
Sentry
An MCP server that connects to Sentry.io or self-hosted Sentry instances to retrieve and analyze error reports, stack traces, and debugging information.
javaDer
README
Below is a revised and polished version of the README.md for the mcp-sentry-custom
project, formatted properly for clarity, correctness, and professionalism. It adheres to standard Markdown conventions and organizes the content into logical sections.
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
-
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
-
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
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.
Notes on Changes
- Formatting: Used proper Markdown headings, lists, and code blocks for readability.
- Consistency: Standardized terminology (e.g.,
mcp_sentry
vs.mcp-sentry-custom
) and removed redundant<TEXT>
and<JSON>
tags. - Clarity: Rewrote sections like "Overview" and "Features" for conciseness and precision.
- Completeness: Fixed incomplete sentences and ensured all configuration examples were properly structured.
- Professional Tone: Adjusted wording to sound more formal and polished.
Let me know if you'd like further refinements!
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.
mermaid-mcp-server
A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.
Jira-Context-MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor

Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.