Searchspring Connector for AI agents.
10 live capabilities
Query your e-commerce product catalog and inventory with natural language.
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Why people use Searchspring
Searchspring for E-commerce Catalog Auditing
With this Connector, you just ask your agent to pull the data. You get a clean summary of stock levels or pricing instantly in your chat window.
What Vinkius changes
That your AI gains a direct line to your e-commerce inventory for instant data retrieval.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Merchandising Audit
An e-commerce manager asks the AI to find all 'Mens Shoes' that are currently out of stock to see where they need to restock.
- Real-world use case 02
Developer QA
A developer uses search_custom to verify that new JSON facets are being parsed correctly before the site goes live.
- Real-world use case 03
Support Speed
A support agent asks for the specs of SKU 'LPTOM-415' to answer a customer's tech question without switching tabs.
Complete set · 10capabilities
The complete Searchspring capability set.
These are the exact actions your AI can choose when you ask it to work with Searchspring.
01—04
4 capabilities in this set.
Part of 10 available through Searchspring.
- 01 Capability
Suggest queries
Pulls the autocomplete suggestions your customers see. It helps you understand what people are actually looking for.
- 02 Capability
Search brand
Lists all products associated with a specific brand. Use this to create brand-focused shopping experiences.
- 03 Capability
Search category
Lists products within a specific category path. This helps the AI understand your store's hierarchy.
- 04 Capability
Search custom
Executes searches using unique Searchspring parameters. This lets you use the full power of your specific setup.
05—07
3 capabilities in this set.
Part of 10 available through Searchspring.
- 05 Capability
Search filtered
Filters products based on specific keys like size or color. It helps you find exact matches in a large catalog.
- 06 Capability
Search pagination
Retrieves specific pages of search results. Use this to navigate through large sets of items.
- 07 Capability
Search price range
Finds products within a specific price bracket. It's the fastest way to show customers budget-friendly options.
08—10
3 capabilities in this set.
Part of 10 available through Searchspring.
- 08 Capability
Search products
Performs a general search across your entire catalog. This is the go-to capability for broad product discovery.
- 09 Capability
Search sku
Pulls every detail for a specific SKU. It's perfect for verifying exact specs or current stock levels.
- 10 Capability
Search sorted
Sorts your search results by criteria like price or popularity. This makes it easy to show the most relevant items first.
Set up in minutes
One URL. Then ask Searchspring to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Searchspring from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_44ngnKMHV7LnrsfvgkXeZwgaYIcvUjpmYWw4vK9v/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Searchspring, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Searchspring for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_44ngnKMHV7LnrsfvgkXeZwgaYIcvUjpmYWw4vK9v/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Searchspring URL.
- Step 03
Save and start
Save the connection and enable Searchspring in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"searchspring": {
"url": "https://edge.vinkius.com/vk_preview_44ngnKMHV7LnrsfvgkXeZwgaYIcvUjpmYWw4vK9v/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Searchspring
Open Agent mode in chat and ask: "Using Searchspring, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"searchspring": {
"url": "https://edge.vinkius.com/vk_preview_44ngnKMHV7LnrsfvgkXeZwgaYIcvUjpmYWw4vK9v/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Searchspring
Ask Copilot: "Using Searchspring, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"searchspring": {
"url": "https://edge.vinkius.com/vk_preview_44ngnKMHV7LnrsfvgkXeZwgaYIcvUjpmYWw4vK9v/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Searchspring
Open Cascade and ask: "Using Searchspring, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"searchspring": {
"url": "https://edge.vinkius.com/vk_preview_44ngnKMHV7LnrsfvgkXeZwgaYIcvUjpmYWw4vK9v/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Searchspring
Ask Cline: "Using Searchspring, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add searchspring --transport http "https://edge.vinkius.com/vk_preview_44ngnKMHV7LnrsfvgkXeZwgaYIcvUjpmYWw4vK9v/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Searchspring
Ask Claude: "Using Searchspring, show me...". 10 tools are ready
Where the request belongs
Work Searchspring can move forward.
E-commerce teams who are tired of manual inventory lookups and want to give their AI agents eyes on their live product catalog.
E-commerce Manager
Checks out-of-stock gaps in specific categories to plan next month's promotions.
Developer
Verifies that custom JSON facets and sorting rules are working before pushing to production.
Customer Support
Quickly pulls up SKU specs and pricing to answer customer questions in a single chat window.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsConstructor
Empower e-commerce discovery via Constructor.io. perform ML-ranked product searches, get personalized recommendations, and audit browse categories directly from any AI agent.
Doofinder
Empower e-commerce search via Doofinder. perform keyword and filtered searches, get predictive suggestions, and audit search analytics directly from any AI agent.
Bazaarvoice
Analyze and manage user-generated content via Bazaarvoice. list products, reviews, and customer questions directly from any AI agent.
Kelkoo
Search product offers, compare prices, and explore retail catalogs via Kelkoo.
Klevu (E-commerce AI Search)
Power your e-commerce discovery via Klevu AI. execute keyword searches, manage category merchandising, and retrieve product recommendations.
Ecwid
Manage e-commerce stores via Ecwid. search products and orders, handle inventory, track customers, and audit store profiles directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Searchspring connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Searchspring.
The practical details behind the request, access and result.
Can I use Searchspring MCP to check if items are in stock?
Yes. You can ask your agent to check the real-time status of any specific SKU, and it will return the current stock level and pricing.
How does Searchspring MCP help with merchandising?
It helps you identify gaps in your inventory by finding out-of-stock items in specific categories or brands instantly.
Can I see what customers are searching for?
Yes. You can pull autocomplete suggestions to see what your customers are actually typing into your search bar.
Does Searchspring MCP work with my existing store?
It works with any store using Searchspring or Athos Commerce. You just need to provide your unique Site ID.
Can I filter by price and brand at the same time?
Yes. Your agent can combine multiple filters, like brand and price range, to find exactly what you need in one go.
Can I use Searchspring MCP to audit my categories?
Yes. You can ask the AI to browse your category hierarchy to verify that your product metadata is syncing correctly.
Can the AI filter catalog products by specific colors or variations?
Yes. You can instruct the agent: 'Find all Men's Shirts and filter by color: Blue and size: Medium'. The agent will natively invoke search_filtered passing the specific parameter facets to narrow down exactly what is requested.
Can I check autocomplete queries directly from the chat prompt?
Absolutely. Use the prompt: 'What queries do you suggest when someone types "runn"?'. The agent fires suggest_queries simulating a shopper and returns search trends such as 'running shoes', 'running shorts', demonstrating what customers see.
How do I ensure the integration only searches within a specific category?
You can explicitly ask the AI to restrict the search. For example: 'Using the Searchspring API, list the top 5 products strictly in the Electronics > Audio category'. The agent invokes search_category, returning items isolated within that structural path.
One connection away
Give your agent a direct line to Searchspring.
Connect Searchspring once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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