Agent Toolbox
@Vincentwei1021
About Agent Toolbox
No overview available yet
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"agent-toolbox": {
"command": "node",
"args": [
"/path/to/agent-toolbox/dist/mcp-server.js"
],
"env": {}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Agent Toolbox?
Agent Toolbox is an MCP server and API that provides 13 production-ready tools for AI agents, such as web search, weather, finance, translation, and PDF extraction. It requires a single API key instead of multiple provider keys, and offers consistent JSON responses and built-in rate limiting. It is for developers building agents that need to interact with the real world.
How to use Agent Toolbox?
Get a free API key via a curl request, then send HTTP POST requests to the API endpoints (e.g., /v1/search) with Bearer auth. For MCP support, install the npm package agent-toolbox-mcp and add it to your MCP client configuration (e.g., Claude Desktop, Cursor, or Windsurf). Python SDKs for LangChain and LlamaIndex are also available.
Key features of Agent Toolbox
- 13 endpoints covering search, weather, finance, translation, and more.
- Single API key with unified Bearer authentication.
- Smart LRU caching to reduce redundant calls.
- Built-in rate limiting per provider.
- Free tier with 1,000 calls per month, no credit card.
- Self‑hosting option via Docker or direct install.
Use cases of Agent Toolbox
- Building a research agent that automatically gathers web content and produces reports.
- Monitoring websites via DNS, screenshots, and content extraction.
- Enhancing a chatbot with real‑time weather, stock quotes, or news lookups.
- Validating and enriching user‑provided data (emails, domains, IP addresses).
FAQ from Agent Toolbox
What exactly does Agent Toolbox provide?
It is an MCP server and REST API bundling 13 tools (search, extract, screenshot, weather, finance, validate‑email, translate, geoip, news, whois, dns, pdf‑extract, qr) under one key.
How do I get started quickly?
Register via curl to obtain a free API key, then call any endpoint with a Bearer token. For MCP, install the npm package and add it to your client’s MCP servers config.
Are there any runtime dependencies?
The hosted API has no local dependencies beyond the ability to make HTTP requests. The MCP server requires Node.js. The Python SDKs (LangChain, LlamaIndex) require a Python environment with those libraries.
Where does my data live?
When using the hosted API, data is processed on the Agent Toolbox servers. Self‑hosting places all data on your own infrastructure.
What are the transport and authentication methods?
The server communicates via HTTP (REST) or the MCP protocol. Authentication uses a Bearer token in the Authorization header.
More AI & Agents MCP servers
Open Multi-Agent Canvas
CopilotKitThe open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research
mcp-hfspace MCP Server 🤗
evalstateMCP Server to Use HuggingFace spaces, easy configuration and Claude Desktop mode.
Gemini MCP Server
aliargunMCP server implementation for Google's Gemini API
欢迎来到 智言平台
Shy2593666979AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
Model Context Protocol for Unreal Engine
chongdashuEnable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).
Comments