Agentdb

AgentDB

Fresh RAG context for AI agents — updated Mon/Wed/Fri.

AgentDB is a curated knowledge base your agent queries at inference time. 40 sources — AI/tech, startups, alternative markets, and emerging economies — scraped, AI-summarised, and structured into agent-ready JSON.

Connect it to Claude Desktop, Cursor, or any MCP-compatible agent in under 2 minutes.

Website · Request access

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Why AgentDB

Agents need current information at inference time, but raw sources are expensive context. A podcast transcript is ~2,400 tokens; the AgentDB version of the same item is ~160 tokens — a structured summary with key points, tags, and a confidence score. Same signal, ~15× less context.

{
  "title": "DeepSeek v4 and the limits of scaling",
  "content_type": "article",
  "summary": "DeepSeek's mixture-of-experts approach cuts inference cost...",
  "body": {
    "source_name": "Ars Technica",
    "key_points": [
      "MoE reduces active parameters by 4× at inference",
      "Outperforms GPT-4o on coding benchmarks",
      "Open weights released under MIT licence"
    ]
  },
  "tags": ["ai", "llm", "open-source"],
  "confidence": 0.93,
  "published_at": "2026-05-26T07:00:00Z"
}

How it works

GitHub Actions (Mon/Wed/Fri 07:00 UTC)
    ↓
scraper/run.py — fetches RSS/HTML from 40 sources
    ↓
scraper/summariser.py — DeepSeek Flash → structured JSON
    ↓
scraper/ingest.py — writes to Supabase via PostgREST
    ↓
mcp/server.py — exposes knowledge as MCP tools

Stack: Python · GitHub Actions · DeepSeek Flash · Supabase (pgvector) · Cloudflare Pages

Cost to run: ~£2–3/month (DeepSeek API calls only — everything else is free tier).

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MCP server (Claude Desktop / Cursor / Claude Code)

The AgentDB MCP server gives your agent two tools: get_latest_knowledge and search_knowledge.

Prerequisites

Install uv — it handles Python automatically:

curl -LsSf https://astral.sh/uv/install.sh | sh

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "agentdb": {
      "command": "uv",
      "args": ["run", "/absolute/path/to/agentdb/mcp/server.py"],
      "env": {
        "AGENTDB_SUPABASE_URL": "your-supabase-url",
        "AGENTDB_API_KEY": "your-api-key"
      }
    }
  }
}

Claude Code (global — all sessions)

Add to ~/.claude.json:

{
  "mcpServers": {
    "agentdb": {
      "type": "stdio",
      "command": "uv",
      "args": ["run", "/absolute/path/to/agentdb/mcp/server.py"],
      "env": {
        "AGENTDB_SUPABASE_URL": "your-supabase-url",
        "AGENTDB_API_KEY": "your-api-key"
      }
    }
  }
}

Claude Code (project-level)

Add .mcp.json to your project root:

{
  "mcpServers": {
    "agentdb": {
      "type": "stdio",
      "command": "uv",
      "args": ["run", "/absolute/path/to/agentdb/mcp/server.py"],
      "env": {
        "AGENTDB_SUPABASE_URL": "your-supabase-url",
        "AGENTDB_API_KEY": "your-api-key"
      }
    }
  }
}

Test it manually

AGENTDB_SUPABASE_URL=https://xxxx.supabase.co \
AGENTDB_API_KEY=your-key \
uv run mcp/server.py

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Available tools

get_latest_knowledge

Fetch the most recent items, optionally filtered by tag or content type.

Parameters:
  limit         int     Items to return (1–50, default 10)
  tags          string  Comma-separated tag filter, e.g. "ai,startups"
  content_type  string  article | video | research | data

search_knowledge

Search titles and summaries by keyword.

Parameters:
  query   string  Keyword or phrase (required)
  limit   int     Results to return (1–20, default 5)

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Sources

40 sources · updated Mon/Wed/Fri at 07:00 UTC · no paywalls, no wire services.

Category	Sources
Technology / AI	Lex Fridman Podcast, Dwarkesh Podcast, Hard Fork, This Week in Tech, ChinaTalk, Ars Technica, Import AI, TLDR Tech, 404 Media, Wired, arXiv AI
Startups / VC	Acquired, How I Built This, Y Combinator Blog, Y Combinator (YouTube), TechCrunch, The Verge, Entrepreneur, The Generalist, Parsers VC
Markets / Macro	All-In Podcast, Prof G Markets, Zero Hedge, Calculated Risk, Econbrowser, A Wealth of Common Sense, The Big Picture, The Daily Upside, Asymco, Noahpinion
Emerging Markets	Rest of World, TechCabal, Techpoint Africa, Disrupt Africa, Mint (India), Asia Times, The Hindu Business Line
Policy / Regulation	Politico Europe, arXiv Policy

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Pricing

Plan	Price	Requests
Trial	Free — 14 days	100 / day
Basic	£29 / month	1,000 / day
Pro	£79 / month	Unlimited + custom sources

Request access →

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Repo structure

mcp/
  server.py           # MCP server — connect to Claude Desktop / Cursor
scraper/
  run.py              # Orchestrator — called by GitHub Actions
  sources.py          # 40 source definitions (RSS URLs, categories)
  scraper.py          # HTTP fetch + HTML parsing
  summariser.py       # DeepSeek Flash summarisation
  ingest.py           # Supabase PostgREST write
  keepalive.py        # Keeps Supabase free tier active
db/
  migrations/
    001_create_knowledge_table.sql
    002_read_policy.sql
.github/
  workflows/
    scraper.yml       # Mon/Wed/Fri scrape cron
    keepalive.yml     # Every 6h Supabase ping
index.html            # Website (agentdb.pages.dev)

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Self-hosting

Clone the repo and set up GitHub Actions secrets:

DEEPSEEK_API_KEY       — DeepSeek API key (api.deepseek.com)
SUPABASE_URL           — Supabase project URL
SUPABASE_SERVICE_KEY   — Supabase service role key (for writes)
AGENTDB_DATABASE_URL   — Supabase direct DB URL (for keepalive)
RESEND_API_KEY         — Resend API key (for run reports)
REPORT_EMAIL           — Email to send scraper reports to

Run the SQL migrations in Supabase → SQL Editor:

• db/migrations/001_create_knowledge_table.sql
• db/migrations/002_read_policy.sql

Enable Row Level Security on the knowledge table, then trigger a manual run from GitHub Actions → AgentDB Scraper → Run workflow.

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Author

Built by Kevin Stephenson — product engineer working on agent infrastructure in London.

agentdb.pages.dev · [email protected]

MIT licensed.