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Model Context Protocol

Qeasy MCP Server

Qeasy Cloud's Model Context Protocol (MCP) server lets AI agents discover and invoke 500+ connectors and 2,000+ documented API assets as native, typed tools — no custom glue code, no screen scraping. The same integration capabilities enterprises configure in the Qeasy console today, re-published in the machine-native shape agents expect.

Why Qeasy for AI Agents

AI agents are only as good as the tools they can call. Qeasy has spent years productizing exactly the layer agents need most: governed, observable access to real business systems.

500+ Prebuilt Connectors

ERP (Kingdee, Yonyou, SAP), e-commerce (Taobao, Tmall, JD, Douyin, Lazada), CRM, WMS and MES systems — already integrated, field-mapped and battle-tested in production.

2,000+ Documented API Assets

Every API in the Qeasy market ships with request/response schemas, so an agent can inspect the contract before it ever makes a call — zero guesswork, zero hallucinated parameters.

Production-Proven AI Agents

Qeasy's own AI products run agents in production today: four agents power e-commerce financial reconciliation, three drive smart replenishment — reading statements, matching orders and generating auditable proposals at scale.

Governance Built In

Every tool call passes through the same permission, rate-limit and audit pipeline as human-triggered integrations. An agent gets exactly the access you grant — nothing more.

What the MCP Server Exposes

Four capability families, one standard protocol. Each tool is deterministic, typed and auditable.

Connector Tools

Each prebuilt connector — ERP, e-commerce, CRM, WMS, MES — exposed as callable MCP tools for reading and writing business data with schema-validated parameters.

API Asset Resources

The Qeasy API market published as MCP resources: an agent can list, search and inspect any of the 2,000+ documented APIs, then invoke them with confidence.

Pipeline Actions

Trigger and supervise configured data-integration pipelines: run a sync, poll task status, and pull error logs for failed runs — full operational control from the agent side.

Fact Data & Knowledge

Curated fact tables and knowledge bases from Qeasy's AI products (reconciliation, replenishment) queryable as structured resources — the same fact-data foundation our own agents reason over.

Tool Surface

The tool namespace mirrors the way Qeasy's own production agents work — read facts, reason, propose, then act under supervision.

  • connector.invoke — call any connector operation with schema-validated params
  • connector.describe — inspect a connector's operations, fields and constraints
  • pipeline.run / pipeline.status — execute and monitor integration jobs
  • reconciliation.query — fetch reconciliation results and discrepancy reports
  • reconciliation.explain — trace any discrepancy back to source statements and orders
  • replenishment.suggest — retrieve replenishment suggestions with formulas and full traceability
  • knowledge.query — search curated business knowledge bases built from your own data

Access & Security

The server speaks standard MCP over streamable HTTP, authenticated with workspace-scoped API keys issued from the Qeasy console.

Every tool call is permission-checked, rate-limited and written to an audit log — the same pipeline that governs human-triggered integrations. Agents never bypass governance.

Sensitive operations are propose-then-confirm: an agent drafts the change, a human (or a policy) approves it, and the execution is fully traceable end to end.

Want to shape the tool surface or join the early-access program? Reach us via the contact page and mention “MCP”.

Connect your AI agents to 500+ business systems

Tell us which systems your agents need to reach — ERP, e-commerce, CRM or WMS — and we will prioritize those connectors for your workspace.

Qeasy MCP Server - 500+ Connectors & 2,000+ APIs as AI Agent Tools | 轻易云