function init() { const tools = loadTools(); return new ToolRouter(tools); }

Build Powerful AI Agents
with Hosted Tools

ToolRouter provides a simple way to connect your AI models to real-world capabilities through our managed MCP servers.

What you can do with ToolRouter?

toolrouter - bash
user@toolrouter:~$
Processing request...
✓ Request understood
Step 1: Connecting to perplexity API...
✓ Connected to perplexity
Step 2: Searching for "events in San Francisco 2025"...
✓ Found 15 major events
Step 3: Formatting results for Slack...
✓ Created summary with top 5 events
Step 4: Connecting to Slack API...
✓ Connected to workspace
Step 5: Posting to #devs channel...
✓ Message posted successfully to #devs
Task completed! 🚀

Chat with MCPs

Experience the power of Model Context Protocol servers firsthand by using ToolRouter's integrated chat interface to interact with your configured MCP stacks and evaluate their performance in real-time.

Powerful MCP Servers

Our Model Context Protocol servers enable real-time interaction between AI models and external tools, creating agents that can search the web, access APIs, manipulate data, and execute complex workflows on your behalf.

Explore MCP Servers

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Connect with IDEs

Seamlessly integrate with popular development environments to enhance your coding workflow with AI capabilities.

Boost Your Productivity

Integrate ToolRouter directly into your favorite IDE to supercharge your development workflow. Our IDE plugins provide context-aware AI assistance right where you need it.

Claude Claude
Cursor Cursor
Windsurf Windsurf
Cline Cline
GitHub Copilot GitHub Copilot
VS Code VS Code

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Create Your Own Agent

Build custom AI agents tailored to your specific needs using our flexible and powerful platform.

Agentic Mode

Simple
from toolrouter import ToolRouter     toolr = ToolRouter(   client_id="client_id",   client_secret="client_secret",   model="claude-3-5-sonnet-20240620" )     toolr.agentic("Can you send me shopify orders report for the last 30 days to my email?")

Quick one-line implementation for instant agentic capabilities with no additional setup.

Function Calling

Advanced
from anthropic import Anthropic from toolrouter import ToolRouter     client = Anthropic() toolr = ToolRouter(client_id="<>", client_secret="<>")     message = client.messages.create(   model="claude-3-5-sonnet-20240620",   system=system_prompt,   messages=messages,   tools=toolr.list_tools() )     for content in message.content:   if content.type == "tool_use":     tool_call = content.tool_use     tool_name = tool_call.name     params = json.loads(tool_call.input)     result = toolr.call_tool(tool_name, params)

Full control over function calling workflow with complete integration into your existing AI applications.

Key Features

Everything you need to build, deploy, and scale AI agents with real-world capabilities

Combine MCP Servers

Connect and orchestrate multiple Model Context Protocol servers to create powerful, flexible AI agents that can perform complex tasks.

Multiple Providers

Seamlessly integrate with all major AI providers including OpenAI, Anthropic, Google, and others to leverage the best models for your needs.

Simple Integration

With just a few lines of code, connect your application to powerful AI tools and capabilities that make your agents truly useful.

Secure & Reliable

Enterprise-grade security and reliability for your AI integrations, with robust authentication and data protection measures.

High Performance

Optimized for speed and efficiency, our infrastructure ensures your AI agents respond quickly to user requests.

Analytics & Insights

Track usage patterns and performance metrics to continuously improve your AI applications and user experiences.

Get Early Access

Join our waitlist to be among the first to try ToolRouter