Connect Squad to Claude Desktop and other MCP-compatible tools
The Model Context Protocol (MCP) lets you access Squad’s AI capabilities directly within Claude and other compatible applications. Query your product data and get strategic insights without leaving your workflow.
Ask Claude “show me every open opportunity linked to our ‘Improve retention’ goal” and get the live list back
“Create a solution for reducing onboarding drop-off and draft the PRD” – Claude calls create_solution, fills the doc, and drafts requirements for you
Claude can pull the full mission statement, knowledge-base docs and recent feedback on demand, so every reply is grounded in real product data
Bottom line: MCP turns Claude into an extension of Squad, giving PMs instant, conversational access to strategy artifacts while developers stay in sync with up-to-date requirements.
Squad’s remote MCP server provides 30+ tools across these categories:
Tool prefix
Purpose
Typical actions
opportunity_*
Discover and refine product opportunities
create, list, get, update
solution_*
Generate and iterate on solutions
create, list, get, update
goal_*
Track desired business or user goals
create, list, get, update
knowledge_*
Store useful references / research
create, list, get, delete
feedback_*
Manage raw customer feedback
create, list, get, delete
insight_*
Processed insights from feedback
create, list, get, delete
workspace_*
Manage Squad workspaces
get, update, list, select
All tools conform to the MCP JSON schema format so that agents can introspect inputs and outputs automatically. Authentication is handled via OAuth - you’ll sign in with your Squad account on first use.
These examples show how Claude can analyze your Squad data and provide actionable insights.
Strategy review
Prompt: “Can you review our current product strategy and identify gaps?”Example response:
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Based on your data:CURRENT STRATEGY:- Mission: "Make food delivery faster and more affordable"- Active goals: 3 (1 on track, 2 behind)- Opportunities in backlog: 12- Solutions in development: 4KEY GAPS IDENTIFIED:1. Delivery time goal is 7 minutes behind target - Root cause: Restaurant prep delays (8,234 mentions) - No active solution addressing this2. Low user retention (2.1 orders/week vs 3.0 target) - Missing lunch-time availability - Limited restaurant variety in suburbs3. Unaddressed opportunities: - Group ordering (3,892 requests, no solution) - Dietary filters (2,156 requests, no solution)RECOMMENDATIONS:1. Prioritize restaurant prep time optimization2. Expand lunch partnerships3. Add group ordering to Q3 roadmap
Feedback analysis
Prompt: “Analyze user feedback from the last 30 days and identify trends”Example response:
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FEEDBACK ANALYSIS (Last 30 days):Total feedback items: 4,827TOP THEMES:1. Delivery delays (1,243 mentions, ↑23% from previous) - "Food arrives cold" - "Waited over an hour" - Concentrated in downtown areas2. Payment issues (892 mentions, ↑45% from previous) - "Payment failed but still charged" - "Can't save payment method" - Spike started after latest app update3. Restaurant variety (634 mentions, →0% change) - "Same restaurants every time" - "No healthy options" - Consistent complaint, not growingEMERGING ISSUES:- App crashes on Android 14 (127 mentions, new)- Promo codes not applying (89 mentions, ↑200%)SENTIMENT TREND:- Overall: 3.8/5 (↓ from 4.1/5)- Critical driver: Payment failures
Roadmap planning
Prompt: “Based on our data, what should we build next quarter?”Example response:
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Q3 ROADMAP RECOMMENDATIONS:MUST DO (High impact, addresses critical issues):1. Fix payment processing bugs - Impact: 892 users affected monthly - Effort: 1 sprint - Reduces churn by ~15%2. Restaurant prep time prediction - Impact: 7-minute delivery reduction - Effort: 3 sprints - Addresses top complaintDO NEXT (High value, strategic):3. Group ordering - Impact: $45 AOV increase - Effort: 2 sprints - 3,892 requests4. Lunch partnerships - Impact: +0.8 orders/week/user - Effort: 2 sprints - Unlocks new daypartCONSIDER (Nice to have):5. Dietary filters6. Advanced routing v37. Loyalty program expansion
These examples show real interactions with the Squad MCP server, including which tools get called and what data is returned.
Example 1: Discover product opportunities
User Prompt:
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"What opportunities are in my Squad workspace? Show me the top 3."
What happens:
Claude calls list_opportunities to retrieve all opportunities
Analyzes and presents the top opportunities based on status and priority
Example output:
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Your Squad workspace has 5 opportunities. Here are the top 3:1. **Advanced AI Agent Customization Engine** (New) - Build customizable AI agent behaviors and predictive prioritization capabilities for enterprise workflows - Status: New, with solutions already generated2. **Enterprise CRM Integration Ecosystem** (New) - Enable seamless integration with major CRM platforms3. **Regulatory Compliance Automation Suite** (New) - Automate compliance workflows for regulated industries
"Show me the solutions for the AI Agent Customization opportunity,including which goals it supports."
What happens:
Claude calls get_opportunity with the opportunity ID
Requests relationships: solutions, outcomes (goals), and insights
Parses the detailed response including PRDs, pros/cons, and goal alignments
Example output:
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The **Advanced AI Agent Customization Engine** opportunity has 3 solutions:**Solution 1: Workflow Designer**- Visual interface for customizing AI agent decision-making processes- Pros: Enables enterprise customization without technical expertise, adapts to diverse methodologies (SAFe, Scrum)- Cons: Complex interface may extend time-to-market**Related Goals:**1. Accelerate Market Penetration in Enterprise Segment (Priority: 5/5)2. Strengthen Product Differentiation Through AI Innovation (Priority: 5/5)
Tools called:get_opportunity with relationships
Example 3: Understanding strategic alignment (OST view)
User Prompt:
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"Show me my top business goals and which opportunities support them."
What happens:
Claude calls list_goals to get all workspace outcomes
For high-priority goals, calls get_goal with relationships
Constructs a hierarchy showing goal → opportunities → solutions
Example output:
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**Goal 1: Accelerate Market Penetration** ⭐ Priority 5/5├─ Opportunity: Advanced AI Agent Customization Engine│ ├─ Solution: Workflow Designer│ ├─ Solution: Methodology Templates│ └─ Solution: Impact Predictor├─ Opportunity: Enterprise Multi-Knowledge Base Platform└─ Opportunity: Regulatory Compliance Automation Suite**Key Insight:** The "Advanced AI Agent Customization Engine"opportunity supports BOTH of your top-priority goals.
Tools called:list_goals, get_goal with relationships
This demonstrates the core Opportunity Solution Tree (OST) methodology -
showing how solutions ladder up to opportunities and ultimately to goals.
Example 4: Search for specific topics
User Prompt:
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"Find everything in my workspace related to 'compliance' or 'regulatory'."
What happens:
Claude calls similarity_search with the query terms
Squad’s vector search finds semantically similar content
Results ranked by relevance across all entity types
Example output:
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Found 8 items related to compliance/regulatory:**Opportunities:**- Regulatory Compliance Automation Suite**Solutions:**- Methodology Templates - Healthcare compliance features- Workflow Designer - Compliance guardrails**Knowledge Documents:**- SOC 2 Requirements Overview- GDPR Data Residency Guidelines
Tools called:similarity_search
Example 5: Generate new solutions with AI
User Prompt:
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"The 'AI Agent Customization' opportunity looks interesting.Can you generate some fresh solution ideas for it?"
What happens:
Claude calls generate_solutions with the opportunity ID
Squad’s AI Ideation agent analyzes opportunity context
Generates 3-5 new solution approaches with PRDs, pros/cons
Example output:
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✨ Generating solutions for "Advanced AI Agent Customization Engine"...Squad's Ideation agent is analyzing:- Opportunity context and supporting insights- Workspace knowledge base and industry trends- Related outcomes and success criteria✅ Complete! 3 new solutions have been added with:- Detailed descriptions and rationale- Pros and cons for each approach- Preliminary PRD with requirements- Alignment to your strategic goals
Tools called:generate_solutions, optionally get_opportunity to show results
"Compare our user retention to industry benchmarks and suggest improvements based on what's working for competitors""Generate a board presentation covering our Q2 performance, Q3 roadmap, and key risks to address""Analyze which features correlate with highest user LTV and recommend where to double down"
