MCP Connects Tools.
Agents Make Them Smart.
MCP exposes your tools. Agent Gateway adds reasoning, memory, and governance — so your AI assistants actually know how to use them.
api.xpander.ai/mcp/MCP Alone Isn't Enough
MCP connects AI to tools. But it doesn't know when to use them, why to use them, or how to use them correctly. That's what agents do.
Reasoning & Memory
Agents remember context across sessions and apply domain-specific logic. They don't just call APIs — they understand your business.
Multi-Step Planning
Complex tasks require multiple tool calls in the right order. Agents break down goals, handle errors, and adapt mid-execution.
Security & Governance
Control what each user can access. Mask PII before it hits the model. Audit every action. MCP has auth — agents have policy.
90% Token Reduction
Raw MCP floods context with tool definitions. Agents load tools on-demand and process data efficiently — cutting costs dramatically.
MCP Alone vs. Agent Gateway
The gateway works both ways — proxy mode today, agent mode when ready.
Four Ways to Add Agents
Flexible options to match how you work.
No-Code Workbench
Build agents in xpander's visual interface. They run on xpander infrastructure.
Register External Agents
Connect existing agents via A2A, MCP, or API. The gateway routes prompts to them.
Instrument Your Code
Use any framework (LangGraph, CrewAI, etc.). Wrap your agent and connect it.
Provide MCP JSON
Upload an MCP JSON file. xpander creates an agent from those tool definitions.
Connect Your AI Client
Add config. Authenticate once via OAuth. Access all your agents.
Claude
Desktop & API
ChatGPT
OpenAI
Cursor
AI IDE
VS Code
Copilot
Works with any MCP-compatible client • View full documentation
Enterprise Governance Built In
MCP tells you who is connecting. The Agent Gateway controls what they're allowed to do and see.
Make Your MCP Tools Intelligent
One endpoint. Reasoning, memory, and governance for every AI assistant.
