
Pullpush Mcp
ai.pullpush由 pullpush.ai 發布官方發布者v2.4.0更新於 Oct 31, 2026
Connect any two APIs and keep them in sync — 50 MCP tools with shadow previews and diagnostics.
概覽
PullPush 官方 MCP 伺服器,讓助理建立、預覽、執行並監控商店、ERP、市集平台與 POS 系統之間的 API 資料同步整合。
- 可以做什麼
- 建立、測試、列出、更新與刪除與 Shopify、WooCommerce、Linnworks、Xero、HubSpot 等外部系統的連線
- 建立、試跑、暫停、恢復與檢視同步流程,包括由自然語言描述產生的流程
- 預覽來源與目標之間的差異,對帳並投遞變更,產生資料快照,掃描目錄並管理基準
- 建議、驗證、比較、解釋與比對來源與目標結構之間的欄位對應
- 診斷失敗原因,掃描各流程的近期問題,回答維運問題,並回報租戶健康度、待處理量與異常
- 產生並註冊 TypeScript 連接器,推送 CSV/JSON/XML 檔案,排程匯出,執行批次設定,並管理租戶、帳務與市集上架項目
- 適用情境
- 適合需要助理建置或維護電商、倉儲、市集平台、ERP 或 POS 系統之間整合的情況,也適合讓代理在上線前預覽並核對庫存、訂單與商品資料。適用於已使用 PullPush.ai 的團隊,或願意先以沙箱租戶試用的團隊。
- 執行需求
- 需要 PULLPUSH_API_KEY 中的 PullPush API 金鑰(管理面板 Settings → API Keys),或使用 OAuth。可連線託管的 streamable-HTTP 端點,或以 npm 套件 kaduno-pullpush-mcp 作為本機 stdio 代理執行,後者需要 Node.js。選用 PULLPUSH_API_URL(自架執行個體)、PULLPUSH_CACHE_DIR 與 PULLPUSH_TIMEOUT_MS。需要連上 API 的網路;可免註冊申請免費沙箱租戶。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Pullpush Mcp,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/ai.pullpush%2Fpullpush-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"pullpush": {
"type": "http",
"url": "https://api.pullpush.ai/mcp"
}
}
}README
PullPush MCP — connect any two APIs and keep them in sync
[npm] [MCP Registry] [license]
The official MCP server for PullPush.ai — an integration platform that connects e-commerce stores, warehouses, marketplaces, ERPs, and POS systems, and keeps stock levels, orders, and products in sync across all of them.
This server lets AI agents (Claude, Cursor, or anything that speaks Model Context Protocol) build, run, and monitor those integrations end to end: connect two systems, preview the sync safely, and cut over to live — without a human clicking through a dashboard.
Why agents like it
- Deterministic runtime, no LLM in the hot path. AI helps at build time (connector generation, field-mapping suggestions); the sync engine itself is predictable, versioned, and observable.
- Safe by default. New flows start in shadow mode (read-only).
pullpush.syncaction:"preview"shows a structured source-vs-destination diff before anything is written. - Credentials never touch your machine or env. Connection secrets are envelope-encrypted (AES-256-GCM, per-tenant keys) server-side the moment they're created.
- Self-describing. A
get-startedMCP prompt walks from zero to a working integration;pullpush://resources expose the tool catalog, quickstart, and agent guide — no pre-briefing needed. - Structured, actionable errors. Failures return
{code, suggestion, suggestedTool, retryable}— an agent always knows the next step. - Server-grade reliability. Circuit breakers, per-key ordered delivery, idempotency, dead-letter queue with retry, exponential backoff.
Try it in 60 seconds — no signup
Returns a free 48-hour sandbox tenant: an API key, ready-to-paste MCP configs, and two
pre-wired demo connections whose stock data deliberately disagrees — so your first
pullpush.sync action:"preview" shows a real canonical diff (drifted quantities, a missing
item, in-sync rows). The sandbox deletes itself on expiry — or keep it:
POST /api/sandbox/claim (Bearer = the sandbox key, {"email": "..."}) converts it to a
persistent free tenant with everything you built preserved.
Quick start
Connect straight to the hosted endpoint. It is the most robust option — nothing runs on your machine, so there is no process to crash or go stale:
Add this to ~/.cursor/mcp.json (Cursor), Claude Desktop's config, or the MCP config for your
client.
Clients that only speak stdio
Use this package as a local stdio proxy to the same endpoint. Install a pinned version once and
run the binary — do not use npx ...@latest, which re-resolves the package (and needs the
network) every time your client starts the server:
The proxy never exits because the API is unreachable: it starts, answers your client, and
connects in the background (exponential backoff, honouring Retry-After). It reconnects after a
network blip or an API restart, and while it is offline a tool call returns a retryable
"reconnecting" error that changes nothing. The tool catalogue is cached on disk, so a restart
while the API is down still lists your tools.
Then ask your agent to run the get-started prompt — it walks through the whole flow:
catalog connectors → create + test connections → suggest a field mapping → create the flow in
shadow mode → preview the diff → cut over.
Getting an API key
For a throwaway key, use the sandbox above. For a persistent tenant:
- Sign up free (1 connection, 1,000 events/month — no card)
- Admin panel → Settings → API Keys
- Create a key with the scope you need (tenant, org, or admin)
Tools
50 tools (30 explicit tools plus 228 actions across 20 domain routers) covering the
full integration lifecycle. Explicit tools are individually named; domain routers accept an
action parameter with multiple operations.
Connections
pullpush.connection.create— Create and configure a connection to an external system (Shopify, WooCommerce, Linnworks, Xero, HubSpot, and 20+ more)pullpush.connection.test— Test live connection credentials; returns health metrics and failure countpullpush.connection— List, get, update, delete, and configure connections (router with actions: list, get, update, delete, health, config)
Flows
pullpush.flow.create— Wire a source→destination sync pipeline with triggers, mapping, and canonical data modelspullpush.flow.dryRun— Dry-run an event through flow transform/filter without delivery; returns mapped payloadpullpush.flow.natural— Create a flow from a natural-language description; proposes mapping and creates in shadow modepullpush.flow— List, get, update, pause/resume, delete flows and view delivery history (router)
Sync & reconciliation
pullpush.sync.reconcile— Reconcile-and-deliver: diff source vs destination, then deliver changes with per-item progresspullpush.sync— Preview diffs, snapshot data, inspect single keys, scan catalogs, diagnose unmatched SKUs, manage baselines (router with actions: preview, snapshot, inspect, reconcile, scan, reset-baseline, baseline.history, baseline.rollback, channel-cache, unmatched)
Field mapping
pullpush.mapping.suggest— AI-proposes field mapping from source sample to target shape; returns mapping, confidence, previewpullpush.mapping.validate— Validate a mapping config against source and destination schemaspullpush.mapping.compare— Compare two mappings side by sidepullpush.mapping.explain— Explain how a mapping transforms data, step by steppullpush.mapping.diff— Diff two mapping versions to see what changedpullpush.mapping.get— Get a flow's current mapping config, source fields, and destination fields
Diagnostics
pullpush.explain— Diagnose why a flow, connection, or delivery failed; gathers errors, identifies patterns, suggests fixespullpush.diagnose.recent— Scan all flows for recent failures; returns a prioritized issue listpullpush.ask— Answer natural-language ops questions using tenant failures and anomalies
Connector authoring
pullpush.connector.generate— AI-generates TypeScript connector code, typechecks, tests, and registerspullpush.connector— List, get, update, and manage connector definitions (router)
Data operations
pullpush.data.push— Push file data (CSV, JSON, XML) into a connectionpullpush.import— File-based data import operations (router)pullpush.export— Scheduled export pipelines: create, list, update, delete, test, run (router)pullpush.canonical— Inspect and manage canonical data models (router)
Shadow mode & safety
pullpush.shadow— Run integrations read-only before going live; compare shadow vs live results (router)
Batch operations
pullpush.batch.test— Test multiple connections in parallelpullpush.batch.status— Get status matrix across all flowspullpush.batch.setup— One-call setup: create connections + flow + test in one operationpullpush.batch— Multi-flow batch operations and proactive reports (router)
Ops & health
pullpush.health.overview— Tenant health dashboard: connections, flows, failures, backlog, delivery rate, anomaliespullpush.health.mcp— MCP server health: database, tools registered, uptimepullpush.ops— Anomaly detection, dead-letter recovery, operation monitoring (router)
Workflows
pullpush.workflow.create— Create multi-step workflow with trigger and step DAGpullpush.workflow.trigger— Manually trigger a workflow run from an existing eventpullpush.workflow— List, get, and manage workflows (router)
Integrations & marketplace
pullpush.integration.create— Create an integration grouping flows/workflows under one namepullpush.integration— List and manage integrations (router)pullpush.marketplace.install— Install a marketplace listing into your tenantpullpush.marketplace— Browse and manage marketplace connectors (router)pullpush.destination.provision— Provision custom fields on destination API (e.g. HubSpot properties)
Administration
pullpush.tenant— Tenant management: list, get, create, update (router)pullpush.billing— Subscription and usage management (router)pullpush.partner— Partner program operations (router)pullpush.backup— Backup and restore operations (router)pullpush.feedback— Submit feedback about MCP tool quality or missing features
Full tool reference: pullpush.ai/docs/mcp
Environment variables
Auth scopes
Tools are automatically scoped: a tenant key never sees another tenant's data.
Features
- Never dies on a bad connection: starts even when the API is down, reconnects on its own, and serves a cached tool catalogue meanwhile
- Auto-refresh: tool catalog refreshes every 5 minutes — new server-side tools appear without a restart (clients are notified only when the catalogue really changed)
- Offline quickstart: built-in
pullpush://docs/quickstart-localresource works without network - Retry on unknown tool: automatically refreshes the catalog when a tool is not found
- Clear error messages: auth failures, network issues, and version mismatches are explained
Documentation
- Getting started — 5 minutes to a first integration
- MCP guide — full tool reference and client setup
- Shadow mode · Preview & reconcile · Security
- llms.txt — machine-readable product summary
- Machine-readable integration catalog
- MCP registry entry:
ai.pullpush/pullpush-mcp
Also available: pullpush-mcp-dev
For connector authors, platform admins, and internal developers, pullpush-mcp-dev exposes additional tools for:
- AI-powered connector generation and composition
- Canonical schema management
- Marketplace publishing
- Billing and partner administration
- Batch operations across all tenants
Development
This repository is a published mirror of the MCP client package; the platform itself is developed in a private monorepo. Issues and questions are welcome here or at [email protected].
License
MIT
Development
Development happens in the PullPush platform monorepo; the Kaduno-systems/pullpush-mcp repository is a published mirror of each release. Issues are welcome there; code changes land via the monorepo.
來源:README.md,提交 41e0f53
工具
0版本歷史
3- v2.4.0最新Oct 31, 2026
- v2.3.0Oct 31, 2026
- v2.2.1Sep 16, 2026
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