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Why Agent Toolbox?

Building AI agents that interact with the real world? You'd normally need:

Without Agent Toolbox	With Agent Toolbox
6+ API keys (Google, OpenWeatherMap, Yahoo Finance, ...)	1 API key
Different auth methods per service	Unified Bearer auth
Parse different response formats	Consistent JSON responses
Handle rate limits per provider	Built-in rate limiting
No caching, redundant calls	Smart LRU caching
Pay $50-200+/mo for APIs	Free tier: 1,000 calls/mo

Quick Start (30 seconds)

1. Get your free API key

curl -X POST https://api.toolboxlite.com/v1/auth/register \
  -H "Content-Type: application/json" \
  -d '{"email": "you@example.com"}'

2. Make your first call

curl -X POST https://api.toolboxlite.com/v1/search \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "best AI agent frameworks"}'

3. That's it! 🎉

No credit card. No setup. 13 endpoints ready to use.

13 Endpoints

Endpoint	Description	Cache
POST /v1/search	Web search via DuckDuckGo	5 min
POST /v1/extract	Extract content from any URL	5 min
POST /v1/screenshot	Capture webpage screenshots	1 hr
POST /v1/weather	Weather & forecast	15 min
POST /v1/finance	Stock quotes & exchange rates	15 min
POST /v1/validate-email	Email validation (MX + SMTP)	1 hr
POST /v1/translate	Translate 100+ languages	1 hr
POST /v1/geoip	IP geolocation lookup	1 hr
POST /v1/news	News article search	5 min
POST /v1/whois	Domain WHOIS lookup	1 hr
POST /v1/dns	DNS record queries	5 min
POST /v1/pdf-extract	Extract text from PDFs	1 hr
POST /v1/qr	Generate QR codes	24 hr

MCP Server

Use Agent Toolbox as an MCP server in Claude Desktop, Cursor, or Windsurf:

npm install -g agent-toolbox-mcp

Add to Claude Desktop config:

{
  "mcpServers": {
    "agent-toolbox": {
      "command": "agent-toolbox-mcp"
    }
  }
}

See MCP Quickstart Guide for full setup instructions.

SDK Integrations

Python — LangChain

pip install langchain-agent-toolbox

from langchain_agent_toolbox import AgentToolboxSearchTool

search = AgentToolboxSearchTool()
result = search.invoke({"query": "AI agents", "count": 3})

Python — LlamaIndex

pip install llamaindex-agent-toolbox

from llamaindex_agent_toolbox import AgentToolboxSearchTool

search = AgentToolboxSearchTool()
result = search.call(query="AI agents", count=3)

Examples

Example	Description
Research Agent	Auto-research any topic → markdown report
Website Monitor	Monitor sites with DNS + screenshots + content
MCP Quickstart	Claude Desktop / Cursor / Windsurf setup

Pricing

Plan	Price	Calls/month	Rate Limit
Free	$0	1,000	60/min
Pro	$29/mo	50,000	120/min
Scale	$99/mo	500,000	300/min

All plans include all 13 endpoints. No feature gating.

Self-Hosting

git clone https://github.com/Vincentwei1021/agent-toolbox.git
cd agent-toolbox
npm install && npm run build
cp .env.example .env  # Add your config
npm start

Or with Docker:

docker build -t agent-toolbox .
docker run -p 3100:3100 --env-file .env agent-toolbox

Used By

Building with Agent Toolbox? Open an issue to get listed here.

License

MIT © Vincentwei1021