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If you’re developing with AI, Nekt offers several resources to help your agents work with the platform — from querying data to automating pipelines and managing resources.

MCP Server

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Nekt’s MCP Server gives AI agents a structured way to discover data, run queries, read files, and learn about the platform — all through a single integration point. The server supports OAuth 2.1 for desktop apps like Claude Desktop and Cursor, and bearer tokens for CLI tools and automation platforms. To connect via bearer token, add the server to your MCP client configuration:
{
  "mcpServers": {
    "Nekt": {
      "type": "http",
      "url": "<MCP_ENDPOINT>",
      "headers": {
        "Authorization": "Bearer <MCP_TOKEN>"
      }
    }
  }
}
Replace <MCP_ENDPOINT> with the endpoint from the MCP Server page in Nekt, and <MCP_TOKEN> with the token you created.

Docs for Agents

Give your agent up-to-date Nekt documentation for better context when working with the platform.
  1. Documentation index Fetch the complete documentation index to discover all available pages:
    https://docs.nekt.com/llms.txt
    
  2. Full docs file Give your agent all of Nekt’s documentation in a single file:
    https://docs.nekt.com/llms-full.txt
    

Platform API

The Platform API gives agents programmatic control over Nekt resources via REST. Use it to create and trigger sources, manage pipelines, track runs, and operate on the catalog — anything you can do in the UI, agents can automate through the API. Authenticate with an API key in the x-api-key header:
curl --request GET \
  --url https://api.nekt.ai/api/v1/sources/ \
  --header "x-api-key: <API_KEY>"
Create an API key in Workspace Settings.

Platform API Reference

Full API reference for managing Nekt resources.

Data API

The Data API lets agents query your data directly over HTTP using SQL. Submit a query, and download the results as Parquet or CSV.

Data API Reference

Query your data using SQL through the Data API.

AI Integrations

Step-by-step guides for connecting specific AI tools to Nekt.