Sentry Features
- •Retrieve and analyze Sentry issues
- •Inspect error reports and stacktraces
- •Access debugging information
- •Issue status tracking
- •Event count monitoring
- •Timestamp analysis
Sentry Setup & Configuration
Requirements
- •Sentry.io account
- •Sentry authentication token
- •Python or Docker
Installation Instructions
# Using UV (Recommended)
uvx mcp-server-sentry --auth-token YOUR_SENTRY_TOKEN
# Using PIP
pip install mcp-server-sentry
python -m mcp_server_sentry --auth-token YOUR_SENTRY_TOKEN
# Using Docker
docker run -i --rm mcp/sentry --auth-token YOUR_SENTRY_TOKENConfiguration
# Claude Desktop Configuration (UV)
{
"mcpServers": {
"sentry": {
"command": "uvx",
"args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
}
}
# Claude Desktop Configuration (Docker)
{
"mcpServers": {
"sentry": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
}
}
# Claude Desktop Configuration (PIP)
{
"mcpServers": {
"sentry": {
"command": "python",
"args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
}
}Sentry Available Tools
- •
get_sentry_issue - •
sentry-issue
Sentry Required Inputs
issue_id_or_url
- Type
- string
- Description
- Sentry issue ID or URL to analyze
- Required
- Yes
Sentry Use Cases
- •Error tracking and analysis
- •Debugging application issues
- •Monitoring error frequencies
- •Stacktrace investigation
- •Issue status tracking
- •Error pattern identification
- •Performance monitoring
Frequently Asked Questions
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.
Sentry.io account, Sentry authentication token, Python or DockerView detailed requirements
Follow the installation instructions in the setup section above.View installation guide
Sentry MCP provides the following tools:
- •
get_sentry_issue - •
sentry-issue
