen timestamp, last seen timestamp, event count, and basic issue information.
sentry-issue
Retrieve formatted issue details from Sentry for use in conversation context. Input: issue_id_or_url (string): The Sentry issue ID or URL. Returns formatted issue details.
1. get_sentry_issue
- Description: Retrieve and analyze a specific Sentry issue by its ID or URL.
- Input:
- issue_id_or_url (string): The Sentry issue ID or full URL to analyze.
- Returns: Detailed issue information, including:
- Title
- Issue ID
- Status
- Level
- First seen timestamp
- Last seen timestamp
- Event count
- Full stack trace
2. get_list_issues
- Description: Retrieve and analyze a list of Sentry issues for a specific project.
- Input:
- project_slug (string): The Sentry project slug.
- organization_slug (string): The Sentry organization slug.
- Returns: A list of issues with details, including:
- Title
- Issue ID
- Status
- Level
- First seen timestamp
- Last seen timestamp
- Event count
- Basic issue information
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"sentry": {
"env": {},
"args": [
"mcp-sentry-custom",
"--auth-token",
"YOUR_SENTRY_TOKEN",
"--project-slug",
"YOUR_PROJECT_SLUG",
"--organization-slug",
"YOUR_ORGANIZATION_SLUG",
"--sentry-url",
"YOUR_SENTRY_URL"
],
"command": "uvx"
}
}
}
Linux
{
"env": [],
"args": [
"mcp-sentry-custom",
"--auth-token",
"YOUR_SENTRY_TOKEN",
"--project-slug",
"YOUR_PROJECT_SLUG",
"--organization-slug",
"YOUR_ORGANIZATION_SLUG",
"--sentry-url",
"YOUR_SENTRY_URL"
],
"command": "uvx"
}
Macos
{
"env": [],
"args": [
"mcp-sentry-custom",
"--auth-token",
"YOUR_SENTRY_TOKEN",
"--project-slug",
"YOUR_PROJECT_SLUG",
"--organization-slug",
"YOUR_ORGANIZATION_SLUG",
"--sentry-url",
"YOUR_SENTRY_URL"
],
"command": "uvx"
}
Windows
{
"env": [],
"args": [
"/c",
"uvx",
"mcp-sentry-custom",
"--auth-token",
"YOUR_SENTRY_TOKEN",
"--project-slug",
"YOUR_PROJECT_SLUG",
"--organization-slug",
"YOUR_ORGANIZATION_SLUG",
"--sentry-url",
"YOUR_SENTRY_URL"
],
"command": "cmd"
}
mcp-sentry-custom: A Sentry MCP Server
Overview
mcp-sentry-custom is a Model Context Protocol (MCP) server designed to retrieve and analyze issues from Sentry.io or self-hosted Sentry instances. This server provides tools to inspect error reports, stack traces, and other debugging information directly from your Sentry account.
Features
Tools
1. get_sentry_issue
- Description: Retrieve and analyze a specific Sentry issue by its ID or URL.
- Input:
- issue_id_or_url (string): The Sentry issue ID or full URL to analyze.
- Returns: Detailed issue information, including:
- Title
- Issue ID
- Status
- Level
- First seen timestamp
- Last seen timestamp
- Event count
- Full stack trace
2. get_list_issues
- Description: Retrieve and analyze a list of Sentry issues for a specific project.
- Input:
- project_slug (string): The Sentry project slug.
- organization_slug (string): The Sentry organization slug.
- Returns: A 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
- Description: Retrieve formatted issue details from Sentry for use in conversation context.
- Input:
- issue_id_or_url (string): The Sentry issue ID or URL.
- Returns: Formatted issue details.
Installation
Installing via Smithery
To install mcp-sentry-custom for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @javaDer/mcp-sentry-custom --client claude
Using uv (Recommended)
When using uv, no specific installation is required. You can run mcp-sentry-custom directly with uvx:
uvx mcp-sentry-custom --auth-token YOUR_SENTRY_TOKEN --project-slug YOUR_PROJECT_SLUG --organization-slug YOUR_ORGANIZATION_SLUG --sentry-url YOUR_SENTRY_URL
Using pip
Alternatively, install mcp-sentry-custom via pip:
pip install mcp-sentry-custom
Or, with uv:
uv pip install -e .
After installation, run it as a script:
python -m mcp_sentry
Configuration
Usage with Claude Desktop
Add the following to your claude_desktop_config.json:
Using uvx
{
"mcpServers": {
"sentry": {
"command": "uvx",
"args": [
"mcp-sentry-custom",
"--auth-token", "YOUR_SENTRY_TOKEN",
"--project-slug", "YOUR_PROJECT_SLUG",
"--organization-slug", "YOUR_ORGANIZATION_SLUG",
"--sentry-url", "YOUR_SENTRY_URL"
]
}
}
}
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",
"--sentry-url", "YOUR_SENTRY_URL"
]
}
}
}
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",
"--sentry-url", "YOUR_SENTRY_URL"
]
}
}
}
Usage with Zed
Add the following to your settings.json in Zed:
Using uvx
{
"context_servers": {
"mcp-sentry-custom": {
"command": {
"path": "uvx",
"args": [
"mcp-sentry-custom",
"--auth-token", "YOUR_SENTRY_TOKEN",
"--project-slug", "YOUR_PROJECT_SLUG",
"--organization-slug", "YOUR_ORGANIZATION_SLUG",
"--sentry-url", "YOUR_SENTRY_URL"
]
}
}
}
}
Using pip Installation
{
"context_servers": {
"mcp-sentry-custom": {
"command": "python",
"args": [
"-m", "mcp_sentry",
"--auth-token", "YOUR_SENTRY_TOKEN",
"--project-slug", "YOUR_PROJECT_SLUG",
"--organization-slug", "YOUR_ORGANIZATION_SLUG",
"--sentry-url", "YOUR_SENTRY_URL"
]
}
}
}
Using pip Installation with Custom Path
{
"context_servers": {
"mcp-sentry-custom": {
"command": "python",
"args": [
"-m", "mcp_sentry",
"--auth-token", "YOUR_SENTRY_TOKEN",
"--project-slug", "YOUR_PROJECT_SLUG",
"--organization-slug", "YOUR_ORGANIZATION_SLUG",
"--sentry-url", "YOUR_SENTRY_URL"
],
"env": {
"PYTHONPATH": "path/to/mcp-sentry-custom/src"
}
}
}
}
Debugging
Use the MCP inspector to debug the server.
For uvx Installations
npx @modelcontextprotocol/inspector uvx mcp-sentry-custom --auth-token YOUR_SENTRY_TOKEN --project-slug YOUR_PROJECT_SLUG --organization-slug YOUR_ORGANIZATION_SLUG --sentry-url YOUR_SENTRY_URL
For Local Development
If you've installed the package in a specific directory or are developing it:cd path/to/mcp-sentry-custom/src
npx @modelcontextprotocol/inspector uv run mcp-sentry-custom --auth-token YOUR_SENTRY_TOKEN --project-slug YOUR_PROJECT_SLUG --organization-slug YOUR_ORGANIZATION_SLUG --sentry-url YOUR_SENTRY_URL
Or, with a custom directory:
npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-sentry-custom/src run mcp_sentry --auth-token YOUR_SENTRY_TOKEN --project-slug YOUR_PROJECT_SLUG --organization-slug YOUR_ORGANIZATION_SLUG --sentry-url YOUR_SENTRY_URL
Forked From
This project is forked from:
https://github.com/modelcontextprotocol/servers/tree/main/src/sentry
License
This MCP server is licensed under the MIT License. You are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, see the LICENSE file in the project repository.
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Notes on Changes
1. Formatting: Used proper Markdown headings, lists, and code blocks for readability. 2. Consistency: Standardized terminology (e.g.,mcp_sentry vs. mcp-sentry-custom) and removed redundant <TEXT> and <JSON> tags.
3. Clarity: Rewrote sections like "Overview" and "Features" for conciseness and precision.
4. Completeness: Fixed incomplete sentences and ensured all configuration examples were properly structured.
5. Professional Tone: Adjusted wording to sound more formal and polished.
Let me know if you'd like further refinements!29:[
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