MCP server for the incident management platform Rootly.
An MCP server for Rootly API that you can plug into your favorite MCP-compatible editors like Cursor, Windsurf, and Claude. Resolve production incidents in under a minute without leaving your IDE.
uv
package manager
curl -LsSf https://astral.sh/uv/install.sh | sh
Install with our PyPi package or by cloning this repo.
To set it up in your favorite MCP-compatible editor (we tested it with Cursor and Windsurf), here is the config :
{
"mcpServers": {
"rootly": {
"command": "uvx",
"args": ["--from", "rootly-mcp-server", "rootly-mcp-server"],
"env": {
"ROOTLY_API_TOKEN": "<YOUR_ROOTLY_API_TOKEN>"
}
}
}
}
If you want to customize allowed_paths
to access more Rootly API paths, clone the package and use this config.
{
"mcpServers": {
"rootly": {
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/rootly-mcp-server",
"rootly-mcp-server"
],
"env": {
"ROOTLY_API_TOKEN": "<YOUR_ROOTLY_API_TOKEN>"
}
}
}
}
This server dynamically generates MCP resources based on Rootly's OpenAPI (Swagger) specification:
By default, the following Rootly API endpoints are exposed to the AI agent (see allowed_paths
in src/rootly_mcp_server/server.py
):
/v1/incidents
/v1/incidents/{incident_id}/alerts
/v1/alerts
/v1/alerts/{alert_id}
/v1/severities
/v1/severities/{severity_id}
/v1/teams
/v1/teams/{team_id}
/v1/services
/v1/services/{service_id}
/v1/functionalities
/v1/functionalities/{functionality_id}
/v1/incident_types
/v1/incident_types/{incident_type_id}
/v1/incident_action_items
/v1/incident_action_items/{incident_action_item_id}
/v1/incidents/{incident_id}/action_items
/v1/workflows
/v1/workflows/{workflow_id}
/v1/workflow_runs
/v1/workflow_runs/{workflow_run_id}
/v1/environments
/v1/environments/{environment_id}
/v1/users
/v1/users/{user_id}
/v1/users/me
/v1/status_pages
/v1/status_pages/{status_page_id}
We limited the number of API paths exposed for 2 reasons:
If you want to make more paths available, edit the variable allowed_paths
in src/rootly_mcp_server/server.py
.
This project was developed by the Rootly AI Labs. The AI Labs is building the future of system reliability and operational excellence. We operate as an open-source incubator, sharing ideas, experimenting, and rapidly prototyping. We're committed to ensuring our research benefits the entire community.
uv
This project uses uv
for fast dependency management. To install all dependencies from your pyproject.toml
:
uv pip install .
It is recommended to use a virtual environment for development:
uv venv .venv
source .venv/bin/activate
To run the test client and verify your setup:
python test_mcp_client.py
uv pip install <package>
to keep your environment up to date.You can configure your client to connect directly to our hosted MCP server:
{
"mcpServers": {
"rootly": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.rootly.com/sse",
"--header",
"Authorization:${ROOTLY_AUTH_HEADER}"
],
"env": {
"ROOTLY_AUTH_HEADER": "Bearer <YOUR_ROOTLY_API_TOKEN>"
}
}
}
}
Dynamic and reflective problem-solving through thought sequences
The only platform you need to get paid - all payments in one place, invoicing and accounting reconciliations with Adfin.
Marketing insights and audience analysis from Audiense reports, covering demographic, cultural, influencer, and content engagement analysis.
MCP server for the Computer-Use Agent (CUA), allowing you to run CUA through Claude Desktop or other MCP clients.
Interact with task, doc, and project data in Dart, an AI-native project management tool
Interact with EduBase, a comprehensive e-learning platform with advanced quizzing, exam management, and content organization capabilities
Contract and template management for drafting, reviewing, and sending binding contracts.
Perform queries and entity operations in your Fibery workspace.
Human-in-the-loop platform - Allow AI agents and automations to send requests for approval to your gotoHuman inbox.
Turn your Make scenarios into callable tools for AI assistants.