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Multi-Agent Squad Integrations Guide

Overview

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.

🔌 Integration Categories

1. Communication Tools

Slack

  • Features: Real-time notifications, daily summaries, thread discussions
  • Use Cases: Build status, PR reviews, standup reminders, error alerts
  • Setup: python scripts/slack-integration.py

Microsoft Teams

  • Features: Channel notifications, adaptive cards, meeting reminders
  • Use Cases: Sprint updates, deployment notifications, team announcements
  • Setup: python scripts/integration-setup.py → Teams

Discord

  • Features: Webhook notifications, embeds, voice channel integration
  • Use Cases: Community projects, open source collaboration
  • Setup: python scripts/integration-setup.py → Discord

Email

  • Features: HTML/plain text emails, daily digests, immediate alerts
  • Use Cases: Weekly reports, critical alerts, stakeholder updates
  • Setup: python scripts/email-integration.py

2. Project Management

GitHub Issues & Projects

  • Features: Issue creation, PR management, project boards, milestones
  • Use Cases: Open source projects, GitHub-centric workflows
  • Setup: Built-in with gh CLI or python scripts/github-integration.py

Jira

  • Features: Sprint management, epic tracking, story creation, burndown
  • Use Cases: Enterprise agile teams, Scrum/Kanban boards
  • Setup: python scripts/integration-setup.py → Jira

Linear

  • Features: Modern issue tracking, cycles, projects, roadmaps
  • Use Cases: Fast-moving product teams, streamlined workflows
  • MCP Server: Available for enhanced integration

Azure DevOps

  • Features: Boards, repos, pipelines, test plans, artifacts
  • Use Cases: Microsoft-stack teams, enterprise environments

ClickUp, Monday.com, Asana

  • Features: Visual project management, custom workflows
  • Use Cases: Cross-functional teams, marketing projects

3. Documentation

Confluence

  • Features: Page creation, templates, search, space management
  • Use Cases: Team wikis, technical documentation, meeting notes
  • MCP Server: Read/write capabilities

Notion

  • Features: Databases, pages, blocks, rich content
  • Use Cases: Knowledge base, project wikis, team handbooks
  • MCP Server: Full API access

GitHub/GitLab Wiki

  • Features: Markdown pages, version control, search
  • Use Cases: Repository documentation, API guides

4. CI/CD & DevOps

GitHub Actions

  • Features: Workflow automation, matrix builds, secrets management
  • Use Cases: CI/CD pipelines, automated testing, releases
  • Setup: Templates created automatically

Jenkins

  • Features: Pipeline as code, plugins, distributed builds
  • Use Cases: Complex build pipelines, legacy systems

GitLab CI/CD

  • Features: Built-in CI/CD, GitLab runners, environments
  • Use Cases: GitLab-hosted projects, DevSecOps

CircleCI

  • Features: Docker support, parallelism, orbs
  • Use Cases: Fast builds, container-based workflows

5. Monitoring & Observability

Sentry

  • Features: Error tracking, performance monitoring, release tracking
  • Use Cases: Production error monitoring, performance issues
  • Setup: DSN configuration

Datadog

  • Features: APM, logs, metrics, dashboards, alerts
  • Use Cases: Full-stack monitoring, SRE teams
  • MCP Server: Query metrics and logs

Prometheus + Grafana

  • Features: Time-series metrics, alerting, visualization
  • Use Cases: Kubernetes monitoring, custom metrics

New Relic

  • Features: APM, infrastructure, browser monitoring
  • Use Cases: Application performance, user experience

6. Testing & Quality

BrowserStack

  • Features: Cross-browser testing, real devices, automation
  • Use Cases: E2E testing, responsive design verification

SonarQube

  • Features: Code quality, security analysis, technical debt
  • Use Cases: Code reviews, quality gates

Cypress Dashboard

  • Features: Test recordings, parallelization, analytics
  • Use Cases: E2E test management, debugging

7. Time Tracking

Toggl Track

  • Features: Time tracking, reports, project budgets
  • Use Cases: Billable hours, productivity tracking

Harvest

  • Features: Time & expense tracking, invoicing, reports
  • Use Cases: Agencies, consultants

Clockify

  • Features: Free time tracking, timesheets, reports
  • Use Cases: Small teams, personal productivity

🤖 MCP (Model Context Protocol) Servers

MCP servers extend Claude's capabilities with direct access to external services:

Available MCP Servers

Core Servers

  • Memory: Persistent context across sessions
  • Filesystem: Advanced file operations with permissions
  • GitHub: Deep GitHub integration beyond CLI

Development Servers

  • PostgreSQL: Direct database queries and exploration
  • Test Runner: Execute and monitor test suites
  • Docker: Container and image management
  • Kubernetes: Deployment and pod management

Communication Servers

  • Slack: Read channels, send messages, manage threads
  • Linear: Full issue and project management

Analytics Servers

  • Project Analytics: Custom metrics and insights
  • Monitoring: Access to logs and metrics

Setting Up MCP Servers

# 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 check

MCP Configuration

MCP servers are configured in .vscode/mcp.json:

{
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_TOKEN}"
      }
    }
  }
}

🔧 Setting Up Integrations

Quick Setup

# 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 needs

Manual Integration

Each integration can also be configured manually:

  1. Slack: Create webhook URL at api.slack.com/apps
  2. GitHub: Generate personal access token with appropriate scopes
  3. Jira: Create API token in Atlassian account settings
  4. Email: Use app passwords for Gmail, API keys for services

🔐 Security Best Practices

Credential Management

  • Store credentials in .env.* files (auto-gitignored)
  • Use environment variables for sensitive data
  • Never commit tokens or passwords

Permission Scoping

  • Grant minimal required permissions
  • Use read-only access where possible
  • Regularly rotate credentials

MCP Server Security

  • Only use trusted MCP servers
  • Be cautious with servers that access the internet
  • Review server permissions before installation

📊 Integration Use Cases

For Agile Teams

  1. Sprint Management: Jira + Slack + Confluence
  2. Daily Standups: Slack reminders + GitHub activity
  3. Release Process: GitHub Actions + Sentry + Slack notifications

For Open Source Projects

  1. Community: GitHub Issues + Discord + Documentation
  2. Contributions: PR automation + CI/CD + Code quality
  3. Releases: Automated changelogs + GitHub releases

For Enterprise Teams

  1. Compliance: Azure DevOps + SonarQube + Confluence
  2. Monitoring: Datadog + Sentry + PagerDuty
  3. Reporting: Jira + Email digests + Analytics

🚀 Advanced Features

Webhook Automation

Create custom webhooks for any service:

python scripts/integration-setup.py
# Select 'webhook' option

Custom MCP Servers

Create your own MCP servers for proprietary tools:

# Template created in scripts/mcp-servers/
python scripts/mcp-server-setup.py

Integration Chaining

Combine multiple integrations for powerful workflows:

  • GitHub PR → Slack notification → Jira update
  • Test failure → Sentry alert → Email to team
  • Deploy success → Update docs → Notify stakeholders

📚 Additional Resources

🆘 Troubleshooting

Common Issues

  1. Integration not working: Check credentials and permissions
  2. MCP server errors: Verify environment variables are set
  3. Webhook failures: Test webhook URL manually
  4. Rate limits: Implement backoff strategies

Getting Help

  • 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!