Needle.ai MCP Server

Needle.ai provides intelligent search and knowledge extraction capabilities using advanced NLP and machine learning. The platform organizes content into collections that can be semantically searched and analyzed to surface relevant insights from large document repositories.

Core Capabilities

Collection Management: Create and manage document collections that serve as searchable knowledge bases. Each collection can contain multiple files and provides detailed statistics about its contents.

Document Operations: Add files to collections and remove them as needed. The platform supports various document types and automatically processes them for semantic understanding.

Semantic Search: Perform intelligent searches across collections that go beyond keyword matching. The search understands context and meaning to surface the most relevant results from your document corpus.

Knowledge Discovery: Extract insights and find connections within your data that traditional search methods might miss, leveraging the platform's NLP capabilities.

Domain Model

Collections serve as containers for related documents and are the primary unit for search operations. Files within collections are processed and indexed for semantic search. Search results are ranked by relevance and limited to prevent overwhelming responses (10 results max per query, 100 files max per listing).

Key Considerations

Pagination is required for larger datasets - use offset parameters to retrieve additional results beyond the default limits. Collections have a maximum of 20 results per listing, while file listings cap at 100 results.