Multi-Agent Squad can integrate with numerous tools and services to create a seamless agile development workflow. This guide covers all available integrations and their capabilities.
- Features: Real-time notifications, daily summaries, thread discussions
- Use Cases: Build status, PR reviews, standup reminders, error alerts
- Setup:
python scripts/slack-integration.py
- Features: Channel notifications, adaptive cards, meeting reminders
- Use Cases: Sprint updates, deployment notifications, team announcements
- Setup:
python scripts/integration-setup.py→ Teams
- Features: Webhook notifications, embeds, voice channel integration
- Use Cases: Community projects, open source collaboration
- Setup:
python scripts/integration-setup.py→ Discord
- Features: HTML/plain text emails, daily digests, immediate alerts
- Use Cases: Weekly reports, critical alerts, stakeholder updates
- Setup:
python scripts/email-integration.py
- Features: Issue creation, PR management, project boards, milestones
- Use Cases: Open source projects, GitHub-centric workflows
- Setup: Built-in with
ghCLI orpython scripts/github-integration.py
- Features: Sprint management, epic tracking, story creation, burndown
- Use Cases: Enterprise agile teams, Scrum/Kanban boards
- Setup:
python scripts/integration-setup.py→ Jira
- Features: Modern issue tracking, cycles, projects, roadmaps
- Use Cases: Fast-moving product teams, streamlined workflows
- MCP Server: Available for enhanced integration
- Features: Boards, repos, pipelines, test plans, artifacts
- Use Cases: Microsoft-stack teams, enterprise environments
- Features: Visual project management, custom workflows
- Use Cases: Cross-functional teams, marketing projects
- Features: Page creation, templates, search, space management
- Use Cases: Team wikis, technical documentation, meeting notes
- MCP Server: Read/write capabilities
- Features: Databases, pages, blocks, rich content
- Use Cases: Knowledge base, project wikis, team handbooks
- MCP Server: Full API access
- Features: Markdown pages, version control, search
- Use Cases: Repository documentation, API guides
- Features: Workflow automation, matrix builds, secrets management
- Use Cases: CI/CD pipelines, automated testing, releases
- Setup: Templates created automatically
- Features: Pipeline as code, plugins, distributed builds
- Use Cases: Complex build pipelines, legacy systems
- Features: Built-in CI/CD, GitLab runners, environments
- Use Cases: GitLab-hosted projects, DevSecOps
- Features: Docker support, parallelism, orbs
- Use Cases: Fast builds, container-based workflows
- Features: Error tracking, performance monitoring, release tracking
- Use Cases: Production error monitoring, performance issues
- Setup: DSN configuration
- Features: APM, logs, metrics, dashboards, alerts
- Use Cases: Full-stack monitoring, SRE teams
- MCP Server: Query metrics and logs
- Features: Time-series metrics, alerting, visualization
- Use Cases: Kubernetes monitoring, custom metrics
- Features: APM, infrastructure, browser monitoring
- Use Cases: Application performance, user experience
- Features: Cross-browser testing, real devices, automation
- Use Cases: E2E testing, responsive design verification
- Features: Code quality, security analysis, technical debt
- Use Cases: Code reviews, quality gates
- Features: Test recordings, parallelization, analytics
- Use Cases: E2E test management, debugging
- Features: Time tracking, reports, project budgets
- Use Cases: Billable hours, productivity tracking
- Features: Time & expense tracking, invoicing, reports
- Use Cases: Agencies, consultants
- Features: Free time tracking, timesheets, reports
- Use Cases: Small teams, personal productivity
MCP servers extend Claude's capabilities with direct access to external services:
- Memory: Persistent context across sessions
- Filesystem: Advanced file operations with permissions
- GitHub: Deep GitHub integration beyond CLI
- PostgreSQL: Direct database queries and exploration
- Test Runner: Execute and monitor test suites
- Docker: Container and image management
- Kubernetes: Deployment and pod management
- Slack: Read channels, send messages, manage threads
- Linear: Full issue and project management
- Project Analytics: Custom metrics and insights
- Monitoring: Access to logs and metrics
# Interactive MCP setup
python scripts/mcp-server-setup.py
# List available servers
python scripts/mcp-server-setup.py list
# Check configured servers
python scripts/mcp-server-setup.py checkMCP servers are configured in .vscode/mcp.json:
{
"mcpServers": {
"github": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_TOKEN}"
}
}
}
}# Set up all recommended integrations
python scripts/integration-setup.py
# Select option 'e' for recommended setup
# Set up specific category
python scripts/agile-tools-setup.py
# Choose from categories like Project Management, Communication, etc.
# Set up MCP servers
python scripts/mcp-server-setup.py
# Interactive setup based on your project needsEach integration can also be configured manually:
- Slack: Create webhook URL at api.slack.com/apps
- GitHub: Generate personal access token with appropriate scopes
- Jira: Create API token in Atlassian account settings
- Email: Use app passwords for Gmail, API keys for services
- Store credentials in
.env.*files (auto-gitignored) - Use environment variables for sensitive data
- Never commit tokens or passwords
- Grant minimal required permissions
- Use read-only access where possible
- Regularly rotate credentials
- Only use trusted MCP servers
- Be cautious with servers that access the internet
- Review server permissions before installation
- Sprint Management: Jira + Slack + Confluence
- Daily Standups: Slack reminders + GitHub activity
- Release Process: GitHub Actions + Sentry + Slack notifications
- Community: GitHub Issues + Discord + Documentation
- Contributions: PR automation + CI/CD + Code quality
- Releases: Automated changelogs + GitHub releases
- Compliance: Azure DevOps + SonarQube + Confluence
- Monitoring: Datadog + Sentry + PagerDuty
- Reporting: Jira + Email digests + Analytics
Create custom webhooks for any service:
python scripts/integration-setup.py
# Select 'webhook' optionCreate your own MCP servers for proprietary tools:
# Template created in scripts/mcp-servers/
python scripts/mcp-server-setup.pyCombine multiple integrations for powerful workflows:
- GitHub PR → Slack notification → Jira update
- Test failure → Sentry alert → Email to team
- Deploy success → Update docs → Notify stakeholders
- MCP Documentation
- Claude Code Docs
- Integration-specific docs in each tool's website
- Integration not working: Check credentials and permissions
- MCP server errors: Verify environment variables are set
- Webhook failures: Test webhook URL manually
- Rate limits: Implement backoff strategies
- Check logs in
.claude/logs/ - Run integration tests:
python scripts/{integration}-integration.py test - Review configuration in
.claude/integrations/
Remember: All integrations are optional. Start with what your team uses most and add more as needed!