AI & Agent Access

Connect your AI.
It already knows how.

"What are you doing with AI?" Here's our answer: NiftyImages hosts a Model Context Protocol (MCP) server, so the AI your team already uses — Claude, ChatGPT, Codex, Cursor, and anything else that speaks the open standard — can work with your account conversationally. Behind it sits a first-class REST API and documentation written for agents and chatbots as much as for people.

12 MCP tools
3 steps no-code setup
7 agent skills
store_mcp · agent
connected · store_mcp · ready
Works with
Klaviyo Mailchimp Salesforce MC BloomReach Braze Iterable ActiveCampaign
Store MCP

Chat with your Data Stores from any AI

Ask for counts, look up a record, update values, import CSVs — in plain language, inside the AI tool you already use. No SQL, no exports, no developer in the loop. And because Data Stores power live images, a record your AI updates in chat changes what recipients see on the next open.

12 tools cover the full store lifecycle — create stores, count and search records, update values, and import CSVs straight from chat
Scoped API keys control the blast radius — a store-scoped key hands an AI exactly one list, while account keys can manage every store
Guard-railed for agents — read-only vs. destructive tool annotations, deletes that require explicit confirmation, and every call logged in your API log
Built on the open MCP standard — one endpoint serves Claude, ChatGPT, Codex, Cursor, and whatever ships next
Connect your AI →
One URL. Any AI. https://dev.niftyimages.com/store_mcp Authenticated with your key Authorization: Bearer <your-api-key>
Developer API

A first-class API, not an afterthought

Everything your team builds in the UI, your systems and agents can build over REST. The v2 API covers the catalog — with an interactive reference, exact schemas for generated clients, and task-oriented guides. It shares the same scoped key model and logging as MCP, so one security story covers both.

Images
Timers
Timer Frames
Fonts
Maps
Data Stores
Agent-Ready Docs

Documentation your agents can read

Every page of our developer documentation is available as plain Markdown, built for AI ingestion — point a chatbot or coding agent at our dev site and it can learn the whole platform. Compact and full context bundles give an agent exactly as much as it needs, OpenAPI schemas define every operation precisely, and ready-made Agent Skills teach coding agents complete workflows: importing CSVs, querying and exporting stores, drafting timers, browsing images, and building maps.

Browse the developer docs →
How it works

Connected in 3 steps

No code, no SDK, no integration project. If your AI tool supports MCP, you're minutes away.

1

Create an API key

In the NiftyImages UI, create an account-wide key — or a store-scoped key that grants access to exactly one Data Store.

2

Add the server URL

Paste the MCP server URL into your AI tool with your key. Our "Connect with AI" guide has copy-ready instructions per client.

https://dev.niftyimages.com/store_mcp
3

Start chatting

The tools load automatically. Ask for counts, update records, import a CSV — your AI can even tell you what it's allowed to touch before it starts.

Use cases

What teams do with it

Marketers

Ask "how many VIP guests are in California?" or "update alice@example.com's score to 100" — and because Data Stores power live images, the change shows on the very next open.

Ops & data upkeep

Keep stores fresh conversationally — attach the weekly CSV to a ChatGPT conversation and let the connector import it, matching existing records automatically.

Developers & agencies

Coding agents read the schema, seed test data, and verify queries while building integrations. Agencies hand partners a store-scoped key so their AI manages one list and nothing else.