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TL;DR

The AI Agent Builder Stack is 6 MCPs (Tavily, Perplexity, Firecrawl, Supabase, Redis, GitHub) that cover search, scraping, memory, and caching for any production AI agent. One install replaces a DIY infra stack that would take 2 weeks to build. Free to mid-scale; you only pay for API calls at the underlying services.

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Stack · 6 MCPs

The AI Agent Builder Stack

Search, scrape, memory, and cache — the infrastructure every agent needs

Install the whole stack

$ mcpizy install tavily perplexity firecrawl supabase redis github

One command installs and configures all 6 MCPs for Claude Code, Cursor, Windsurf, or any MCP-compatible client.

Why this stack?

Every production AI agent needs four primitives: real-time web data (Tavily + Perplexity), deep content extraction (Firecrawl), persistent memory (Supabase + pgvector), and fast caching (Redis). Without these, you're rebuilding the wheel — with them, your agent is production-grade on day one.

Why this specific combo: Tavily is fast and cheap for breadth, Perplexity is the gold standard for depth with citations, Firecrawl is the best open-source scraper, Supabase's pgvector gives you a free vector DB up to 500MB, and Redis is the standard for tool-level caching. Six MCPs replace a stack that would otherwise cost $500–2000/mo in SaaS (Pinecone + Serper + Apify + Upstash).

MCPs in this stack (6)

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Tavily

LLM-tuned web search

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Perplexity

Deep research with citations

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🔥

Firecrawl

Web scraping & markdown extraction

View
🟢

Supabase

pgvector memory + structured store

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Redis

Tool result cache & ephemeral memory

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GitHub

Code access for coding agents

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What this stack lets you do

Research agent that monitors 50 blogs weekly

See recipe
  1. 1Firecrawl crawls each blog on a cron
  2. 2New posts embedded via Supabase pgvector
  3. 3Tavily queries across embedded corpus semantically
  4. 4Redis caches last 100 queries (24h TTL)
  5. 5Agent summarises weekly digest, posts to Slack

Deep-research agent with citations

See recipe
  1. 1User asks a complex question
  2. 2Perplexity returns pre-summarised answer with citations
  3. 3Firecrawl pulls full text of top 3 cited sources
  4. 4Supabase stores the research for future reference
  5. 5Agent synthesises and returns with linked sources

Coding agent that reads and ships

  1. 1User asks 'fix bug in /api/checkout'
  2. 2GitHub MCP reads the file + recent commits
  3. 3Supabase pgvector finds similar past fixes
  4. 4Agent proposes + writes patch
  5. 5GitHub MCP opens PR, Redis caches the bug fingerprint

Estimated value

Replaces ~$800/mo of infra SaaS (Pinecone starter, Apify, Serper, Upstash) for a mid-scale agent. Cold-start savings: ~2 weeks of engineering time not spent on custom infra.

Frequently asked questions

Do I really need both Tavily and Perplexity?

For most agents, yes. Tavily is cheap and fast for broad search (30 results in 2s, $5/1000 queries). Perplexity is premium — pre-summarised answers with citations (better for final-answer quality). Use Tavily for ideation/breadth, Perplexity for commitment/depth.

Why Supabase over Pinecone for vector storage?

Cost. Supabase (pgvector) is free up to 500MB and ~$25/mo up to 8GB. Pinecone starts at $70/mo for comparable capacity. Unless you need <10ms p99 at 100M+ vectors, Supabase wins on price.

Can I skip Redis if I'm already using Supabase?

Short answer: yes. Long answer: Redis is much cheaper for ephemeral cache (TTL-bounded, no schema). Use Supabase for durable state, Redis for 'I called Tavily 5 min ago, use that'. The two-tier pattern saves ~40% on API bills.

Is this stack suitable for multi-agent systems?

Yes — each agent gets a subset of these MCPs. A 'researcher' agent gets Tavily+Firecrawl+Supabase; a 'writer' agent gets Supabase+GitHub. They coordinate via shared Supabase tables or Redis pub/sub.

What's the simplest subset to start with?

Tavily + Supabase + GitHub. Three MCPs, ~10 minutes to install, covers 70% of agent use cases (search, memory, code). Add Firecrawl when you hit 'I need structured content from a site', add Perplexity when you need citations, add Redis when the API bill starts hurting.

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Install this stack

$ mcpizy install tavily perplexity firecrawl supabase redis github

🔍Tavily🔮Perplexity🔥Firecrawl🟢Supabase
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