Package intelligence for AI agents
Give your coding assistants, agentic workflows, and automated pipelines access to crowdsourced recommendations from 6,000+ real projects.
Works in 30 seconds. Free tier included.
One API key works everywhere
Works with any MCP-compatible client, agent, or automated workflow. View setup guides →
Works with your favorite frameworks
And 11 ecosystems: npm, PyPI, RubyGems, Cargo, Go, and more.
What you get
Package intelligence that lives inside your AI agents and workflows. No context switching. No dashboard tab-hopping.
Crowdsourced Recommendations
Ask "What do real Next.js projects use for auth?" and get adoption percentages from actual codebases — not opinions.
Security & Health Filtering
Vulnerable and deprecated packages are automatically filtered from recommendations. You see what is safe to ship.
AGI Safety Metadata
Every recommendation includes reasoning, confidence levels, and data sources. No black box — verify everything.
Framework-Aware Context
Recommendations are partitioned by framework. Next.js projects get Next.js patterns — not Django suggestions.
Real Adoption Data
See what percentage of similar projects use each package. Migration trends show when the ecosystem is moving.
19 MCP Tools
Search packages, get alternatives, compare options, check security, analyze your stack — all from your AI assistant.
Your agents are making package decisions. Without you.
When a human uses Cursor, they can sanity-check a suggestion. When an autonomous agent adds dependencies at 3am, there's no review. Every decision needs to be a good one.
Without package intelligence
Agent installs package with 12 CVEs
→ Security breach in production
Agent picks abandoned library
→ Tech debt compounds for months
Agent chooses deprecated API
→ Breaking changes on next deploy
With PatternStack
CVE blocking
Agents automatically avoid packages with known vulnerabilities
Crowdsourced patterns
Recommendations based on what 6,000+ real projects actually use
Framework-aware context
Next.js agents get Next.js patterns, not Django suggestions
19 MCP tools your agents can call to make informed decisions — search, compare, check security, get recommendations.
Quick setup
Connect your AI assistant to PatternStack in under a minute.
Claude Code
One command. Done in 30 seconds.
Cursor / Windsurf
Add to your MCP config file.
{
"mcpServers": {
"patternstack": {
"command": "npx",
"args": ["-y", "@patternstack-ai/mcp"],
"env": { "PATTERNSTACK_API_KEY": "your-key" }
}
}
}Get your API key from the dashboard.
Just want to explore? Browse framework trends and package stats without connecting an AI tool.
Explore DashboardWhy Your AI Needs PatternStack
AI models are trained on package data that's months or years old. PatternStack provides live intelligence from production.
Without PatternStack
- Suggests moment.js (deprecated, 287kb)
- Recommends request (deprecated since 2020)
- No awareness of CVEs or security issues
- Generic suggestions regardless of framework
With PatternStack
- Suggests date-fns (maintained, tree-shakeable)
- Knows what Next.js 16 projects actually use
- Blocks vulnerable packages automatically
- Framework-specific recommendations
Live Traffic
Real-time data from production projects, not stale training data
Security Aware
CVE blocking with _agi.action metadata for autonomous decisions
Framework Specific
Recommendations partitioned by framework context
AGI Ready
Built for autonomous agents with safety metadata on every response
GitHub MCP manages repos. PatternStack MCP manages packages. Use both.
Your AI learned packages from 2 years ago.
Training data goes stale. Production codebases don't.
Your AI doesn't know:
- What packages are trending this month
- Which libraries Next.js 16 projects actually use
- What developers are migrating away from
So you end up with:
- Deprecated packages still recommended
- Outdated patterns from old tutorials
- Generic advice instead of framework-specific insights
Real patterns from real codebases — updated continuously.
See it in actionPackage intelligence from real codebases
See which packages successful projects actually use together — real patterns from 3,800+ GitHub repos, not documentation or npm download counts.
We analyze real projects
GitHub repos across Next.js, Django, Rails, and 11 ecosystems
Patterns extracted
Which packages appear together, framework-by-framework
You get tailored suggestions
Next.js users get Next.js patterns — no Django noise
Plus: we flag CVEs and deprecated packages so you don't ship known issues.
Frequently Asked Questions
Common questions about MCP integration, pricing, and privacy.
Run `claude mcp add patternstack` in your terminal. That's it — your AI assistant now has access to 19 MCP tools for package intelligence.
PatternStack provides 19 tools including stack.recommend, package.search, package.alternatives, security.check, and more. Each tool is framework-aware and returns crowdsourced data from real projects.
500 MCP requests per day, access to all 19 tools, CVE blocking, and framework-partitioned recommendations. Most individual developers never hit the limit.
Yes. MCP requests are authenticated, scoped to your account, and rate limited. We only access dependency metadata from your projects — never source code.
Every recommendation includes reasoning, confidence levels, and data sources. You can verify why a package was suggested — no black box AI decisions.
Get started in 30 seconds
One command connects your AI agents to crowdsourced package intelligence.
Free tier included • Works with any MCP-compatible agent