Which integrations are available for this server?

Provides tools to track GitHub Copilot usage metrics and adoption trends across the organization. Retrieves recent incidents from Opsgenie, providing data on incident severity and Mean Time To Recovery (MTTR). Retrieves recent incidents from PagerDuty, providing data on incident severity and Mean Time To Recovery (MTTR).

Koalr

Official

by koalr

Overview Schema Related Servers Score Discussions

Remote

koalr-mcp

Koalr MCP server — connect your engineering metrics, deploy risk scoring, and DORA performance data to Claude, Cursor, Windsurf, and any MCP-compatible AI assistant.

npm version

Quick Start

Generate an API Key

Go to app.koalr.com/settings/api-keys
Create a new API key with the scopes you need
Copy the key (shown once) — it starts with koalr_

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "koalr": {
      "command": "npx",
      "args": ["-y", "koalr-mcp@latest"],
      "env": {
        "KOALR_API_KEY": "koalr_your_key_here"
      }
    }
  }
}

Cursor

Add to your Cursor MCP settings (~/.cursor/mcp.json):

{
  "mcpServers": {
    "koalr": {
      "command": "npx",
      "args": ["-y", "koalr-mcp@latest"],
      "env": {
        "KOALR_API_KEY": "koalr_your_key_here"
      }
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "koalr": {
      "command": "npx",
      "args": ["-y", "koalr-mcp@latest"],
      "env": {
        "KOALR_API_KEY": "koalr_your_key_here"
      }
    }
  }
}

Claude Code (CLI)

claude mcp add koalr \
  -e KOALR_API_KEY=koalr_your_key_here \
  -- npx -y koalr-mcp@latest

Related MCP server: Tesults MCP

Environment Variables

Variable	Description	Default
`KOALR_API_KEY`	Your Koalr API key (required). Starts with `koalr_`.	—
`KOALR_API_URL`	Koalr API base URL (for self-hosted or local dev)	`http://localhost:3001`
`MCP_TRANSPORT`	Transport mode: `stdio` (default) or `http`	`stdio`
`PORT`	Port for HTTP transport mode	`3010`

Available Tools

Deploy Risk

Tool	Description
`score_pr_for_deploy_risk`	Score a pull request 0–100 using 36 research-validated signals

Organization

Tool	Description
`get_org_health`	Comprehensive org health: DORA tier, cycle time, teams, incidents
`get_well_being_summary`	Developer well-being: focus time, meeting load, burnout signals

DORA Metrics

Tool	Description
`get_dora_summary`	Deploy frequency, lead time, change failure rate, MTTR
`get_dora_trend`	Weekly trend for any DORA metric

Pull Requests

Tool	Description
`get_pr_summary`	Cycle time, throughput, review health metrics
`get_open_prs`	Currently open PRs with age and risk indicators
`get_at_risk_prs`	PRs at risk of being long-running or blocked

Teams

Tool	Description
`list_teams`	All teams with IDs and member counts
`get_team`	Team-level DORA and flow metrics
`list_team_members`	Team roster with GitHub logins

Repositories

Tool	Description
`list_repositories`	All repos with health scores
`get_repository`	Repo metrics: deployment frequency, cycle time, contributors

Developers

Tool	Description
`get_developer`	Individual developer metrics and recent activity
`list_top_contributors`	Most active contributors by commits and PRs

Search

Tool	Description
`search`	Search developers, repos, PRs, and teams by name

Coverage

Tool	Description
`get_coverage_summary`	Test coverage by repository with trend

Incidents

Tool	Description
`list_recent_incidents`	Recent incidents from PagerDuty/OpsGenie with MTTR

AI Adoption

Tool	Description
`get_ai_adoption_summary`	GitHub Copilot and Cursor usage metrics
`get_ai_adoption_trend`	AI tool adoption trend over time

Example Prompts

Once connected, you can ask your AI agent things like:

"What is our team's DORA performance tier this month?"
"Show me all PRs that have been open for more than 3 days"
"Which developers have the highest PR throughput on the backend team?"
"How is our AI coding tool adoption trending?"
"What was our MTTR for incidents last quarter?"
"Find the auth-service repository and show me its deployment frequency"

HTTP Transport (Remote Hosting)

For hosting the MCP server remotely (e.g., at mcp.koalr.com):

MCP_TRANSPORT=http PORT=3010 KOALR_API_KEY=koalr_... node dist/index.js

The server exposes POST /mcp and GET /mcp endpoints following the MCP Streamable HTTP transport spec.

Local Development

# From repo root
pnpm install
pnpm exec turbo build --filter=koalr-mcp

# Run in stdio mode (test with MCP Inspector)
KOALR_API_KEY=koalr_... node apps/mcp/dist/index.js

# Run in HTTP mode
MCP_TRANSPORT=http KOALR_API_KEY=koalr_... node apps/mcp/dist/index.js

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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