mcpField
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Agent Toolbox

Agent Toolbox

Local
github.com/Vincentwei1021AI & Agents6Updated 33w ago

About Agent Toolbox

Agent Toolbox is an API and MCP server that gives AI agents access to web, location, finance, and other utility data through a unified interface. It is suited to agent builders who want a range of endpoints with consistent JSON responses, caching, and rate limiting.

Key features

  1. 0113 endpoints for search and data lookup
  2. 02URL and PDF content extraction
  3. 03Screenshots, weather, and finance data
  4. 04Email validation and translation
  5. 05Caching and rate limiting

Use cases

  1. 01Researching topics with web search and news
  2. 02Monitoring sites with DNS and screenshots
  3. 03Adding weather or finance lookups to an agent

MCP support

The `agent-toolbox-mcp` package makes the service available as an MCP server for clients such as Claude Desktop, Cursor, and Windsurf.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

⚡ Agent Toolbox

13 production-ready tools for AI agents — one API key, zero complexity.

npm PyPI License Endpoints Glama

Docs · Playground · OpenAPI Spec · npm


Why Agent Toolbox?

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

Without Agent ToolboxWith Agent Toolbox
6+ API keys (Google, OpenWeatherMap, Yahoo Finance, ...)1 API key
Different auth methods per serviceUnified Bearer auth
Parse different response formatsConsistent JSON responses
Handle rate limits per providerBuilt-in rate limiting
No caching, redundant callsSmart LRU caching
Pay $50-200+/mo for APIsFree 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": "[email protected]"}'
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

EndpointDescriptionCache
POST /v1/searchWeb search via DuckDuckGo5 min
POST /v1/extractExtract content from any URL5 min
POST /v1/screenshotCapture webpage screenshots1 hr
POST /v1/weatherWeather & forecast15 min
POST /v1/financeStock quotes & exchange rates15 min
POST /v1/validate-emailEmail validation (MX + SMTP)1 hr
POST /v1/translateTranslate 100+ languages1 hr
POST /v1/geoipIP geolocation lookup1 hr
POST /v1/newsNews article search5 min
POST /v1/whoisDomain WHOIS lookup1 hr
POST /v1/dnsDNS record queries5 min
POST /v1/pdf-extractExtract text from PDFs1 hr
POST /v1/qrGenerate QR codes24 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

ExampleDescription
Research AgentAuto-research any topic → markdown report
Website MonitorMonitor sites with DNS + screenshots + content
MCP QuickstartClaude Desktop / Cursor / Windsurf setup

Pricing

PlanPriceCalls/monthRate Limit
Free$01,00060/min
Pro$29/mo50,000120/min
Scale$99/mo500,000300/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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.