Needle MCP Server

The Needle MCP Server transforms the way developers bring rich, document‑centric data into Claude and other LLM‑powered tools. By exposing a Model Context Protocol interface, it turns the Needle platform—a semantic search engine for PDFs, DOCX files, spreadsheets, and more—into a first‑class data source that can be queried with natural language. This eliminates the need for custom indexing pipelines or bespoke database adapters, allowing teams to focus on building conversational experiences instead of infrastructure.

At its core, the server provides a set of intuitive commands that let an assistant perform three key operations: store, search, and retrieve. Documents can be uploaded directly from the desktop client, organized into collections, and then indexed by Needle’s semantic engine. When a user asks a question, the assistant forwards the query to the server, which returns ranked snippets and metadata from the most relevant documents. This workflow gives developers instant access to knowledge buried in large corpora without writing any additional code or managing embeddings.

Key capabilities include:

• Document Management – Add, delete, and organize files in a structured collection that mirrors the Needle UI.
• Semantic Search – Leverage Needle’s vector search to surface contextually relevant passages, even when the query wording differs from the source text.
• Rich Metadata Handling – Return file names, paths, and custom tags alongside search hits for easy traceability.
• Seamless Integration – Works natively with Claude Desktop and Cursor, as well as any LLM client that supports MCP, through a simple configuration entry.

Typical use cases span from building knowledge‑base chatbots for internal support, to creating research assistants that can pull insights from academic PDFs, or automating compliance reviews by scanning legal documents. In each scenario, the server reduces latency and complexity: a single HTTP request to the MCP endpoint yields structured results that can be embedded directly into conversational flows.

What sets Needle MCP Server apart is its tight coupling with the Needle ecosystem. Developers already using Needle for search benefit from a unified API surface, while new users gain instant semantic search without the overhead of setting up vector stores. The server’s remote deployment model means teams can adopt it out of the box, scaling automatically with their document load. For developers looking to embed powerful, document‑aware intelligence into AI assistants, Needle MCP Server delivers a turnkey, standards‑compliant solution that keeps data in sync with the latest semantic search advances.