Sentry
About
Retrieve and analyze issues, error reports, and debugging information from Sentry.io.
Details
- Author
- mcp-100
- GitHub stars
- 22
- Downloads
- 798
- Categories
- Developer Tools, Other, Infrastructure
- Tags
- #sentry
Jump to
- Retrieve a Sentry issue by ID or URL.
- List Sentry issues by project and organization slug.
- Return issue details: title, status, level, timestamps, event count.
- Provide full stacktrace for an issue.
- Includes a prompt for conversational issue retrieval.
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.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via Smithery, uv (uvx), or pip. Configure with your Sentry auth token, project slug, and organization slug in your MCP client (e.g., Claude Desktop or Zed). Invoke the server using the commands specified in the configuration, and use the tools get_sentry_issue and get_list_issues or the prompt sentry-issue to retrieve Sentry issue data.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"sentry": {
"mcp-sentry": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@qianniuspace/mcp-sentry",
"--client",
"claude"
]
}
}
}
}
McpServers
{
"mcp-sentry": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@qianniuspace/mcp-sentry",
"--client",
"claude"
]
}
}
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.
- 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
- Title
- Issue ID
- Status
- Level
- First seen timestamp
- Last seen timestamp
- Event count
- Full stacktrace
- 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
- Title
- Issue ID
- Status
- Level
- First seen timestamp
- Last seen timestamp
- Event count
- Basic issue information
- sentry-issue
- Retrieve issue details from Sentry
- Input:
- issue_id_or_url(string): Sentry issue ID or URL
To install mcp-sentry for Claude Desktop automatically viaSmithery:
npx -y @smithery/cli install @qianniuspace/mcp-sentry --client claude
When usinguvno specific installation is needed. We will useuvxto directly runmcp-sentry.
Alternatively you can installmcp-sentryvia pip:
After installation, you can run it as a script using:
Add this to yourclaude_desktop_config.json:
"mcpServers": { "sentry": { "command": "uvx", "args": ["mcp-sentry", "--auth-token", "YOUR_SENTRY_TOKEN","--project-slug" ,"YOUR_PROJECT_SLUG", "--organization-slug","YOUR_ORGANIZATION_SLUG"] } }
"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"] } }
"mcpServers": { "sentry": { "command": "python", "args": ["-m", "mcp_sentry", "--auth-token", "YOUR_SENTRY_TOKEN","--project-slug" ,"YOUR_PROJECT_SLUG", "--organization-slug","YOUR_ORGANIZATION_SLUG"] } }
"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"] } } ],
"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"] } },
"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" } } },
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
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
- https://github.com/modelcontextprotocol/servers/tree/main/src/sentr
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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