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by Collaborne • NLP & LLM
An MCP server that lets LLMs interact with NEXT structured data to retrieve highlights and clusters for analysis and summarization.
Fetch and filter NEXT highlights (e.g., user frustrations, pain points) from a specific team-space for analysis.
Retrieve and summarize NEXT clusters to extract main topics, trends, or recurring themes.
Integrate NEXT data access into desktop LLM workflows (for example, Claude Desktop) to enable interactive queries and summaries.
A TypeScript-based MCP server built with the MCP SDK that provides tools for accessing NEXT data. It exposes tools to fetch highlights and clusters (next-get-highlights and next-get-clusters) and is intended for use by LLM agents such as Claude. The server requires a NEXT API key and is scoped to a single team-space, providing a secure, standardized way to query and summarize NEXT content. It also includes guidance for integrating with Claude Desktop and debugging with an MCP inspector.
Used to fetch tags: Tags are used to categorize insights/highlights, and help in organizing and filtering data
Used to fetch highlights: insight nuggets from User Interviews, Sales Calls, etc. Best used for specific details about a topic
Used to fetch insight nuggets from User Interviews, Sales Calls, etc. Best used for specific details about a topic
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