Model Context Protocol for AI Agents
Give AI assistants like Claude, Cursor, and custom agents direct access to your search, indexing, and analytics through a standardized protocol.
AI-Native API Access
The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data sources. With Seekora's MCP server, AI agents can search your product catalog, manage documents, retrieve analytics, and configure search settings, all through a single, secure connection.
Whether you are building a customer support bot, an internal knowledge assistant, or a conversational shopping experience, MCP provides the bridge between your AI and your commerce data.
mcp.json
{ "mcpServers": { "seekora": { "url": "https://api.seekora.ai/mcp", "headers": { "x-storeid": "your-store-id", "x-storesecret": "your-read-secret" } } }}
What Your AI Can Do
Search Products
Query product catalogs directly from AI conversations. Your AI assistant can find relevant products, apply filters, and return structured results.
Manage Data
Index, update, and delete documents programmatically. AI agents can maintain your catalog without manual intervention.
Access Analytics
Retrieve search insights and performance data. Understand what shoppers are looking for and how your search is performing.
Configure Search
Adjust ranking rules and merchandising settings. Let AI agents fine-tune relevance based on business objectives.
Built for Real-World Applications
Customer Support AI
Let support agents search your catalog in real time. Resolve product questions faster by giving AI direct access to your inventory.
Internal Knowledge Search
Connect AI assistants to product documentation. Teams can find specifications, availability, and pricing instantly.
AI Shopping Assistant
Build conversational commerce experiences. Shoppers describe what they want, and the AI finds matching products automatically.
MCP Questions Answered
Common questions about the Model Context Protocol and AI integration.
What is the Model Context Protocol (MCP)?
MCP is an open standard that lets AI assistants connect to external data sources and tools. It provides a structured way for models like Claude, GPT, and custom agents to interact with APIs securely.
Which AI platforms support MCP?
MCP is supported by Claude (Anthropic), Cursor IDE, and any custom agent framework that implements the MCP specification. Support is growing across the AI ecosystem.
Is MCP access included in all plans?
Yes. MCP access is available on all plans, including the free tier. Rate limits match your plan level, so you can start experimenting immediately.
How is MCP different from the REST API?
MCP wraps the same functionality as the REST API but in a format optimized for AI agents. It includes tool descriptions, parameter schemas, and structured responses that AI models can interpret directly.
Can I restrict what MCP agents can access?
Yes. Use read-only secrets to limit agents to search operations. Write secrets enable data management. You control access at the credential level, so different agents can have different permissions.
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