Agent-native standard

MCP Server

KeeperHub's MCP server exposes our triggers and actions as native tools for any MCP-compatible agent. Claude, GPT, LangChain, CrewAI, ElizaOS: if it speaks MCP, it can discover and invoke KeeperHub workflows without bespoke integration code. Live today at docs.keeperhub.com/ai-tools/mcp-server.

About MCP

The Model Context Protocol (MCP), originated by Anthropic, standardizes how AI agents discover and use tools. As of early 2026 the protocol sees roughly 97 million monthly SDK downloads, and it is natively supported across Claude, ChatGPT, Gemini, Microsoft Copilot, Cursor, and VS Code Copilot. For agent execution infrastructure, MCP is the discovery and invocation layer.

KeeperHub's integration

Live today. The integration guide lives at docs.keeperhub.com/ai-tools/mcp-server. The KeeperHub MCP server exposes triggers (on-chain events, schedules, webhooks), actions (contract calls, transfers, protocol integrations across 12 EVM chains and 20+ protocols), and execution monitoring, with pay-per-call settlement via x402 or MPP.

Why it matters

How agents use the MCP server

Claude and GPT discover KeeperHub natively

Any MCP-compatible runtime lists KeeperHub triggers and actions as tools. No bespoke SDK, no hand-rolled tool definitions.

Multi-framework support

Claude, GPT, LangChain, CrewAI, ElizaOS, AutoGPT, Hermes, any runtime that speaks MCP. The execution layer stays the same.

Natural-language agent instructions

Describe what you want the workflow to do; the agent picks the right KeeperHub tool and invokes it.

Combine with other MCP servers

Agents already use multiple MCP servers (e.g. Pythia for Chainlink oracles). KeeperHub slots in alongside them for the execution step.

Monitor execution from the same interface

Execution status, gas used, outcome, and audit trail are accessible through the same MCP tool surface.

Pay per call via x402 or MPP

MCP-invoked workflows settle at the moment of execution. No accounts, no credit cards, no pre-funded credit.

Getting started

Using the MCP server with KeeperHub

1

Install the KeeperHub MCP server

Follow the integration guide at docs.keeperhub.com/ai-tools/mcp-server.

2

Grant your agent access

Configure your MCP-compatible agent runtime (Claude, GPT, LangChain, etc.) to use the KeeperHub server.

3

Invoke KeeperHub tools

Your agent discovers triggers and actions as native tools. Describe the workflow in natural language or make a structured call.

References

Further reading

Wire KeeperHub into your agent today

Install the MCP server. Grant your agent access. Let it discover and invoke workflows natively.